Imposes obligations on developers and deployers of high-risk AI decision systems used to make or substantially influence consequential decisions affecting New York consumers in areas such as employment, housing, credit, healthcare, education, insurance, and legal services. Developers must provide deployers with documentation on training data, known risks of algorithmic discrimination, intended uses, and mitigation measures, and must publish a public summary of their high-risk AI systems. Deployers must implement and maintain a risk management policy and program, complete annual impact assessments, conduct annual anti-discrimination reviews, provide pre-decision consumer notice, and offer adverse-decision explanations with appeal rights including human review. Developers of general-purpose AI models must create and maintain technical documentation and make it available to downstream integrators. Enforcement is exclusively by the Attorney General under an unfair trade practices framework, with a mandatory 60-day cure period during the first year and a red-teaming affirmative defense tied to NIST AI RMF or equivalent frameworks. No private right of action.
"Developer" shall mean any person doing business in this state that develops, or intentionally and substantially modifies, an artificial intelligence decision system.
"Deployer" shall mean any person doing business in this state that deploys a high-risk artificial intelligence decision system.
"Person" shall mean any individual, association, corporation, limited liability company, partnership, trust or other legal entity authorized to do business in this state.
"Artificial intelligence decision system" shall mean any computational process, derived from machine learning, statistical modeling, data analytics, or artificial intelligence, that issues simplified output, including any content, decision, prediction, or recommendation, that is used to substantially assist or replace discretionary decision making for making consequential decisions that impact consumers.
"High-risk artificial intelligence decision system": (a) shall mean any artificial intelligence decision system that, when deployed, makes, or is a substantial factor in making, a consequential decision; and (b) shall not include: (i) any artificial intelligence decision system that is intended to: (A) perform any narrow procedural task; or (B) detect decision-making patterns, or deviations from decision-making patterns, unless such artificial intelligence decision system is intended to replace or influence any assessment previously completed by an individual without sufficient human review; or (ii) unless the technology, when deployed, makes, or is a substantial factor in making, a consequential decision: (A) any anti-fraud technology that does not make use of facial recognition technology; (B) any artificial intelligence-enabled video game technology; (C) any anti-malware, anti-virus, calculator, cybersecurity, database, data storage, firewall, Internet domain registration, Internet-web-site loading, networking, robocall-filtering, spam-filtering, spellchecking, spreadsheet, web-caching, web-hosting, or similar technology; (D) any technology that performs tasks exclusively related to an entity's internal management affairs, including, but not limited to, ordering office supplies or processing payments; or (E) any technology that communicates with consumers in natural language for the purpose of providing consumers with information, making referrals or recommendations, and answering questions, and is subject to an accepted use policy that prohibits generating content that is discriminatory or harmful.
"General-purpose artificial intelligence model": (a) shall mean any form of artificial intelligence decision system that: (i) displays significant generality; (ii) is capable of competently performing a wide range of distinct tasks; and (iii) can be integrated into a variety of downstream applications or systems; and (b) shall not include any artificial intelligence model that is used for development, prototyping, and research activities before such artificial intelligence model is released on the market.