New York · Senate Bill · 2023–2024 Regular Session
SB8390
New York Senate Bill 8390 — An Act to amend the criminal procedure law and the civil practice law and rules, in relation to the admissibility of evidence created or processed by artificial intelligence

Status ● Failed Effective N/A Passage Likelihood N/A

How Is This Bill Enforced

Enforcement Authority
No private right of action or designated agency enforcer. The bill establishes evidentiary admissibility rules applied by courts in criminal and civil proceedings. Enforcement is judicial — courts apply these rules when parties seek to introduce AI-created or AI-processed evidence.
Private Right of Action
No private right of action. Enforcement is exclusive to the designated authority.
Penalties
The bill creates no damages framework. It establishes evidentiary admissibility standards; the consequence of non-compliance is exclusion of evidence, not monetary penalties.

What This Bill Requires

Verbatim statutory text on the left; plain-language analysis and a per-section checklist on the right. Numbered markers cross-link to the matching checklist row.

Statutory Text
Analysis & Obligations
CPL § 60.80
Admissibility of evidence created or processed by AI in criminal proceedings

(1) 1 Evidence created, in whole or in part, by artificial intelligence shall not be received into evidence in a criminal proceeding unless the evidence is substantially supported by independent and admissible evidenceSubstantially supported by independent and admissible evidenceEvidence is substantially supported by independent and admissible evidence where: (a) The independent evidence is separate from, and not derived from, the artificial intelligence that generated the artificially created evidence; (b) The independent evidence is admissible under the existing rules of evidence; (c) The independent evidence bears a close and significant relationship to the artificially created evidence in such a manner that it reinforces or corroborates the information created from the artificially created evidence.CPL § 60.80(6); CPLR § 4551(f) and the proponent of the evidence establishes the reliability and accuracy of the specific use of the artificial intelligence in creating the evidence.

(2) 2 Evidence processed, in whole or in part, by artificial intelligence shall not be received into evidence in a criminal proceeding unless the proponent of the evidence establishes the reliability and accuracy of the specific use of the artificial intelligence in processing the evidence.

(3) Evidence is created, in whole or in part, by artificial intelligence where the artificial intelligence produces new information from existing information not present in or reasonably deducible from the existing information.

(4) Evidence is processed, in whole or in part, by artificial intelligence where the artificial intelligence produces a conclusion based off of its analysis, interpretation, or transformation of existing information where such conclusion is not reasonably deducibleNot reasonably deducibleEvidence is not reasonably deducible from the existing information where the reliability or accuracy of the information created or conclusion drawn from the existing information would be substantially compromised without the use of artificial intelligence as a result of the complexity, uncertainty, or subtlety of the information.CPL § 60.80(5); CPLR § 4551(e) from the existing information.

(5) Evidence is not reasonably deducibleNot reasonably deducibleEvidence is not reasonably deducible from the existing information where the reliability or accuracy of the information created or conclusion drawn from the existing information would be substantially compromised without the use of artificial intelligence as a result of the complexity, uncertainty, or subtlety of the information.CPL § 60.80(5); CPLR § 4551(e) from the existing information where the reliability or accuracy of the information created or conclusion drawn from the existing information would be substantially compromised without the use of artificial intelligence as a result of the complexity, uncertainty, or subtlety of the information.

(6)(a)–(c) Evidence is substantially supported by independent and admissible evidenceSubstantially supported by independent and admissible evidenceEvidence is substantially supported by independent and admissible evidence where: (a) The independent evidence is separate from, and not derived from, the artificial intelligence that generated the artificially created evidence; (b) The independent evidence is admissible under the existing rules of evidence; (c) The independent evidence bears a close and significant relationship to the artificially created evidence in such a manner that it reinforces or corroborates the information created from the artificially created evidence.CPL § 60.80(6); CPLR § 4551(f) where: (a) The independent evidence is separate from, and not derived from, the artificial intelligence that generated the artificially created evidence; (b) The independent evidence is admissible under the existing rules of evidence; (c) The independent evidence bears a close and significant relationship to the artificially created evidence in such a manner that it reinforces or corroborates the information created from the artificially created evidence.

(7)(a)–(c) 3 The reliability and accuracy of the specific use of the artificial intelligence in creating or processing the evidence is sufficient where the proponent of the evidence has a qualified expert testify and such testimony is sufficient to prove that: (a) The specific use of the artificial intelligence has been validated through rigorous scientific or technical testing, demonstrating that it consistently produces accurate and reliable results in varied environments; (b) The artificial intelligence has been subjected to testing or application in environments that are similar or analogous to the specific context in which it is being used in the proceeding and such testing or application produced accurate and reliable results; (c) The artificial intelligence has not been subjected to any variables that, based on scientific or technical testing of the system, have a substantial probability of causing a materially inaccurate or unreliable result. In assessing the probability, the court shall consider the weight of the artificially created evidence relative to other admitted evidence.

(8) Where expert testimony would include trade secrets, privileged government information, or information about law enforcement techniques that, if disclosed, would unduly compromise their ability to effectively use their systems for their intended purpose, the court, in its discretion, may impose appropriate measures to protect such information.

This section establishes foundational admissibility requirements for AI-derived evidence in criminal proceedings. It draws a critical distinction between evidence created by AI (new information generated from existing data) and evidence processed by AI (conclusions drawn from analysis of existing data). AI-created evidence faces a higher bar: it must be both independently corroborated by admissible evidence and shown to be reliable and accurate through qualified expert testimony. AI-processed evidence requires only the reliability and accuracy showing.

The reliability standard is rigorous, requiring qualified expert testimony demonstrating scientific or technical validation, testing in analogous contexts, and the absence of variables likely to produce materially inaccurate results. The section also provides judicial discretion to protect trade secrets, privileged government information, and law enforcement techniques during expert testimony.

Compliance actions 3 items
1
A party seeking to introduce AI-created evidence in a criminal proceeding must show the evidence is substantially supported by independent admissible evidence and must establish the reliability and accuracy of the AI's specific use in creating the evidence.
2
A party seeking to introduce AI-processed evidence in a criminal proceeding must establish the reliability and accuracy of the AI's specific use in processing the evidence.
3
A party seeking to admit AI-created or AI-processed evidence in a criminal proceeding must present qualified expert testimony proving (1) the AI has been validated through rigorous scientific or technical testing, (2) the AI has been tested in environments analogous to the context at issue, and (3) the AI has not been subjected to variables with a substantial probability of causing materially inaccurate or unreliable results.
CPLR § 4551
Admissibility of evidence created or processed by AI in civil proceedings

(a) 4 Evidence created, in whole or in part, by artificial intelligence may not be received into evidence in a civil proceeding unless the evidence is substantially supported by independent and admissible evidenceSubstantially supported by independent and admissible evidenceEvidence is substantially supported by independent and admissible evidence where: (a) The independent evidence is separate from, and not derived from, the artificial intelligence that generated the artificially created evidence; (b) The independent evidence is admissible under the existing rules of evidence; (c) The independent evidence bears a close and significant relationship to the artificially created evidence in such a manner that it reinforces or corroborates the information created from the artificially created evidence.CPL § 60.80(6); CPLR § 4551(f) and the proponent of the evidence establishes the reliability and accuracy of the specific use of the artificial intelligence in creating the evidence.

(b) 5 Evidence processed, in whole or in part, by artificial intelligence may not be received into evidence in a civil proceeding unless the proponent of the evidence establishes the reliability and accuracy of the specific use of the artificial intelligence in processing the evidence.

(c) Evidence is created, in whole or in part, by artificial intelligence where the artificial intelligence produces new information from existing information not present in or reasonably deducible from the existing information.

(d) Evidence is processed, in whole or in part, by artificial intelligence where the artificial intelligence produces a conclusion based off of its analysis, interpretation, or transformation of existing information where such conclusion is not reasonably deducibleNot reasonably deducibleEvidence is not reasonably deducible from the existing information where the reliability or accuracy of the information created or conclusion drawn from the existing information would be substantially compromised without the use of artificial intelligence as a result of the complexity, uncertainty, or subtlety of the information.CPL § 60.80(5); CPLR § 4551(e) from the existing information.

(e) Evidence is not reasonably deducibleNot reasonably deducibleEvidence is not reasonably deducible from the existing information where the reliability or accuracy of the information created or conclusion drawn from the existing information would be substantially compromised without the use of artificial intelligence as a result of the complexity, uncertainty, or subtlety of the information.CPL § 60.80(5); CPLR § 4551(e) from the existing information where the reliability or accuracy of the information created or conclusion drawn from the existing information would be substantially compromised without the use of artificial intelligence as a result of the complexity, uncertainty, or subtlety of the information.

(f)(1)–(3) Evidence is substantially supported by independent and admissible evidenceSubstantially supported by independent and admissible evidenceEvidence is substantially supported by independent and admissible evidence where: (a) The independent evidence is separate from, and not derived from, the artificial intelligence that generated the artificially created evidence; (b) The independent evidence is admissible under the existing rules of evidence; (c) The independent evidence bears a close and significant relationship to the artificially created evidence in such a manner that it reinforces or corroborates the information created from the artificially created evidence.CPL § 60.80(6); CPLR § 4551(f) where: 1. The independent evidence is separate from, and not derived from, the artificial intelligence that generated the artificially created evidence; 2. The independent evidence is admissible under the existing rules of evidence; 3. The independent evidence bears a close and significant relationship to the artificially created evidence in such a manner that it reinforces or corroborates the information created from the artificially created evidence.

(g)(1)–(3) 6 The reliability and accuracy of the specific use of the artificial intelligence in creating or processing the evidence is sufficient where the proponent of the evidence has a qualified expert testify and such testimony is sufficient to prove that: 1. The specific use of the artificial intelligence has been validated through rigorous scientific or technical testing, demonstrating that it consistently produces accurate and reliable results in varied environments; 2. The artificial intelligence has been subjected to testing or application in environments that are similar or analogous to the specific context in which it is being used in the proceeding and such testing or application produced accurate and reliable results; 3. The artificial intelligence has not been subjected to any variables that, based on scientific or technical testing of the system, have a substantial probability of causing a materially inaccurate or unreliable result. In assessing the probability, the court shall consider the weight of the artificially created evidence relative to other admitted evidence.

(h) Where expert testimony would include trade secrets, privileged government information, or information about law enforcement techniques that, if disclosed, would unduly compromise their ability to effectively use their systems for their intended purpose, the court, in its discretion, may impose appropriate measures to protect such information.

This section mirrors CPL § 60.80 but applies in civil proceedings. The substantive standards are identical: AI-created evidence requires both independent corroboration and a reliability and accuracy showing, while AI-processed evidence requires only the reliability and accuracy showing. The same three-part expert testimony requirement applies, and courts retain the same discretion to protect trade secrets and privileged information.

The parallel structure means that civil and criminal litigants face the same evidentiary burden when seeking to introduce AI-derived evidence, ensuring a uniform standard across New York's judicial system.

Compliance actions 3 items
4
A party seeking to introduce AI-created evidence in a civil proceeding must show the evidence is substantially supported by independent admissible evidence and must establish the reliability and accuracy of the AI's specific use in creating the evidence.
5
A party seeking to introduce AI-processed evidence in a civil proceeding must establish the reliability and accuracy of the AI's specific use in processing the evidence.
6
A party seeking to admit AI-created or AI-processed evidence in a civil proceeding must present qualified expert testimony proving (1) the AI has been validated through rigorous scientific or technical testing, (2) the AI has been tested in environments analogous to the context at issue, and (3) the AI has not been subjected to variables with a substantial probability of causing materially inaccurate or unreliable results.
§ 3
Effective date

This act shall take effect on the first of January next succeeding the date on which it shall have become a law.

This section provides that the act takes effect on the first of January next succeeding the date on which it becomes law, establishing a delayed implementation period to allow the bar and judiciary to prepare for the new evidentiary standards.

Passage Likelihood

Failed
Status Failed
Final action REFERRED TO CODES

Legislative History

2024-01-26 REFERRED TO CODES

Entry Last Reviewed

2026-05-20
AI generated