T-02
Transparency & Disclosure
AI Content Labeling & Provenance
AI-generated content must be identifiable. This obligation falls on three different actor types — content generators, platforms, and hardware manufacturers — and ranges from visible human-perceptible labels to embedded machine-readable provenance signals to platform detection.
Sub-obligations8
Bills96
Jurisdictions29
Enacted12
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8 sub-obligations of T-02

Click any row to jump to its bills below.
ID Sub-Obligation Enacted Live Failed Total
T-02.1 Visible or audible label
Publishers must attach a human-perceptible label — such as a watermark, caption, or audio tag — to AI-generated content, conspicuously identifying it as AI-generated.
8Enacted 50Live 33Failed 91Total Jump →
T-02.2 Embedded provenance metadata
AI-generated content must carry embedded machine-readable provenance signals at the point of generation, enabling downstream detection even if visible labels are removed. Signals must be durable and survive common transformations such as compression and format conversion.
10Enacted 47Live 20Failed 77Total Jump →
T-02.3 Provenance standard compliance
Provenance signals must conform to an interoperable standard enabling third-party verification (e.g., C2PA Content Credentials), rather than a proprietary system that only the developer can verify.
6Enacted 12Live 6Failed 24Total Jump →
T-02.4 Platform provenance detection duty
Large online platforms must scan content they distribute to detect whether standards-compliant provenance data is embedded in or attached to it.
3Enacted 9Live 4Failed 16Total Jump →
T-02.5 Platform user disclosure duty
Large online platforms must provide a user-facing interface that clearly discloses when content carries provenance data indicating AI origin, including the name of the generating system and whether digital signatures are available.
4Enacted 12Live 4Failed 20Total Jump →
T-02.6 Platform preservation duty
Large online platforms must not knowingly strip standards-compliant provenance data or digital signatures from content uploaded or distributed on the platform, to the extent technically feasible.
3Enacted 18Live 5Failed 26Total Jump →
T-02.7 Detection tool availability
Developers of large-scale AI content generation systems must offer a publicly accessible tool or API that accepts content as input and returns a determination of whether the content was AI-generated by that developer's systems.
0Enacted 12Live 4Failed 16Total Jump →
T-02.8 Downstream Disclosure Preservation Procedures
Developers and licensors of generative AI content-generation systems must implement reasonable contractual and procedural measures — such as license terms requiring disclosure retention, certifications, and access-termination mechanisms — to prevent downstream users and licensees from removing, disabling, or circumventing required AI-generated-content disclosures.
0Enacted 7Live 5Failed 12Total Jump →
Bills That Map This Requirement 282 mappings
T-02.1
Visible or audible label
Publishers must attach a human-perceptible label — such as a watermark, caption, or audio tag — to AI-generated content, conspicuously identifying it as AI-generated.
Enacted
8
Live
50
Failed
33
Total
91
CA
CA AB 723 (Real Estate Digitally Altered Images) § Bus. & Prof. Code § 10140.8
Enacted eff 2026-01-01
A real estate broker or salesperson, or person acting on their behalf, who includes a digitally altered image in any advertisement or promotional material for the sale of real property must include a reasonably conspicuous disclosure statement on or adjacent to the image stating that the image has been altered. The disclosure must also include a link to a publicly accessible internet website, URL, or QR code where the original, unaltered image is clearly identified and available. The statement must include language indicating that the unaltered images can be accessed at the linked location.
CA
CA AB 723 (Real Estate Digitally Altered Images) § Bus. & Prof. Code § 10140.8
Enacted eff 2026-01-01
When an advertisement or promotional material containing a digitally altered image is posted on an internet website controlled by the real estate broker or salesperson (or person acting on their behalf), the unaltered version of each digitally altered image must also be included in the posting. Compliance may be achieved by including a link to a publicly accessible internet website that includes and clearly identifies the original, unaltered image. If the link method is used, the disclosure statement required by subdivision (a)(1) must include language indicating the unaltered images can be accessed on the linked website, URL, or QR code.
IA
Enacted eff 2026-05-15
Persons distributing synthetic media depicting a candidate or party within 90 days of an election must include a disclosure stating the content has been manipulated or generated by artificial intelligence — in easily readable text (at least as large as the largest other text) for the duration of any video, or clearly spoken at the beginning, end, and at two-minute intervals for audio-only media.
TN
TN HB 2707 (AI Content Disclosure) § Tenn. Code Ann. § 47-18-5702
Enacted eff 2024-07-01
Any person must include a clear and conspicuous disclosure identifying content as AI-generated before distributing within Tennessee (1) an image, video, or audio recording using another individual's likeness, or (2) literature or other written work attributed to someone other than the actual author — regardless of whether consent was obtained and regardless of whether the content has been modified after generation.
TN
TN SB 2431 (AI Content Disclosure) § Tenn. Code Ann. § 47-18-5702
Enacted eff 2024-07-01
Any person must include a clear and conspicuous AI-generated disclosure, appropriate for the medium, on AI-generated content that uses another individual's likeness (image, video, audio, or song) or that constitutes a written work attributed to someone other than the actual author, prior to distributing that content in Tennessee — regardless of consent and regardless of post-generation modifications.
TN
TN SB 2460 (Synthetic Media) § Tenn. Code Ann. § 47-18-1__ (new section)
Enacted eff 2024-07-01
Publishers of synthetic media may assert an affirmative defense by including a prescribed disclosure statement — This (image/video/audio) has been manipulated with the use of artificial intelligence or another digital technology and is not an accurate representation of the (individual/event) depicted — displayed in easily readable text no smaller than the largest other font in visual media (for the full duration if video), or spoken clearly at the beginning, end, and at two-minute intervals for audio-only media.
VA
Enacted eff 2026-07-01
Developers of high-risk generative AI systems must ensure that synthetic content outputs are identifiable and detectable using industry-standard tools or developer-provided tools, with identification applied at the time of generation. For artistic, creative, satirical, or fictional works, identification must not hinder display or enjoyment. Text-only outputs, public-interest informational content, content unlikely to mislead a reasonable person, and assistive editing outputs are exempt.
VA
VA SB 164 (AI Deepfake Disclosure) § Va. Code § 59.1-200(A)(79)
Enacted eff 2026-04-13
Suppliers must disclose the use of artificial intelligence technology in the creation of any videographic or still image intending to depict an actual person, or any audio or audio-visual recording intending to depict the voice of an actual person, when the supplier disseminates or sells the item.
HI
Enrolled eff 3000-07-01
Any person who publicly distributes a realistic digital imitation must include a clear and conspicuous disclosure that it is AI-generated or AI-altered — visible for images and video, audible for audio, and expressed in plain language.
HI
Enrolled eff 3000-07-01
Any person who produces or creates a commercial advertisement must conspicuously disclose in the advertisement that a synthetic performer appears in it, where the person has actual knowledge of the synthetic performer's use.
CA
Engrossed
Any person who includes a digitally altered image (including AI-altered images) in an advertisement or promotional material for the rental of real property must include a reasonably conspicuous statement disclosing that the image has been altered. The statement must be located on or adjacent to the image and must include a link, URL, or QR code to a publicly accessible website that includes and clearly identifies the original, unaltered image.
CA
Engrossed
When a digitally altered rental property advertisement is posted on an internet website over which the person has control, the person must also include the unaltered version of the images directly in the posting. The person may satisfy this requirement by including a link to a publicly accessible website that includes and clearly identifies the original, unaltered images. If compliance is via link, the disclosure statement required under subdivision (b)(1) must indicate that unaltered images can be accessed at the linked website, URL, or QR code.
CA
CA SB 1050 (Synthetic Digital Performers) § Bus. & Prof. Code § 17610
Engrossed
Any person who creates and causes to be published in an advertising medium a video or audiovisual advertisement that includes a synthetic performer must include a clear and conspicuous disclosure that the performer is synthetic. The disclosure must: (1) appear in close proximity to the synthetic performer, (2) be presented in a manner and duration sufficient for a reasonable consumer to understand that the performer is not a real human being, and (3) use wording substantially similar to 'this performance features a synthetic digital performer' or 'no human performer is depicted.' Exempt from this requirement are advertisements for expressive works (motion pictures, television programs, streaming content, documentaries, video games, or similar audiovisual works) where the synthetic performer's use in the advertisement is consistent with its use in the expressive work, and advertisements where AI is used solely for language translation of a human performer.
NY
NY SB 8451 (FAIR News Act) § Gen. Bus. Law § 1153
Engrossed
Any news media content substantially created by generative AI that is published, broadcast, or otherwise disseminated or accessible in New York must carry a conspicuous disclosure that it was substantially created by generative AI. For visual and audiovisual content, the disclosure must be imprinted at the top of the page, webpage, image, graphic, or video. For audio content, the disclosure must be verbally stated at the onset. This requirement does not apply if the content is eligible for copyright registration.
OH
Engrossed
Developers must program AI systems to provide a distinctive watermark on any AI-generated product that informs the user that the product was generated using an AI system.
OH
Engrossed
No person may remove a watermark required by this section with the purpose of concealing that the product was generated using artificial intelligence.
AL
Introduced eff 2026-10-01
Developers must include a clear and conspicuous disclosure identifying output from any generative AI system producing images, video, or audiovisual content as AI-generated content. The disclosure must include a human-perceptible label and embedded metadata identifying the content as AI-generated, the tool used, and the creation timestamp. The disclosure must, to the extent technically feasible, be permanent or unable to be easily removed. Visual-only content requires visual disclosure; audiovisual content requires both visual and audible disclosure. All disclosures must stand out by size, contrast, location, and duration; be unavoidable; use plain language; and not be contradicted by the content itself.
GA
Introduced eff 2025-07-01
Any individual disseminating AI-generated content (video, audio, or still images) to facilitate commerce or trade must include a disclosure that artificial intelligence was used to make all or part of the content.
GA
Introduced eff 2025-07-01
Any individual disseminating AI-generated visual media in commerce must ensure the disclosure is (1) written in each language used in the content and (2) clearly readable — appearing in letters at least 30% of vertical picture height, visible for at least 30% of the media's length for moving images, and rendered with adequate color contrast.
GA
Introduced eff 2025-07-01
Any individual disseminating AI-generated audible media in commerce must ensure the disclosure is announced at the same volume, speaking rate, and in each spoken language as the content itself.
LA
Introduced
Any person operating an artificial intelligence system that produces images, videos, audio, or multimedia AI-generated content must include on that content a clear and conspicuous disclosure identifying the content as generated by artificial intelligence.
MA
MA HB 81 (AI Content Disclosure) § G.L. c. 93M, § 2
Introduced
Generative AI systems used within Massachusetts must include on or within AI-generated content (1) a clear and conspicuous human-perceptible notice identifying the content as AI-generated, permanent or difficult to remove to the extent technically feasible, and (2) embedded metadata identifying the content as AI-generated, the identity of the generating system, and the date and time of creation.
MA
MA HB 81 (AI Content Disclosure) § G.L. c. 93M, § 3
Introduced
Any person within Massachusetts who uses a generative AI system to create or repurpose AI-generated content must not remove any AI-disclosure notice or metadata required by Section 2.
MD
MD HB 1399 (Consumer Reporting Algorithmic Systems) § Md. Code, Com. Law § 14-1228
Introduced eff 2026-10-01
Consumer reporting agencies must ensure that AI system outputs — including any synthetic audio, image, video, or text — are detectable as artificially generated.
MO
Introduced eff 2026-08-28
Publishers and disseminators of AI-generated or AI-modified images, video, or audio may label such content with a visible or audible mark or statement developed by the Secretary of State indicating that the content was generated or modified using artificial intelligence. Failure to label triggers civil liability under subsection (3) if a person is injured as a result.
MO
Introduced eff 2026-08-28
Publishers and disseminators who fail to place a mark or statement on AI-generated or AI-modified images, video, or audio indicating AI origin are subject to a private cause of action for damages by any person who suffers an injury as a result of the unlabeled content.
MO
Introduced eff 2027-01-01
Any person or entity creating AI-generated content for public consumption must clearly label the content as AI-generated in a prominent and conspicuous manner, identifying the AI system used and, if applicable, the developer or deployer, with format-specific labels: header/footer for text, verbal disclosure at start and every two minutes for audio exceeding 30 seconds, and visible watermark or overlay with metadata and captions for images and video.
MO
Introduced eff 2027-01-01
All labels and watermarks required under the act must be accessible to individuals with disabilities under Section 508 of the Rehabilitation Act, WCAG 2.1, or other applicable law. Exceptions apply for: (1) private non-commercial content not shared publicly, (2) AI-generated content used solely for internal business research not intended for public distribution, and (3) content using only minimal AI assistance that does not substantially alter meaning or authorship.
NJ
Introduced
News media entities that publish generative AI content must (1) prominently display a label indicating the content is generative AI, (2) credit any source used to produce the content, and (3) include a disclaimer that the content may not accurately reflect the source material.
NJ
Introduced
Sellers and sellers' agents who use generative AI or photo-editing software to add furniture or non-fixed items to dwelling photos must (1) disclose the use of AI or editing software in each advertisement, and (2) upon request, provide the original unaltered images to a buyer or buyer's agent.
NJ
Introduced
News media entities that use generative AI content must (1) prominently display a label indicating the content is generative AI, (2) credit any source used to produce the content, and (3) include a disclaimer that the content may not accurately reflect the source material.
NM
Introduced
Covered providers must offer users the option to include a manifest (human-visible) disclosure in AI-generated content that identifies the content as generated by artificial intelligence, is clear, conspicuous, appropriate for the medium, understandable to a reasonable person, and permanent or extraordinarily difficult to remove.
NY
Introduced
Any person who distributes or publishes AI-generated content depicting a historically recognized human disaster and has actual knowledge the content is materially deceptive must include a disclosure label stating This (image, video, or audio) has been manipulated — printed in legible text for visual media and spoken at the beginning, end, and at two-minute intervals for audio content. Exemptions apply for satire/parody, bona fide news reporting with authenticity disclosures, broadcast stations with consistent disclaimer requirements, and initial platform dissemination of third-party content.
NY
Introduced
Publishers must conspicuously disclose on the cover of any book published in New York that was wholly or partially created through the use of generative artificial intelligence that the book was created with the use of generative artificial intelligence. This applies to all printed and digital books regardless of target age group or audience, including those consisting of text, pictures, audio, puzzles, games, or any combination thereof.
NY
NY AB 8962 (FAIR News Act) § Gen. Bus. Law § 1153
Introduced
Any news media content published, broadcast, or otherwise disseminated or accessible in New York that was substantially composed, authored, or otherwise created using generative AI must carry a conspicuous disclosure stating the content was substantially created by generative AI. For written or visual content, the disclosure must be imprinted at the top of the page, webpage, image, graphic, or video. For audio content, the disclosure must be verbally stated at the onset. This disclosure requirement does not apply if the content is eligible for copyright registration.
NY
NY AB 9091 (Search Engine AI Disclosure) § Gen. Bus. Law § 399-ss(2)
Introduced
Search engines must, when displaying information generated by artificial intelligence, inform the user that the information was AI-generated by providing two simultaneous disclosures: (1) a plain-language label in the same font size as the AI-generated information, placed directly above it, and (2) a watermark across the AI-generated information in the same font size and in clear, plain language.
NY
NY SB 1815 (AI Book Disclosure) § Gen. Bus. Law § 338
Introduced
Publishers of any book published in New York that was wholly or partially created through the use of generative artificial intelligence must conspicuously disclose on the cover of the book that it was created with the use of generative artificial intelligence. This applies to all printed and digital books regardless of target age group or audience, including books consisting of text, pictures, audio, puzzles, games, or any combination thereof.
NY
Introduced
Any party serving a paper or filing in a civil action that was drafted with the assistance of generative artificial intelligence must attach a separate affidavit disclosing such use and certifying that a human being has reviewed the source material and verified that the AI-generated content is accurate.
NY
Introduced
An appellant's brief must include, as a required component, a disclosure of any use of generative artificial intelligence in its drafting and a certification that the content was reviewed and verified by a human, where Rule 2107 applies.
NY
NY SB 6748 (AI Publication Disclosure) § Gen. Bus. Law § 338(2)
Introduced
Publishers of newspapers, magazines, or other publications printed or electronically published in New York must conspicuously imprint at the top of the page or webpage a disclosure that any article, periodical, photograph, video, or other visual image was composed through the use of artificial intelligence or other information communication technology, whenever the content was wholly or partially composed or authored using generative AI.
NY
Introduced
Any party serving a paper or file drafted with the assistance of generative artificial intelligence must attach a separate affidavit disclosing such use and certifying that a human reviewed the source material and verified the AI-generated content is accurate.
NY
NY SB 9794 (AI Court Filing Disclosure) § CPLR Rule 5528(a)(6)
Introduced
Appellants whose briefs were drafted with the assistance of generative artificial intelligence must include in the brief a disclosure of AI use and a certification that the content was reviewed and verified by a human.
OH
OH HB 813 (AI Watermark & Disclosure) § Ohio Rev. Code § 1349.13
Introduced
Developers must program AI systems to produce a distinctive watermark on any AI-generated product that informs the user the content was generated using an artificial intelligence system.
OH
OH HB 813 (AI Watermark & Disclosure) § Ohio Rev. Code § 1349.13
Introduced
No person, business, or organization may distribute for public or commercial use any AI-generated product that does not include a distinctive watermark indicating the content was generated using an artificial intelligence system. This obligation does not apply to AI-generated products created at a user's prompting solely for personal, noncommercial use.
PA
Introduced
Covered providers must offer each user the option to include a clear, conspicuous, medium-appropriate manifest disclosure identifying the content as AI-generated that is permanent or not reasonably removable to the extent technically feasible.
PA
Introduced
Digital platforms must attach a clear, conspicuous, medium-appropriate disclosure to any AI-simulation content identifying it as AI-generated and conveying (directly or via link) the simulation's name and version, the creation timestamp, and a unique identifier, consistent with industry standards and permanent or not reasonably removable to the extent technically feasible.
PA
PA HB 317 (AI Watermark Requirement) § 18 Pa.C.S. § 7682
Introduced
Any individual who creates or distributes an AI-generated image, text, simulation, or video must place a watermark on 30% of the content at minimum 50% opacity, containing the statement Artificial Intelligence Generated Material.
RI
RI HB 7543 (AI-Generated Image Labeling) § R.I. Gen. Laws § 6-47-2.1
Introduced
Any person or entity that uploads, creates, distributes, or originates AI-generated video, image, or photography on a public platform viewable in Rhode Island must include a visible marking disclosing that the content was generated by AI. Violations committed for profit or trade constitute deceptive trade practices subject to civil penalties under § 6-13.1-8.
RI
RI SB 627 (Artificial Intelligence Act) § R.I. Gen. Laws § 6-61-7
Introduced eff 2025-10-01
Developers of AI systems that generate or manipulate synthetic digital content must ensure outputs are marked and detectable as synthetic before consumers first interact with or are exposed to them, in a consumer-detectable and accessibility-compliant manner, using technical solutions that are effective, interoperable, robust, and reliable consistent with recognized technical standards. Exemptions apply for text-only content, public-interest informational content, content unlikely to mislead a reasonable person, assistive editing, and compliance-detection tools.
TN
TN HB 2340 (Synthetic Media) § Tenn. Code Ann. § 47-18-1__ (new section)
Introduced eff 2024-07-01
Publishers of synthetic media must include a conspicuous disclosure stating that the content has been manipulated with AI or digital technology and is not an accurate representation of the depicted individual or event. For visual media, the disclosure must appear in text no smaller than the largest font in the media and, for video, for the full duration. For audio-only media, the disclosure must be clearly spoken at the beginning, end, and at intervals of no more than two minutes.
US
Introduced
Federal officials must include a clear, conspicuous, plain-language disclaimer on any publicly released content created or manipulated using generative AI, stating that the content is AI-generated, explaining how it was generated or altered, and identifying the technology or method used. Exceptions apply for non-public communications, classified content (if an unclassified summary is retained), minor graphic adjustments, routine text drafts reviewed by agency staff before publication, and personal non-government social media posts.
US
Introduced
Providers of generative AI systems that produce covered AI-generated content must label that content with a clear, conspicuous, embedded, and (where feasible) accessibility-conscious disclosure identifying it as AI-generated.
VA
VA HB 1294 (Law Enforcement AI Disclosure) § Va. Code § 19.2-11.14(D)
Introduced
Any official police report or law-enforcement record created in whole or in part using generative AI must: (1) include a disclaimer that the report or record contains content generated by artificial intelligence; (2) where technically feasible, identify the specific content that was generated by AI; and (3) include a certification by the author that the author has read and reviewed the report or record for accuracy.
VA
VA HB 2554 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Developers must ensure that any generative AI system producing audio, image, or video content includes (1) a clear and conspicuous human-perceptible disclosure identifying the content as AI-generated and (2) embedded metadata identifying the content as AI-generated, the generating tool, and the creation date/time. Disclosures must be, to the extent technically feasible, permanent or not easily removable.
VA
VA HB 2554 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Developers must ensure that any generative AI system producing text content, including through an AI chatbot, includes a clear and conspicuous disclosure identifying the content as AI-generated that is, to the extent technically feasible, permanent or not easily removable.
VA
VA SB 1161 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Developers must ensure that generative AI systems producing audio, image, or video content include on each output (1) a clear and conspicuous human-perceptible label identifying the content as AI-generated and (2) embedded metadata identifying the content as AI-generated, the tool used, and the creation date and time. Disclosures must be permanent or unable to be easily removed.
VA
VA SB 1161 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Developers must ensure that generative AI systems producing text content — including through AI chatbots — include a clear and conspicuous disclosure identifying the content as AI-generated, which must be permanent or unable to be easily removed to the extent technically feasible.
WV
Introduced
Covered entities must ensure that any AI-generated media they create, distribute, publish, or transmit includes a clear and conspicuous human-perceptible disclosure — a watermark, text label, audio statement, or on-screen identifier — indicating the media was created or materially altered using AI. Visual media must include a watermark or text label; audio media must include a spoken or transcript statement at the beginning; video media must include an on-screen disclosure of at least 3 seconds at the start and a persistent watermark throughout playback.
CT
Failed
Developers of AI systems that generate or manipulate synthetic digital content must ensure outputs are marked and detectable as synthetic by the time consumers first encounter them, using consumer-perceptible, accessibility-compliant, interoperable, robust, and reliable technical solutions consistent with recognized standards. Text-only content, public-interest content, content unlikely to mislead, evidently artistic works, assistive editing, and law-enforcement uses are exempt or subject to limited disclosure.
FL
Failed
The Division of Emergency Management must include a conspicuous indicator with an encoded link on all digital images and videos it creates on or after July 1, 2025, allowing users to access provenance data.
IA
IA HF 2549 (Election AI & Deepfakes) § Iowa Code § 68A.405(6)
Failed
Any person who publishes political advocacy material containing a materially deceptive depiction of a candidate must include on the material the disclosure this material has been manipulated to include a materially deceptive depiction of a candidate.
IL
Failed
Creators of AI-generated images or videos that mimic or replicate another person's voice or likeness in a manner that would deceive an average viewer must, when displaying the content for public viewing, place a disclosure at the bottom of the image or video stating that the content is not authentic and does not reflect the original voice or likeness of the depicted person — unless that person consents to the use.
IL
Failed
Any person who publishes or causes to be published a commercial advertisement that the person knows or should know contains synthetic media must disclose in the advertisement that it contains synthetic media.
IL
Failed
Any person who publishes a commercial advertisement using synthetic media that depicts a person engaged in an action or expression the person did not actually perform must include a clear and conspicuous disclaimer stating the likeness is synthetic, does not depict an actual person, and is generated to create a human likeness.
IL
IL HB 5321 (AI Content Labeling) § 815 ILCS 505/2EEEE(b)
Failed
Developers and deployers of generative AI systems producing image, video, audio, or multimedia content must (1) include a clear and conspicuous human-perceptible disclosure identifying the content as AI-generated, appropriate to its medium, (2) embed metadata identifying the content as AI-generated, the tool used, and the creation date and time, and (3) make the disclosure permanent or tamper-resistant to the extent technically feasible.
IL
IL HB 5321 (AI Content Labeling) § 815 ILCS 505/2EEEE(c)
Failed
Developers and deployers of AI systems that produce text AI-generated content — including through chatbots — must include a clear and conspicuous disclosure identifying the content as AI-generated that is, to the extent technically feasible, permanent or not easily removable.
LA
Failed
Any person who distributes or makes publicly available synthetic media purporting to be of or by a natural person must either (1) obtain the depicted person's consent, or (2) constantly display an obvious notice within the media identifying it as synthetic media. Failure to do so, combined with knowledge, intent, and intent to mislead about the depicted person's acts, constitutes unlawful distribution.
MA
Failed
Companies must program their large-scale generative AI model to generate all text with a distinctive watermark, or offer an authentication process allowing users to determine whether a particular output was generated by the model.
MD
MD SB 978 (Synthetic Media in Elections) § Md. Code, Elec. Law § 13–401.2(C)
Failed
Persons who publish, distribute, or disseminate synthetic media before an election must (1) publish the original unaltered content on their website and (2) include the format-specific disclosure statement required under subsection (D).
MO
Failed
Creators who distribute synthetic media within 18 weeks of an election must include a human-perceptible disclosure stating 'This [image/video/audio] has been manipulated or generated by artificial intelligence,' displayed at the largest font size in the visual media for its full duration, or clearly spoken at the beginning, end, and at intervals not exceeding two minutes for audio-only media.
MT
Failed eff 2025-05-23
Any publicly distributed online media generated in whole or in part by AI must contain (1) identifiable markers that alert users to the use of AI, and (2) embedded markers that allow identification of AI use even if the original identifiable markers are deleted.
NY
NY AB 6758 (Synthetic Media in Advertising) § Gen. Bus. Law § 396-b(3)
Failed
Any person engaged in the business of dealing in property or services must disclose in any advertisement if synthetic media is used in that advertisement.
NY
NY AB 6758 (Synthetic Media in Advertising) § Gen. Bus. Law § 396-b(3)
Failed
When synthetic media is used in an advertisement to create a model that appears to depict a natural person, the advertisement must include a disclaimer clearly stating that the models are synthetic, do not depict a natural person, and are generated to create a human likeness.
NY
NY AB 8098 (AI Book Disclosure) § Gen. Bus. Law § 338
Failed
Any book published in New York that was wholly or partially created using generative AI must conspicuously disclose on the cover that the book was created with the use of generative artificial intelligence. This applies to all printed and digital books regardless of target age group or audience, including books consisting of text, pictures, audio, puzzles, games, or any combination thereof.
NY
NY SB 7847 (AI Publication Labeling) § Gen. Bus. Law § 338(2)
Failed
Publishers of newspapers, magazines, or other publications printed or electronically published in New York must conspicuously imprint at the top of any page or webpage a disclosure that an article, periodical, photograph, video, or other visual image was composed wholly or partially through generative AI or other information communication technology.
NY
NY SB 7922 (AI Book Disclosure) § GBL § 338(1)–(2)
Failed
Publishers of any book published in New York that was wholly or partially created using generative artificial intelligence must conspicuously disclose on the cover of the book that the book was created with the use of generative artificial intelligence.
NY
Failed
Any party serving a paper or file in a civil action that was drafted with the assistance of generative AI must attach a separate affidavit disclosing such use and certifying that a human reviewed the source material and verified the AI-generated content is accurate.
NY
Failed
Appellants who used generative AI in drafting their brief must include in the brief a disclosure of such AI use and a certification that the content was reviewed and verified by a human.
OK
Failed
Entities must disclose to Oklahoma citizens when images or text they are consuming were generated entirely by AI and not reviewed by a real person, where a reasonable person would believe the content is real and authentic.
PA
Failed
Any individual who creates or distributes an AI-generated image, text, simulation, or video must place a visible watermark covering 30% of the content, at minimum 50% opacity, containing the statement 'Artificial Intelligence Generated Material.'
RI
RI HB 6286 (Generative AI Models) § R.I. Gen. Laws § 6-59-3
Failed
Companies must program the model to generate all text with a distinctive watermark or offer an authentication process that allows users to determine whether a particular output was generated by the model.
US
Failed
Generative AI systems must include on every output the verbatim disclaimer: Disclaimer: this output has been generated by artificial intelligence.
US
Failed
Developers must ensure that each generative AI system producing image, video, audio, or multimedia content includes (1) a clear and conspicuous human-perceptible notice identifying the content as AI-generated, appropriate for the medium, and (2) embedded metadata identifying the content as AI-generated, the tool used to create it, and the date and time of creation. The disclosure must, to the extent technically feasible, be permanent or unable to be easily removed.
US
Failed
Developers must ensure that each AI system producing text AI-generated content (including chatbot output) includes a clear and conspicuous disclosure identifying the content as AI-generated, which must be, to the extent technically feasible, permanent or unable to be easily removed.
US
Failed
Generative AI systems that produce image, video, audio, or multimedia content must include (1) a clear and conspicuous human-perceptible disclosure identifying the content as AI-generated, and (2) embedded metadata identifying the content as AI-generated, the identity of the tool used, and the creation date and time. Disclosures must, to the extent technically feasible, be permanent or unable to be easily removed.
US
Failed
AI systems that produce text AI-generated content, including through AI chatbots, must include a clear and conspicuous disclosure identifying the content as AI-generated. The disclosure must, to the extent technically feasible, be permanent or unable to be easily removed.
US
Failed
AI-generating entities must include a watermark meeting FTC-established standards on all covered AI-generated material — including content that impersonates individuals, is represented as original artwork, songs, or news media, or meets additional FTC-defined criteria.
UT
UT SB 180 (Law Enforcement AI Usage) § Utah Code § 53-25-602
Failed
Law enforcement agencies must include a disclaimer in any written police report or law enforcement record created wholly or partially with generative AI, stating that the report or record contains AI-generated content.
UT
UT SB 205 (Law Enforcement AI) § Utah Code § 53-25-902
Failed eff 2026-05-06
Law enforcement agencies must ensure that any written police report or law enforcement record created wholly or partially using generative AI or AI technology contains (1) a disclaimer identifying AI-generated content and (2) a certification by the author that they have read and reviewed the report for accuracy.
WV
Failed
To qualify for the safe harbor from the distribution prohibition, a person distributing synthetic media must include a clear and conspicuous disclaimer stating that the media has been manipulated by technical means and depicts speech or conduct that did not occur. The disclaimer must meet format requirements: (1) in visual communications, font size at least as large as the largest other text; (2) in audio communications, spoken at matching pitch, speed, language, and volume at the beginning, end, and at one-minute intervals for communications over two minutes; (3) metadata must include the disclaimer, the identity of the creation tool, the identity of the creator, and the date and time of creation; and (4) the disclaimer must be, to the extent technically feasible, permanent and not easily removable.
WY
Failed
Persons who disseminate synthetic media must label it with a clear and conspicuous disclosure identifying the content as synthetic media — visual notice for visual media, or spoken disclosure at the beginning, end, and every two minutes for audio-only media — or face civil and criminal liability when dissemination is done with intent to mislead.
T-02.2
Embedded provenance metadata
AI-generated content must carry embedded machine-readable provenance signals at the point of generation, enabling downstream detection even if visible labels are removed. Signals must be durable and survive common transformations such as compression and format conversion.
Enacted
10
Live
47
Failed
20
Total
77
CA
CA AB 853 (AI Transparency Act) § Bus. & Prof. Code § 22757.3.2
Enacted eff 2026-08-02
GenAI hosting platforms must not knowingly make available a GenAI system that does not embed the latent provenance disclosures required by Section 22757.3.
CA
CA AB 853 (AI Transparency Act) § Bus. & Prof. Code § 22757.3.3
Enacted eff 2026-08-02
Capture device manufacturers must, for any device first produced for sale in California on or after January 1, 2028, (1) embed latent provenance disclosures by default in captured content identifying the manufacturer name, device name and version, and creation or alteration timestamp, and (2) provide users with the option to include such disclosures. Compliance is required only to the extent technically feasible and compliant with widely adopted standards-body specifications.
CA
CA SB 942 (AI Transparency Act) § § 22757.3.2(a)
Enacted eff 2026-08-02
Platforms that host GenAI systems for download (source code or model weights) must not knowingly make available any GenAI system that fails to include the latent provenance disclosures required by § 22757.3 (the existing covered-provider disclosure obligations). This effectively extends enforcement upstream: hosting platforms become gatekeepers that must verify their hosted GenAI systems embed proper provenance data before distribution. The 'knowingly' standard provides a scienter requirement — hosting platforms are not strictly liable for every non-compliant system but must not distribute them with actual knowledge of non-compliance.
CA
CA SB 942 (AI Transparency Act) § § 22757.3.3(a)-(b)
Enacted eff 2026-08-02
Beginning January 1, 2028, manufacturers of cameras, phones, voice recorders, and similar capture devices must — for any device first produced for sale in California on or after that date — (1) give users the option to embed latent (machine-readable, not human-visible) provenance disclosures in captured content, conveying the manufacturer name, device name and version, and creation/alteration timestamp; and (2) enable this disclosure feature by default. Both obligations are subject to two safety valves: technical feasibility and compliance with widely adopted standards-body specifications. Assembly-only firms are excluded from the manufacturer definition. This is a notable extension of AI provenance law into hardware, aimed at creating an authenticity baseline for non-AI-generated content.
CT
Enacted eff 2026-07-01
Covered providers must, to the extent commercially and technically reasonable, embed provenance data in AI-generated or materially altered audio, image, or video content enabling consumers to assess AI origin, and must use commercially reasonable tamper-resistant methods — including C2PA standards — to protect provenance data from removal or disassociation. Exemptions apply for B2B use, video games, upscaling-only systems, and trade secrets.
UT
UT HB 276 (AI Content Provenance & NCII) § Utah Code § 13-72c-202
Enacted eff 2027-01-01
Capture device manufacturers must embed latent provenance disclosures in captured content identifying the manufacturer or providing digital signatures proving capture-device origin, plus creation/alteration timestamps, to the extent technically feasible and compliant with established standards-body specifications. Applies to devices produced for sale in Utah on or after January 1, 2028.
UT
UT HB 276 (AI Content Provenance & NCII) § Utah Code § 13-72c-203
Enacted eff 2027-01-01
Covered providers must embed a latent, standards-compliant provenance disclosure in AI-generated or substantially AI-modified image, video, or audio content, conveying the creation/alteration timestamp and either the provider's name or digital signatures proving generative AI origin.
VA
Enacted eff 2026-07-01
Developers of high-risk generative AI systems must ensure that synthetic content outputs are identifiable and detectable using industry-standard tools or developer-provided tools, with identification applied at the time of generation. For artistic, creative, satirical, or fictional works, identification must not hinder display or enjoyment. Text-only outputs, public-interest informational content, content unlikely to mislead a reasonable person, and assistive editing outputs are exempt.
WA
Enacted eff 2027-02-01
Covered providers must, to the extent commercially and technically reasonable, embed provenance data in any video, image, or audio content (or any combination thereof) that is created or materially altered by the covered provider's generative AI system. The provenance data must allow a user to assess whether the content was created or materially altered by that system. Materially altered means a significant change that substantially alters the data; minor modifications such as brightness, contrast, color, sharpening, saturation, filters, resizing, scaling, cropping, format conversions, resampling, denoising, and background noise removal are excluded. Provenance data may not be required to include information relating to an identified or reasonably identifiable individual.
WA
Enacted eff 2027-02-01
Covered providers must use commercially and technically reasonable methods to make provenance data difficult to remove or tamper with. Use of a commonly supported technical standard for watermarking or metadata, such as the Coalition for Content Provenance and Authenticity (C2PA) specification, is deemed compliant with this requirement.
CA
CA SB 1000 (AI Transparency Act Amendments) § Bus. & Prof. Code § 22757.3
Engrossed
Covered providers must embed a latent disclosure in all AI-generated image, video, or audio content created by their GenAI system that conveys (to the extent technically feasible) the provider's name, GenAI system name and version, creation or alteration timestamp, a unique identifier, and whether the content was generated or modified by AI. The disclosure must be permanent or extraordinarily difficult to remove, detectable by the provider's own tool, and compliant or interoperable with widely accepted industry standards.
CA
CA SB 1000 (AI Transparency Act Amendments) § Bus. & Prof. Code § 22757.3
Engrossed
Covered providers that license their GenAI system to a third party must contractually require the licensee to ensure the system includes provenance data meeting the latent disclosure criteria of § 22757.3(a), to the extent technically feasible.
CA
CA SB 1000 (AI Transparency Act Amendments) § Bus. & Prof. Code § 22757.3
Engrossed
Covered providers must revoke a third-party licensee's license within 48 hours of discovering that the licensee modified the licensed GenAI system so that it can no longer include the required latent disclosure in generated content.
CA
CA SB 1000 (AI Transparency Act Amendments) § Bus. & Prof. Code § 22757.3
Engrossed
Third-party licensees must cease using a licensed GenAI system after the covered provider revokes the license for failure to maintain required latent disclosures.
NY
NY SB 6954 (Stop Deepfakes Act) § Gen. Bus. Law § 1511
Engrossed
Synthetic content creations system providers must embed provenance data — conforming to C2PA Content Credentials or equivalent standards, cryptographically bound to the file — in all synthetic content their systems produce or modify. The provenance data must at minimum identify the content as synthetic, state that AI was used, name the provider, include a timestamp, identify AI-generated portions, and identify the generating device, system, or service.
NY
NY SB 6954 (Stop Deepfakes Act) § Gen. Bus. Law § 1513
Engrossed
State agencies must ensure, to the extent practicable, that all audio, images, and videos they publish or distribute electronically carry provenance data identifying — at minimum — the generating device/system/service, any AI-generated portions, whether AI was used, the AI provider name if applicable, and a timestamp.
AL
Introduced eff 2026-10-01
Developers must include a clear and conspicuous disclosure identifying output from any generative AI system producing images, video, or audiovisual content as AI-generated content. The disclosure must include a human-perceptible label and embedded metadata identifying the content as AI-generated, the tool used, and the creation timestamp. The disclosure must, to the extent technically feasible, be permanent or unable to be easily removed. Visual-only content requires visual disclosure; audiovisual content requires both visual and audible disclosure. All disclosures must stand out by size, contrast, location, and duration; be unavoidable; use plain language; and not be contradicted by the content itself.
IL
Introduced
Generative AI tool providers must apply standards-compliant provenance data — either directly or via third-party technology — to all wholly-generated synthetic content their tool produces.
IL
Introduced
Generative AI tool providers must make available a provenance application tool that lets users apply provenance data to content significantly modified to include synthetic content.
IL
Introduced
Capture device manufacturers (cameras, phones with cameras, microphones, voice recorders) must include functionality allowing users to enable the inclusion of provenance data in their captured content.
IL
Introduced eff 2027-01-01
Covered AI tool providers must embed a machine-readable provenance label in every image, video, or audio content instance created by their AI. The provenance label must: (1) be readable by the provider's provenance label reading tool; (2) be, to the extent technically feasible, permanent or extraordinarily difficult to remove; and (3) convey, to the extent technically feasible, the following system provenance data — either directly or via a link to a permanent website: (A) the name of the covered AI tool provider, (B) the name and version number of the AI that created or altered the content, (C) the time and date of the content's creation or alteration, and (D) a unique identifier of the content.
IL
Introduced eff 2027-01-01
Capture device manufacturers must, for any capture device first produced for sale in Illinois on or after January 1, 2027, and to the extent technically feasible and compliant with widely adopted standards-body specifications: (1) provide users with the option to include a provenance label conveying system provenance data — manufacturer name, device name and version, and creation timestamp; (2) embed the provenance label in captured content by default; (3) clearly inform users of provenance label settings upon first use of a recording function; (4) provide a clear and accessible opt-out mechanism in device settings; and (5) ensure these provenance capabilities are available for the default capture application and for third-party applications that use the device's capture functionalities.
IL
Introduced eff 2027-01-01
Covered AI tool providers that license their AI to third parties must require by contract that the licensee maintain the system's capability to include provenance labels. If the provider obtains actual knowledge that a third-party licensee has modified the AI to remove its provenance labeling capability, the provider must revoke the licensee's license within 96 hours.
IL
Introduced eff 2027-01-01
A third-party licensee whose license to use AI has been revoked under this Act must immediately cease using the AI.
IL
Introduced eff 2027-01-01
Operators of websites or applications that make AI source code or model weights available for download must not knowingly make available AI that does not include provenance labels in generated content as required by Section 10(f).
MA
MA HB 81 (AI Content Disclosure) § G.L. c. 93M, § 2
Introduced
Generative AI systems used within Massachusetts must include on or within AI-generated content (1) a clear and conspicuous human-perceptible notice identifying the content as AI-generated, permanent or difficult to remove to the extent technically feasible, and (2) embedded metadata identifying the content as AI-generated, the identity of the generating system, and the date and time of creation.
MA
MA HB 81 (AI Content Disclosure) § G.L. c. 93M, § 3
Introduced
Any person within Massachusetts who uses a generative AI system to create or repurpose AI-generated content must not remove any AI-disclosure notice or metadata required by Section 2.
MA
MA HB 90 (AI Content Provenance) § G.L. c. 93, § 115
Introduced
GenAI Providers must embed standards-compliant Provenance Data in all wholly AI-generated Synthetic Content produced by their GenAI Tools, either directly or through third-party technology.
MA
MA HB 90 (AI Content Provenance) § G.L. c. 93, § 115
Introduced
GenAI Providers must make available a Provenance Application Tool that enables users to apply standards-compliant Provenance Data to content that has been modified to include Synthetic Content.
MA
MA HB 90 (AI Content Provenance) § G.L. c. 93, § 115
Introduced
Capture Device manufacturers must (1) include in the device's default capture app the ability for users to enable inclusion of Provenance Data in captured content and (2) ensure secure hardware-based provenance capture is available to third-party applications.
MO
Introduced
Persons responsible for AI-generated political communications must embed in the communication's metadata the disclosure statement, the identity of the generative AI tool used, and the date and time the communication was created.
MO
Introduced
Persons responsible for AI-generated political communications must ensure that the disclosure statement — including the metadata disclosure — is, to the extent technically feasible, permanent or unable to be easily removed by subsequent users.
NM
Introduced
Covered providers must embed a latent (machine-readable) disclosure by default in all synthetic content that conveys the provider name, system name and version, creation/alteration timestamp, and a unique content identifier; is detectable by a provenance detection tool; complies with provenance standards accepted by an established standards-setting body; and is permanent or extraordinarily difficult to remove.
NM
Introduced
Covered providers must contractually require third-party licensees of their generative AI system to continue complying with the disclosure requirements of Section 3, and must revoke the license within 96 hours of discovering material noncompliance.
NM
Introduced
Capture device manufacturers must, for devices first produced for sale in the state on or after January 1, 2028, embed a latent provenance disclosure by default identifying the manufacturer, device model and version, and date and time of capture, and must provide users the option to opt out. Compliance must be aligned with established standards-body standards to the extent technically feasible.
NY
NY AB 8523 (Election Content Accountability Act) § Election Law § 14-106(8)(b)–(c)
Introduced
Campaigns for the offices of Governor, Lieutenant Governor, Attorney General, or Comptroller must, beginning with the 2030 election cycle, embed C2PA-standard provenance data in all political communications that include images or videos, disclosing: the type of device or system used to generate the content, any synthetic content portions, whether AI was used to create or edit the content, the name of the generative AI provider (if any), and the timestamp of provenance data application.
PA
Introduced
Covered providers must embed a latent (machine-readable) provenance disclosure in AI-generated image, video, and audio content conveying the provider name, system name and version, creation timestamp, and a unique identifier; the signal must be detectable by the provider's detection tool, consistent with widely accepted industry standards, and permanent or difficult to remove.
PA
Introduced
Covered providers must contractually require licensees of their generative AI system to preserve the latent-disclosure capability, revoke a license within four calendar days of learning a licensee disabled it, and licensees must stop using the system after revocation.
PA
Introduced
GenAI system hosting platforms must not knowingly make available for download any generative AI system that fails to place the manifest and latent disclosures required by Section 4.
PA
Introduced
Digital platforms must attach a clear, conspicuous, medium-appropriate disclosure to any AI-simulation content identifying it as AI-generated and conveying (directly or via link) the simulation's name and version, the creation timestamp, and a unique identifier, consistent with industry standards and permanent or not reasonably removable to the extent technically feasible.
PA
Introduced
Covered AI tool providers must embed a permanent or extraordinarily-difficult-to-remove, machine-readable provenance label in every AI-generated image, video, and audio instance, conveying the provider name, system name and version, creation timestamp, and the type and degree of AI augmentation.
PA
Introduced
Capture-device manufacturers must, for devices produced for sale in Pennsylvania, embed provenance labels by default (conveying manufacturer name, device name and version, and creation timestamp), offer a user opt-out, inform users of provenance settings on first use, and display a clear indicator when a label is applied.
PA
Introduced
Covered AI tool providers licensing their generative system to a third party must contractually require the licensee to maintain the system's provenance-labeling capability.
PA
Introduced
Covered AI tool providers must, within 96 hours of obtaining actual knowledge that a licensee has modified the system to remove its provenance-label capability, revoke that licensee's license; the licensee may not use the system after revocation.
RI
RI SB 627 (Artificial Intelligence Act) § R.I. Gen. Laws § 6-61-7
Introduced eff 2025-10-01
Developers of AI systems that generate or manipulate synthetic digital content must ensure outputs are marked and detectable as synthetic before consumers first interact with or are exposed to them, in a consumer-detectable and accessibility-compliant manner, using technical solutions that are effective, interoperable, robust, and reliable consistent with recognized technical standards. Exemptions apply for text-only content, public-interest informational content, content unlikely to mislead a reasonable person, assistive editing, and compliance-detection tools.
US
Introduced
Providers of generative AI applications must ensure that audio or visual content created or substantially modified by their application incorporates a machine-readable disclosure acknowledging the generative AI origin of such content, and must establish and implement reasonable measures to prevent the disclosure from being removed or tampered with. Compliance with FTC-approved self-regulatory guidelines satisfies this requirement.
US
Introduced
Providers of generative AI applications must make available to users the ability to incorporate, within the metadata of AI-generated or AI-modified content, tamper-evident provenance information including the application name, AI model name and version, creation/modification date and time, and the portion of content created or modified.
US
Introduced
Persons who commercially offer tools primarily used to create synthetic content or synthetically-modified content must (1) provide users the ability to include content provenance information indicating AI origin, and (2) when a user opts to include such information, implement reasonable security measures to ensure it is machine-readable and not easily removed, altered, or separated from the content.
US
Introduced
Persons who commercially offer tools primarily used to create or substantially modify covered content (copyrighted works) must (1) provide users the ability to include content provenance information for any covered content created or modified by the tool, and (2) when a user opts to include such information, implement reasonable security measures to ensure it is machine-readable and not easily removed, altered, or separated from the content.
US
Introduced
Providers must bind or embed a machine-readable provenance disclosure in covered AI-generated content identifying the content, the system and version used, the creation or modification timestamp, and conforming to interoperable standards set by the FTC and Working Group, without including the user's personally identifiable information.
VA
Introduced eff 2026-07-01
Developers must embed standards-compliant provenance data in all synthetic digital content wholly generated by their generative AI system or service, either directly or through third-party technologies.
VA
VA HB 2554 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Developers must ensure that any generative AI system producing audio, image, or video content includes (1) a clear and conspicuous human-perceptible disclosure identifying the content as AI-generated and (2) embedded metadata identifying the content as AI-generated, the generating tool, and the creation date/time. Disclosures must be, to the extent technically feasible, permanent or not easily removable.
VA
VA SB 1161 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Developers must ensure that generative AI systems producing audio, image, or video content include on each output (1) a clear and conspicuous human-perceptible label identifying the content as AI-generated and (2) embedded metadata identifying the content as AI-generated, the tool used, and the creation date and time. Disclosures must be permanent or unable to be easily removed.
VA
Introduced eff 2026-07-01
Developers must embed standards-compliant provenance data — identifying whether content is synthetic and which developer's system generated it — into all synthetic digital content wholly generated by their generative AI system or service, either directly or through third-party technologies.
VA
Introduced eff 2026-07-01
Capture device manufacturers must include a provenance application tool that is made known and available to the user, enabled by default, and usable to apply provenance data to digital content captured with the device.
WA
Introduced eff 2027-01-01
Developers of high-risk generative AI systems that generate or substantially modify synthetic content must ensure that outputs are (1) identifiable and detectable by consumers using industry-standard tools or tools provided by the developer, (2) compliant with applicable accessibility requirements to the extent reasonably feasible, and (3) identified at the time the output is generated. For audio, image, or video content that is part of an evidently artistic, creative, satirical, fictional, or analogous work, identification must be applied in a manner that does not hinder display or enjoyment. Exemptions apply to text-only content published in the public interest or unlikely to mislead a reasonable person, and to outputs of systems performing assistive standard editing, not substantially altering input data, or used for authorized crime detection/prosecution.
WA
Introduced eff 2027-01-01
Developers of high-risk generative AI systems that generate or substantially modify synthetic content must ensure that outputs are: (1) identifiable and detectable using industry-standard tools or tools provided by the developer; (2) compliant with applicable accessibility requirements, to the extent reasonably feasible; and (3) identified at the time of generation. For audio, image, or video content that is part of an evidently artistic, creative, satirical, fictional, or analogous work, identification must not hinder display or enjoyment. The identification requirement does not apply to: (i) synthetic content consisting exclusively of text, content published to inform the public on a matter of public interest, or content unlikely to mislead a reasonable person; or (ii) outputs of a system performing an assistive editing function, not substantially altering input data, or used for law enforcement purposes.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.1
Failed
Generative AI system providers must embed imperceptible and maximally indelible watermarks containing provenance data into all AI-generated content. At minimum, even if content is manipulated, cropped, or degraded, the watermark must identify the content as synthetic and name the provider. Legacy systems without watermarking may continue operating only if the provider creates a publicly available decoder with at least 99% accuracy (validated by an independent auditor) or demonstrates the system cannot produce realistic inauthentic content.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.1
Failed
Generative AI system providers that distribute modifiable AI systems must ensure the watermarking functionality cannot be removed. Providers must not distribute or make available any generative AI system whose watermarking functionality can be removed by others.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.2
Failed
Camera and recording device manufacturers must, for devices newly manufactured and sold or distributed in California beginning January 1, 2026, offer users the option to place an authenticity watermark (on by default) and a provenance watermark (off by default) in captured content. Watermarks must be compatible with widely used industry standards including C2PA content credentials. Devices must clearly inform users of watermark settings on first use, display a clear indicator when a watermark is being applied, allow adjustment of settings, and ensure watermarks persist in content captured through third-party applications.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.2
Failed
Camera and recording device manufacturers must, beginning January 1, 2026, offer a software or firmware update enabling authenticity and provenance watermarks for devices purchased in California before that date, provided the device is capable of receiving such an update.
CT
Failed
Developers of AI systems that generate or manipulate synthetic digital content must ensure outputs are marked and detectable as synthetic by the time consumers first encounter them, using consumer-perceptible, accessibility-compliant, interoperable, robust, and reliable technical solutions consistent with recognized standards. Text-only content, public-interest content, content unlikely to mislead, evidently artistic works, assistive editing, and law-enforcement uses are exempt or subject to limited disclosure.
FL
FL SB 702 (Provenance of Digital Content) § Fla. Stat. § 106.145(4)
Failed
Any person who publishes AI-generated content purporting to feature an electoral candidate online must include digital provenance data identifying whether the content was derived through generative AI, the name of the generative AI tool used, and the organization that developed it.
FL
Failed
The Division of Emergency Management must include a conspicuous indicator with an encoded link on all digital images and videos it creates on or after July 1, 2025, allowing users to access provenance data.
FL
FL SB 702 (Provenance of Digital Content) § Fla. Stat. § 501.9741(2)
Failed
Providers of generative AI tools must embed provenance data — either directly or through third-party technology — in all synthetic content wholly generated by the provider's tool, identifying whether the content was derived through generative AI, the tool used, and the developing organization.
FL
FL SB 702 (Provenance of Digital Content) § Fla. Stat. § 501.9741(6)
Failed
Manufacturers of capture devices sold in Florida must (1) include an option to record provenance data of any suspected synthetic content and (2) ensure that such provenance data can be read by third-party applications.
IL
IL HB 5321 (AI Content Labeling) § 815 ILCS 505/2EEEE(b)
Failed
Developers and deployers of generative AI systems producing image, video, audio, or multimedia content must (1) include a clear and conspicuous human-perceptible disclosure identifying the content as AI-generated, appropriate to its medium, (2) embed metadata identifying the content as AI-generated, the tool used, and the creation date and time, and (3) make the disclosure permanent or tamper-resistant to the extent technically feasible.
MT
Failed eff 2025-05-23
Any publicly distributed online media generated in whole or in part by AI must contain (1) identifiable markers that alert users to the use of AI, and (2) embedded markers that allow identification of AI use even if the original identifiable markers are deleted.
NC
Failed
Creators and sponsors who publish online digital audio or visual political communications accessible in North Carolina must embed tamper-evident digital content provenance conforming to an open industry standard that discloses the initial author, any subsequent editors, and any use of generative AI in generating or modifying the content.
NY
NY AB 6540 (Stop Deepfakes Act) § Gen. Bus. Law § 1511
Failed
Generative AI providers must embed C2PA-compliant provenance data in all synthetic audio, images, and video produced or modified by their systems, including at minimum: (1) an AI-creation disclosure, (2) the provider's name, (3) a timestamp, (4) identification of synthetic portions, (5) the device or system used, and (6) any additional fields specified by Attorney General regulation.
US
Failed
Developers must ensure that each generative AI system producing image, video, audio, or multimedia content includes (1) a clear and conspicuous human-perceptible notice identifying the content as AI-generated, appropriate for the medium, and (2) embedded metadata identifying the content as AI-generated, the tool used to create it, and the date and time of creation. The disclosure must, to the extent technically feasible, be permanent or unable to be easily removed.
US
Failed
Providers of generative AI applications must ensure that all audio or visual content created or substantially modified by the application incorporates a machine-readable disclosure acknowledging its generative AI origin.
US
Failed
Providers of generative AI applications must establish and implement reasonable measures to prevent embedded AI-origin disclosures from being removed or tampered with.
US
Failed
Providers of generative AI applications must make available to users the ability to embed tamper-evident metadata within AI-generated or modified content, including the application name, model name and version, creation/modification timestamp, and the portion of content that was AI-generated or modified.
US
Failed
Generative AI systems that produce image, video, audio, or multimedia content must include (1) a clear and conspicuous human-perceptible disclosure identifying the content as AI-generated, and (2) embedded metadata identifying the content as AI-generated, the identity of the tool used, and the creation date and time. Disclosures must, to the extent technically feasible, be permanent or unable to be easily removed.
VT
Failed
Developers must provide search engine operators and social media platform operators with the technical capability reasonably required for those operators to perform their synthetic content labeling duties under § 1005.
WV
Failed
To qualify for the safe harbor from the distribution prohibition, a person distributing synthetic media must include a clear and conspicuous disclaimer stating that the media has been manipulated by technical means and depicts speech or conduct that did not occur. The disclaimer must meet format requirements: (1) in visual communications, font size at least as large as the largest other text; (2) in audio communications, spoken at matching pitch, speed, language, and volume at the beginning, end, and at one-minute intervals for communications over two minutes; (3) metadata must include the disclaimer, the identity of the creation tool, the identity of the creator, and the date and time of creation; and (4) the disclaimer must be, to the extent technically feasible, permanent and not easily removable.
T-02.3
Provenance standard compliance
Provenance signals must conform to an interoperable standard enabling third-party verification (e.g., C2PA Content Credentials), rather than a proprietary system that only the developer can verify.
Enacted
6
Live
12
Failed
6
Total
24
CA
CA AB 853 (AI Transparency Act) § Bus. & Prof. Code § 22757.3.3
Enacted eff 2026-08-02
Capture device manufacturers must, for any device first produced for sale in California on or after January 1, 2028, (1) embed latent provenance disclosures by default in captured content identifying the manufacturer name, device name and version, and creation or alteration timestamp, and (2) provide users with the option to include such disclosures. Compliance is required only to the extent technically feasible and compliant with widely adopted standards-body specifications.
CA
CA SB 942 (AI Transparency Act) § § 22757.3.2(a)
Enacted eff 2026-08-02
Platforms that host GenAI systems for download (source code or model weights) must not knowingly make available any GenAI system that fails to include the latent provenance disclosures required by § 22757.3 (the existing covered-provider disclosure obligations). This effectively extends enforcement upstream: hosting platforms become gatekeepers that must verify their hosted GenAI systems embed proper provenance data before distribution. The 'knowingly' standard provides a scienter requirement — hosting platforms are not strictly liable for every non-compliant system but must not distribute them with actual knowledge of non-compliance.
CA
CA SB 942 (AI Transparency Act) § § 22757.3.3(a)-(b)
Enacted eff 2026-08-02
Beginning January 1, 2028, manufacturers of cameras, phones, voice recorders, and similar capture devices must — for any device first produced for sale in California on or after that date — (1) give users the option to embed latent (machine-readable, not human-visible) provenance disclosures in captured content, conveying the manufacturer name, device name and version, and creation/alteration timestamp; and (2) enable this disclosure feature by default. Both obligations are subject to two safety valves: technical feasibility and compliance with widely adopted standards-body specifications. Assembly-only firms are excluded from the manufacturer definition. This is a notable extension of AI provenance law into hardware, aimed at creating an authenticity baseline for non-AI-generated content.
CT
Enacted eff 2026-07-01
Covered providers must, to the extent commercially and technically reasonable, embed provenance data in AI-generated or materially altered audio, image, or video content enabling consumers to assess AI origin, and must use commercially reasonable tamper-resistant methods — including C2PA standards — to protect provenance data from removal or disassociation. Exemptions apply for B2B use, video games, upscaling-only systems, and trade secrets.
UT
UT HB 276 (AI Content Provenance & NCII) § Utah Code § 13-72c-202
Enacted eff 2027-01-01
Capture device manufacturers must embed latent provenance disclosures in captured content identifying the manufacturer or providing digital signatures proving capture-device origin, plus creation/alteration timestamps, to the extent technically feasible and compliant with established standards-body specifications. Applies to devices produced for sale in Utah on or after January 1, 2028.
UT
UT HB 276 (AI Content Provenance & NCII) § Utah Code § 13-72c-203
Enacted eff 2027-01-01
Covered providers must embed a latent, standards-compliant provenance disclosure in AI-generated or substantially AI-modified image, video, or audio content, conveying the creation/alteration timestamp and either the provider's name or digital signatures proving generative AI origin.
CA
CA SB 1000 (AI Transparency Act Amendments) § Bus. & Prof. Code § 22757.3
Engrossed
Covered providers must embed a latent disclosure in all AI-generated image, video, or audio content created by their GenAI system that conveys (to the extent technically feasible) the provider's name, GenAI system name and version, creation or alteration timestamp, a unique identifier, and whether the content was generated or modified by AI. The disclosure must be permanent or extraordinarily difficult to remove, detectable by the provider's own tool, and compliant or interoperable with widely accepted industry standards.
MA
MA HB 90 (AI Content Provenance) § G.L. c. 93, § 115
Introduced
GenAI Providers must embed standards-compliant Provenance Data in all wholly AI-generated Synthetic Content produced by their GenAI Tools, either directly or through third-party technology.
NM
Introduced
Covered providers must embed a latent (machine-readable) disclosure by default in all synthetic content that conveys the provider name, system name and version, creation/alteration timestamp, and a unique content identifier; is detectable by a provenance detection tool; complies with provenance standards accepted by an established standards-setting body; and is permanent or extraordinarily difficult to remove.
NM
Introduced
Capture device manufacturers must, for devices first produced for sale in the state on or after January 1, 2028, embed a latent provenance disclosure by default identifying the manufacturer, device model and version, and date and time of capture, and must provide users the option to opt out. Compliance must be aligned with established standards-body standards to the extent technically feasible.
PA
Introduced
Covered providers must embed a latent (machine-readable) provenance disclosure in AI-generated image, video, and audio content conveying the provider name, system name and version, creation timestamp, and a unique identifier; the signal must be detectable by the provider's detection tool, consistent with widely accepted industry standards, and permanent or difficult to remove.
PA
Introduced
Digital platforms must attach a clear, conspicuous, medium-appropriate disclosure to any AI-simulation content identifying it as AI-generated and conveying (directly or via link) the simulation's name and version, the creation timestamp, and a unique identifier, consistent with industry standards and permanent or not reasonably removable to the extent technically feasible.
RI
RI SB 627 (Artificial Intelligence Act) § R.I. Gen. Laws § 6-61-7
Introduced eff 2025-10-01
Developers of AI systems that generate or manipulate synthetic digital content must ensure outputs are marked and detectable as synthetic before consumers first interact with or are exposed to them, in a consumer-detectable and accessibility-compliant manner, using technical solutions that are effective, interoperable, robust, and reliable consistent with recognized technical standards. Exemptions apply for text-only content, public-interest informational content, content unlikely to mislead a reasonable person, assistive editing, and compliance-detection tools.
US
Introduced
Providers of generative AI applications must collaborate with providers of covered online platforms to assist those platforms in identifying and accessing the embedded provenance disclosures.
US
Introduced
NIST (Under Secretary) must establish a public-private partnership to develop voluntary, consensus-based standards for content provenance information, watermarking, and synthetic content detection across images, audio, video, text, and multimodal content, in consultation with the Register of Copyrights and the USPTO Director.
US
Introduced
Providers must bind or embed a machine-readable provenance disclosure in covered AI-generated content identifying the content, the system and version used, the creation or modification timestamp, and conforming to interoperable standards set by the FTC and Working Group, without including the user's personally identifiable information.
VA
Introduced eff 2026-07-01
Developers must embed standards-compliant provenance data in all synthetic digital content wholly generated by their generative AI system or service, either directly or through third-party technologies.
VA
Introduced eff 2026-07-01
Developers must embed standards-compliant provenance data — identifying whether content is synthetic and which developer's system generated it — into all synthetic digital content wholly generated by their generative AI system or service, either directly or through third-party technologies.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.1
Failed
Generative AI system providers must provide downloadable software tools or online services that determine whether content was created by the provider's system, available to all large online platforms and the public. Tools must support both manual individual use and automated bulk analysis. Tools must be interoperable to the greatest extent possible with decoders from other providers and must adhere to relevant national or international standards.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.2
Failed
Camera and recording device manufacturers must, for devices newly manufactured and sold or distributed in California beginning January 1, 2026, offer users the option to place an authenticity watermark (on by default) and a provenance watermark (off by default) in captured content. Watermarks must be compatible with widely used industry standards including C2PA content credentials. Devices must clearly inform users of watermark settings on first use, display a clear indicator when a watermark is being applied, allow adjustment of settings, and ensure watermarks persist in content captured through third-party applications.
CT
Failed
Developers of AI systems that generate or manipulate synthetic digital content must ensure outputs are marked and detectable as synthetic by the time consumers first encounter them, using consumer-perceptible, accessibility-compliant, interoperable, robust, and reliable technical solutions consistent with recognized standards. Text-only content, public-interest content, content unlikely to mislead, evidently artistic works, assistive editing, and law-enforcement uses are exempt or subject to limited disclosure.
FL
FL SB 702 (Provenance of Digital Content) § Fla. Stat. § 501.9741(6)
Failed
Manufacturers of capture devices sold in Florida must (1) include an option to record provenance data of any suspected synthetic content and (2) ensure that such provenance data can be read by third-party applications.
US
Failed
NIST must establish task forces within 90 days of enactment to develop technical standards and guidelines for content provenance metadata, watermarking, and digital fingerprinting for AI-generated audio, visual, and text-based content, and must submit recommendations to the NIST Director within 270 days and annual reports to Congress for five years thereafter.
US
Failed
Providers of generative AI applications must collaborate with providers of covered online platforms to assist them in identifying and accessing the embedded AI-origin disclosures.
T-02.4
Platform provenance detection duty
Large online platforms must scan content they distribute to detect whether standards-compliant provenance data is embedded in or attached to it.
Enacted
3
Live
9
Failed
4
Total
16
CA
CA AB 853 (AI Transparency Act) § Bus. & Prof. Code § 22757.3.1
Enacted eff 2026-08-02
Large online platforms must detect whether any standards-compliant provenance data is embedded into or attached to content distributed on the platform.
CA
CA SB 942 (AI Transparency Act) § § 22757.3.1(a)(1)-(2)
Enacted eff 2026-08-02
Large online platforms (social media, file-sharing, mass messaging platforms, and stand-alone search engines with 2M+ unique monthly users) must scan content distributed on their platform to detect any provenance data that conforms to widely adopted standards-body specifications. Where system provenance data is found indicating AI generation, substantial AI alteration, or capture-device origin, the platform must provide a user interface that clearly and conspicuously discloses: whether provenance data exists, the name of the GenAI system or capture device that created or altered the content, and whether digital signatures are available. This is a detect-and-display obligation — the platform need only surface provenance signals that are already embedded in content using recognized standards.
UT
UT HB 276 (AI Content Provenance & NCII) § Utah Code § 13-72c-201
Enacted eff 2027-01-01
Large online platforms must (1) detect whether compliant system provenance data is embedded in or attached to content distributed on the platform, (2) provide a user interface disclosing the availability of system provenance data, and (3) allow users to inspect all available compliant system provenance data through the platform interface, download, or a link.
IL
Introduced eff 2027-01-01
Large online platforms must, to the extent technically feasible: (1) detect whether any provenance label compliant with widely adopted standards-body specifications is embedded in or attached to content distributed on the platform; (2) provide a clear and conspicuous mechanism disclosing to users that provenance data is available for detected content; and (3) allow users to inspect all available system provenance data in an easily accessible manner — either directly through the platform's user interface or by enabling the user to download the content with its attached system provenance data.
MA
MA HB 90 (AI Content Provenance) § G.L. c. 93, § 115
Introduced
Large Online Platforms must (1) retain any available Provenance Data in content provided to or posted on the platform and (2) make available to content consumers either the Provenance Data itself, a conspicuous indicator that Provenance Data is available, or both.
NM
Introduced
Large online platforms must (1) detect system provenance data in disseminated content, (2) append the platform name and posting date to system provenance data, (3) provide a user interface disclosing the available system provenance data, and (4) allow users to inspect, download, or otherwise access system provenance data.
PA
Introduced
Large online platforms must detect standards-compliant provenance data in distributed content and provide a user interface that conspicuously discloses whether provenance is available, the name of the generating AI system, and whether digital signatures exist, and that lets users inspect or download the provenance data.
PA
Introduced
Large online platforms must detect machine-readable provenance labels in content they distribute and provide a conspicuous user-facing mechanism that discloses whether a provenance label is available and lets users inspect it.
RI
RI HB 7954 (Digital Platform Transparency) § R.I. Gen. Laws § 6-63-4
Introduced
Covered platforms must implement and maintain commercially reasonable policies and technical measures designed to detect synthetic media that materially depicts real individuals, statements, or events.
US
Introduced
Covered online platforms must (1) conspicuously identify displayed content carrying a machine-readable AI disclosure, (2) not tamper with or strip such disclosures, including on transfer, (3) offer users a provenance-sharing option, (4) make a good-faith effort to combat the liar's dividend using FTC-recommended strategies, and (5) keep the information accessible where feasible.
VA
Introduced eff 2026-07-01
Controllers of online services, products, or features must (1) retain any available provenance data in digital content provided to their platform and (2) make available to users either the provenance data, a conspicuous indicator of whether provenance data is available, or both.
WV
Introduced
Platforms hosting or distributing AI-generated media must (1) maintain functionality to preserve disclosures and watermarks, (2) prohibit removal or obfuscation of disclosures without explicit lawful justification, and (3) implement automated detection systems, when feasible, to identify unlabeled AI-generated content and prompt disclosure.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.3
Failed
Large online platforms must use labels to prominently disclose provenance data found in watermarks or digital signatures in content distributed on their platforms, using C2PA content credentials and provider-supplied decoders. Labels must indicate whether content is fully synthetic, partially synthetic, authentic, authentic with minor modifications, or lacks a watermark. Users must be able to click or tap on a label to inspect all available provenance data. Disclosures must be readily legible or clearly audible; audio and video disclosures must occur at the beginning and end of the content at comparable volume and speaking cadence.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.3
Failed
Large online platforms must use state-of-the-art techniques to detect and label synthetic content that has had watermarks removed or was produced by AI systems without watermarking functionality.
FL
FL SB 702 (Provenance of Digital Content) § Fla. Stat. § 501.9741(5)
Failed
Social media platforms must (1) retain all available provenance data of any suspected synthetic content posted on or provided to the platform and (2) make that provenance data available to platform users through a conspicuous indicator with an encoded link on the content.
US
Failed
Providers of covered online platforms must clearly and conspicuously display to users the AI-origin disclosure information embedded in audio or visual content accessed through the platform.
T-02.5
Platform user disclosure duty
Large online platforms must provide a user-facing interface that clearly discloses when content carries provenance data indicating AI origin, including the name of the generating system and whether digital signatures are available.
Enacted
4
Live
12
Failed
4
Total
20
CA
CA AB 853 (AI Transparency Act) § Bus. & Prof. Code § 22757.3.1
Enacted eff 2026-08-02
Large online platforms must provide a user interface that clearly and conspicuously discloses when content carries system provenance data indicating AI generation or device capture, including whether provenance data is available, the name of the generating GenAI system or capture device, and whether digital signatures are available. Platforms must also allow users to inspect all available standards-compliant system provenance data through the platform UI, downloadable content, or a link to a third-party display.
CA
CA SB 942 (AI Transparency Act) § § 22757.3.1(a)(1)-(2)
Enacted eff 2026-08-02
Large online platforms (social media, file-sharing, mass messaging platforms, and stand-alone search engines with 2M+ unique monthly users) must scan content distributed on their platform to detect any provenance data that conforms to widely adopted standards-body specifications. Where system provenance data is found indicating AI generation, substantial AI alteration, or capture-device origin, the platform must provide a user interface that clearly and conspicuously discloses: whether provenance data exists, the name of the GenAI system or capture device that created or altered the content, and whether digital signatures are available. This is a detect-and-display obligation — the platform need only surface provenance signals that are already embedded in content using recognized standards.
CA
CA SB 942 (AI Transparency Act) § § 22757.3.1(a)(3)
Enacted eff 2026-08-02
Beyond detecting and disclosing provenance data, large online platforms must allow users to inspect the full system provenance data in an easily accessible way. The platform may satisfy this through any of three methods: (1) inline display through its own UI, (2) enabling the user to download the content with provenance data attached, or (3) providing a link to the provenance data on a website or app (the platform's own or a third party's). Platforms have flexibility in which method to use but must offer at least one.
UT
UT HB 276 (AI Content Provenance & NCII) § Utah Code § 13-72c-201
Enacted eff 2027-01-01
Large online platforms must (1) detect whether compliant system provenance data is embedded in or attached to content distributed on the platform, (2) provide a user interface disclosing the availability of system provenance data, and (3) allow users to inspect all available compliant system provenance data through the platform interface, download, or a link.
IL
Introduced
Large online platforms (≥1,000,000 monthly users) must (1) retain any provenance data in content posted on or provided to the platform, and (2) make either the provenance data or a conspicuous indicator that provenance data is available accessible to Illinois consumers.
IL
Introduced eff 2027-01-01
Large online platforms must, to the extent technically feasible: (1) detect whether any provenance label compliant with widely adopted standards-body specifications is embedded in or attached to content distributed on the platform; (2) provide a clear and conspicuous mechanism disclosing to users that provenance data is available for detected content; and (3) allow users to inspect all available system provenance data in an easily accessible manner — either directly through the platform's user interface or by enabling the user to download the content with its attached system provenance data.
MA
MA HB 90 (AI Content Provenance) § G.L. c. 93, § 115
Introduced
Large Online Platforms must (1) retain any available Provenance Data in content provided to or posted on the platform and (2) make available to content consumers either the Provenance Data itself, a conspicuous indicator that Provenance Data is available, or both.
NM
Introduced
Large online platforms must (1) detect system provenance data in disseminated content, (2) append the platform name and posting date to system provenance data, (3) provide a user interface disclosing the available system provenance data, and (4) allow users to inspect, download, or otherwise access system provenance data.
NY
Introduced
Online platform operators must provide or allow users to use labeling tools sufficient to label materially deceptive media as required by § 1711, and must not lock or otherwise impede the use of those labeling tools.
PA
Introduced
Large online platforms must detect standards-compliant provenance data in distributed content and provide a user interface that conspicuously discloses whether provenance is available, the name of the generating AI system, and whether digital signatures exist, and that lets users inspect or download the provenance data.
PA
Introduced
Large online platforms must detect machine-readable provenance labels in content they distribute and provide a conspicuous user-facing mechanism that discloses whether a provenance label is available and lets users inspect it.
RI
RI HB 7954 (Digital Platform Transparency) § R.I. Gen. Laws § 6-63-4
Introduced
Covered platforms must clearly and conspicuously disclose that content has been generated or materially altered using artificial intelligence upon actual knowledge or reasonable detection of synthetic media.
US
Introduced
Providers of covered online platforms must clearly and conspicuously disclose to users, for any audio or visual content that incorporates an AI-origin provenance disclosure, the information included in that disclosure.
US
Introduced
Covered online platforms must (1) conspicuously identify displayed content carrying a machine-readable AI disclosure, (2) not tamper with or strip such disclosures, including on transfer, (3) offer users a provenance-sharing option, (4) make a good-faith effort to combat the liar's dividend using FTC-recommended strategies, and (5) keep the information accessible where feasible.
VA
Introduced eff 2026-07-01
Controllers of online services, products, or features must (1) retain any available provenance data in digital content provided to their platform and (2) make available to users either the provenance data, a conspicuous indicator of whether provenance data is available, or both.
VA
Introduced eff 2026-07-01
Controllers of online services must (1) retain any available provenance data in digital content provided to the service and not strip it, and (2) make available to users either the provenance data, a conspicuous indicator of whether provenance data is available, or both.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.3
Failed
Large online platforms must use labels to prominently disclose provenance data found in watermarks or digital signatures in content distributed on their platforms, using C2PA content credentials and provider-supplied decoders. Labels must indicate whether content is fully synthetic, partially synthetic, authentic, authentic with minor modifications, or lacks a watermark. Users must be able to click or tap on a label to inspect all available provenance data. Disclosures must be readily legible or clearly audible; audio and video disclosures must occur at the beginning and end of the content at comparable volume and speaking cadence.
FL
FL SB 702 (Provenance of Digital Content) § Fla. Stat. § 501.9741(5)
Failed
Social media platforms must (1) retain all available provenance data of any suspected synthetic content posted on or provided to the platform and (2) make that provenance data available to platform users through a conspicuous indicator with an encoded link on the content.
US
Failed
Providers of covered online platforms must clearly and conspicuously display to users the AI-origin disclosure information embedded in audio or visual content accessed through the platform.
VT
Failed
Search engine operators and social media platform operators must provide consumers a persistent signal indicating that digital content was, or is reasonably believed to have been, produced by generative AI whenever the operator knows or reasonably believes the content is synthetic digital content.
T-02.6
Platform preservation duty
Large online platforms must not knowingly strip standards-compliant provenance data or digital signatures from content uploaded or distributed on the platform, to the extent technically feasible.
Enacted
3
Live
18
Failed
5
Total
26
CA
CA AB 853 (AI Transparency Act) § Bus. & Prof. Code § 22757.3.1
Enacted eff 2026-08-02
Large online platforms must not knowingly strip standards-compliant system provenance data or digital signatures from content uploaded or distributed on the platform, to the extent technically feasible.
CA
CA SB 942 (AI Transparency Act) § § 22757.3.1(b)
Enacted eff 2026-08-02
Large online platforms must not knowingly strip standards-compliant system provenance data or digital signatures from content that is uploaded to or distributed on the platform, to the extent this is technically feasible. This is a preservation duty — the platform need not add provenance data, but it must not remove what is already there. The 'knowingly' and 'technically feasible' qualifiers provide a safe harbor for incidental or unavoidable data loss during normal processing, but deliberate removal of recognized provenance signals is prohibited.
UT
UT HB 276 (AI Content Provenance & NCII) § Utah Code § 13-72c-201
Enacted eff 2027-01-01
Large online platforms must not, to the extent technically feasible, knowingly strip standards-compliant system provenance data or digital signatures from content uploaded or distributed on the platform.
CA
CA SB 1050 (Synthetic Digital Performers) § Bus. & Prof. Code § 17610
Engrossed
An advertising medium must not transmit, distribute, display, air, or otherwise make available an advertisement containing a synthetic performer after both of the following conditions are met: (1) a court of competent jurisdiction has issued an order finding that the advertisement violates this chapter or enjoining the creator from publishing the advertisement, and (2) the advertising medium has been served with the order and information reasonably sufficient to identify the advertisement. Upon receipt of such an order, the advertising medium must, as soon as commercially reasonable and technically feasible, remove or disable access to the advertisement in California and cease accepting payment for its further dissemination.
NY
NY SB 6954 (Stop Deepfakes Act) § Gen. Bus. Law § 1511
Engrossed
Synthetic content creations system hosting platforms must not make available any system whose provider does not apply compliant provenance data, and must not deliberately prevent a provider from applying provenance data to content created or substantially modified by a synthetic content creations system.
NY
NY SB 6954 (Stop Deepfakes Act) § Gen. Bus. Law § 1512
Engrossed
Social media platforms must not delete, disassociate, or degrade provenance data from or associated with content uploaded by covered users, unless the content is permanently removed from the platform or removal of the provenance data is required by law.
IL
Introduced
Large online platforms (≥1,000,000 monthly users) must (1) retain any provenance data in content posted on or provided to the platform, and (2) make either the provenance data or a conspicuous indicator that provenance data is available accessible to Illinois consumers.
IL
Introduced eff 2027-01-01
Large online platforms must not, to the extent technically feasible, knowingly strip any provenance label or system provenance data compliant with widely adopted standards-body specifications from content uploaded to or distributed on the platform.
MA
MA HB 90 (AI Content Provenance) § G.L. c. 93, § 115
Introduced
Large Online Platforms must (1) retain any available Provenance Data in content provided to or posted on the platform and (2) make available to content consumers either the Provenance Data itself, a conspicuous indicator that Provenance Data is available, or both.
NM
Introduced
Large online platforms must not strip system provenance data or digital signatures that comply with standards set by an established standards-setting body.
NY
Introduced
Online platform operators must not strip AI provenance metadata from any content posted to their platform.
PA
Introduced
Large online platforms must not knowingly strip standards-compliant system provenance data or digital signatures from content uploaded or distributed on the platform.
PA
Introduced
Large online platforms must not strip provenance labels from content uploaded or distributed on the platform and must not retain personal provenance data from shared content.
US
Introduced
Providers of covered online platforms must not remove any embedded provenance disclosure or incorporated metadata from audio or visual content distributed on the platform.
US
Introduced
No person may knowingly remove, alter, tamper with, or disable content provenance information in furtherance of an unfair or deceptive act or practice in or affecting commerce.
US
Introduced
Covered platforms must not remove, alter, tamper with, or disable content provenance information, or separate it from content so that users cannot access it. A narrow exception applies for security research that is necessary, proportionate, and limited to enhancing the platform's security.
US
Introduced
Covered online platforms must (1) conspicuously identify displayed content carrying a machine-readable AI disclosure, (2) not tamper with or strip such disclosures, including on transfer, (3) offer users a provenance-sharing option, (4) make a good-faith effort to combat the liar's dividend using FTC-recommended strategies, and (5) keep the information accessible where feasible.
US
Introduced
No person may knowingly falsify AI provenance disclosures, knowingly distribute for financial benefit AI content stripped of required disclosures or non-AI content bearing false disclosures, or manufacture, import, or offer tools primarily designed or marketed to circumvent, remove, tamper with, or falsely add such disclosures.
VA
Introduced eff 2026-07-01
Controllers of online services, products, or features must (1) retain any available provenance data in digital content provided to their platform and (2) make available to users either the provenance data, a conspicuous indicator of whether provenance data is available, or both.
VA
Introduced eff 2026-07-01
Controllers of online services must (1) retain any available provenance data in digital content provided to the service and not strip it, and (2) make available to users either the provenance data, a conspicuous indicator of whether provenance data is available, or both.
WV
Introduced
Platforms hosting or distributing AI-generated media must (1) maintain functionality to preserve disclosures and watermarks, (2) prohibit removal or obfuscation of disclosures without explicit lawful justification, and (3) implement automated detection systems, when feasible, to identify unlabeled AI-generated content and prompt disclosure.
FL
FL SB 702 (Provenance of Digital Content) § Fla. Stat. § 501.9741(5)
Failed
Social media platforms must (1) retain all available provenance data of any suspected synthetic content posted on or provided to the platform and (2) make that provenance data available to platform users through a conspicuous indicator with an encoded link on the content.
NY
NY AB 6540 (Stop Deepfakes Act) § Gen. Bus. Law § 1511
Failed
Generative AI hosting platforms must not make available a GenAI system where the platform knows the provider does not apply provenance data consistent with this article, and must not deliberately prevent a provider from applying provenance data to synthetic content.
NY
NY AB 6540 (Stop Deepfakes Act) § Gen. Bus. Law § 1512
Failed
Social media platforms must not delete, disassociate, or degrade provenance data from or associated with user-uploaded content, except when the content itself is permanently removed or deletion is required by law.
OK
Failed
Websites, social media platforms, search engines, and similar services must not remove a watermark or content credential from creative content without inserting an updated watermark or content credential indicating the original was removed or altered.
US
Failed
Providers of covered online platforms must not remove AI-origin disclosures or incorporated provenance metadata from audio or visual content accessed through the platform.
T-02.7
Detection tool availability
Developers of large-scale AI content generation systems must offer a publicly accessible tool or API that accepts content as input and returns a determination of whether the content was AI-generated by that developer's systems.
Enacted
0
Live
12
Failed
4
Total
16
CA
CA SB 1000 (AI Transparency Act Amendments) § Bus. & Prof. Code § 22757.2
Engrossed
Covered providers must make available, at no cost, a publicly accessible disclosure verification tool that allows users to assess whether image, video, or audio content was created or altered by the provider's GenAI system, outputs detected system provenance data, suppresses personal information absent express user consent, supports content upload and URL submission, and offers an API for programmatic access.
CA
CA SB 1000 (AI Transparency Act Amendments) § Bus. & Prof. Code § 22757.2
Engrossed
Covered providers must collect user feedback on the efficacy of their disclosure verification tool and incorporate relevant feedback into efforts to improve the tool.
IL
Introduced
Generative AI tool providers must make a provenance reader publicly available that allows any user to view provenance data and verify its integrity.
IL
Introduced eff 2027-01-01
Covered AI tool providers must offer a free, publicly accessible provenance label reading tool that allows any person to upload content or submit a URL and determine whether the content was created or altered by the provider's AI. The tool must be accessible via a conspicuous link on the provider's website and mobile application, and must also support programmatic access through an API. The tool must include a feedback mechanism for users to submit efficacy feedback, and the provider must consider and use that feedback to improve the tool.
MA
MA HB 90 (AI Content Provenance) § G.L. c. 93, § 115
Introduced
GenAI Providers must make a Provenance Reader publicly available that allows any person to view Provenance Data and verify its integrity.
NM
Introduced
Covered providers must make available at no cost a publicly accessible provenance detection tool that allows users to read embedded provenance data, reveals only system provenance data (not personal provenance data), supports uploads, URLs, and API integration, and complies with established standards-body standards.
NM
Introduced
Covered providers must not retain content or personal provenance data submitted to the provenance detection tool longer than reasonably necessary to perform the detection function.
PA
Introduced
Covered providers must offer, free of charge, a publicly accessible AI-detection tool (with an API) that accepts uploaded content or a URL, returns whether the content was created or altered by the provider's generative AI system, outputs detected system provenance data, and must collect and incorporate user feedback to improve the tool.
PA
Introduced
Covered AI tool providers must offer a free, publicly accessible provenance-label reading tool — linked conspicuously on their website and mobile app, accepting content by upload or URL, and supporting programmatic API submission — that lets anyone determine whether content was created or altered by the provider's generative AI system.
US
Introduced
Providers must ensure users and covered platforms can detect that content is AI-generated and view the provenance data without undue financial burden, either by making it detectable by widely available tools or, if none exist, by providing a detection tool and clear instructions.
VA
Introduced eff 2026-07-01
Developers must make publicly available (1) a provenance application tool enabling users to apply provenance data to content modified to include synthetic digital content, and (2) a provenance reader enabling users to view provenance data for synthetic digital content.
VA
Introduced eff 2026-07-01
Developers must make publicly available (1) a provenance application tool enabling users to apply provenance data to synthetic digital content, and (2) a provenance reader enabling users to view provenance data of synthetic digital content.
CA
CA AB 3211 (Digital Content Provenance Standards) § Bus. & Prof. Code § 22949.90.1
Failed
Generative AI system providers must provide downloadable software tools or online services that determine whether content was created by the provider's system, available to all large online platforms and the public. Tools must support both manual individual use and automated bulk analysis. Tools must be interoperable to the greatest extent possible with decoders from other providers and must adhere to relevant national or international standards.
FL
FL SB 702 (Provenance of Digital Content) § Fla. Stat. § 501.9741(3)
Failed
Providers of generative AI tools must make publicly available (1) an application tool that can determine whether image, video, or audio content is synthetic content and (2) a free provenance reader that can view provenance information for synthetic content.
MA
Failed
Companies must program their large-scale generative AI model to generate all text with a distinctive watermark, or offer an authentication process allowing users to determine whether a particular output was generated by the model.
RI
RI HB 6286 (Generative AI Models) § R.I. Gen. Laws § 6-59-3
Failed
Companies must program the model to generate all text with a distinctive watermark or offer an authentication process that allows users to determine whether a particular output was generated by the model.
T-02.8
Downstream Disclosure Preservation Procedures
Developers and licensors of generative AI content-generation systems must implement reasonable contractual and procedural measures — such as license terms requiring disclosure retention, certifications, and access-termination mechanisms — to prevent downstream users and licensees from removing, disabling, or circumventing required AI-generated-content disclosures.
Enacted
0
Live
7
Failed
5
Total
12
AL
Introduced eff 2026-10-01
Developers must implement reasonable downstream protection procedures to prevent use of the generative AI system without the required disclosures, including: (1) contractual provisions requiring end users and third-party licensees to refrain from removing disclosures; (2) certifications from end users and third-party licensees that they will not remove disclosures; and (3) termination of access when the developer has reason to believe a disclosure has been removed.
AL
Introduced eff 2026-10-01
Third-party licensees must implement reasonable downstream protection procedures to prevent use of the generative AI system without the required disclosures, including: (1) contractual provisions requiring end users to refrain from removing disclosures; (2) certifications from end users that they will not remove disclosures; and (3) termination of access when there is reason to believe an end user has removed a required disclosure.
US
Introduced
Providers must collaborate with covered online platforms to help them meet their disclosure-preservation obligations for content created or substantially modified by the provider's system.
VA
VA HB 2554 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Developers must implement reasonable procedures to prevent downstream use of AI-generated content without required disclosures, including (1) contractually requiring end users and third-party licensees to refrain from removing disclosures, (2) requiring certification of non-removal, and (3) terminating access when the developer has reason to believe a disclosure has been removed.
VA
VA HB 2554 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Third-party licensees must implement reasonable procedures to prevent downstream end-user use of the generative AI system without required disclosures, including (1) contractually requiring end users to refrain from removing disclosures, (2) requiring certification of non-removal, and (3) terminating access when there is reason to believe a disclosure has been removed.
VA
VA SB 1161 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Developers must implement reasonable procedures to prevent downstream use of the generative AI system without required disclosures, including (1) contractually requiring end users and third-party licensees to refrain from removing disclosures, (2) requiring certification of non-removal, and (3) terminating access when the developer has reason to believe a disclosure has been removed.
VA
VA SB 1161 (AI Transparency Act) § Va. Code § 59.1-608
Introduced
Third-party licensees must implement reasonable procedures to prevent downstream use of the generative AI system without required disclosures, including (1) contractually requiring end users to refrain from removing disclosures, (2) requiring certification of non-removal, and (3) terminating access when the developer has reason to believe a disclosure has been removed.
IL
IL HB 5321 (AI Content Labeling) § 815 ILCS 505/2EEEE(d)
Failed
Developers of generative AI systems and third-party licensees of those systems must implement reasonable procedures to prevent downstream use of the system without the required AI-generated content disclosures.
US
Failed
Developers must implement reasonable procedures to prevent downstream use of their generative AI system without required disclosures, including (1) contractually requiring end users and third-party licensees to refrain from removing disclosures, (2) requiring certification that they will not remove disclosures, and (3) terminating access when the developer has reason to believe a disclosure has been removed.
US
Failed
Third-party licensees must implement reasonable procedures to prevent downstream use of the generative AI system without required disclosures, including (1) contractually requiring end users to refrain from removing disclosures, (2) requiring certification that they will not remove disclosures, and (3) terminating access when the licensee has reason to believe an end user has removed a disclosure.
US
Failed
Developers of generative AI systems must implement reasonable procedures to prevent downstream use without required disclosures, including (1) contractually requiring end users and third-party licensees not to remove disclosures, (2) requiring certification of non-removal, and (3) terminating access upon reason to believe a disclosure has been removed.
US
Failed
Third-party licensees of generative AI systems must implement reasonable procedures to prevent downstream use without required disclosures, including (1) contractually requiring users not to remove disclosures, (2) requiring certification of non-removal, and (3) terminating access upon reason to believe a user has removed the required disclosure.