N.Y. Gen. Bus. Law § 1420
Definitions
Redline — January 1, 2026 → current.View current text →
Current — June 29, 2026
As of January 1, 2026
* § 1420. Definitions. As used in this article, the following terms\nshall have the following meanings:\n 1. "Appropriate redactions" means redactions to a safety and security\nprotocol that a developer may make when necessary to:\n (a) protect public safety to the extent the developer can reasonably\npredict such risks;\n (b) protect trade secrets;\n (c) prevent the release of confidential information as required by\nstate or federal law;\n (d) protect employee or customer privacy; or\n (e) prevent the release of information otherwise controlled by state\nor federal law.\n 2. "Artificial intelligence" means a machine-based system that can,\nfor a given set of human-defined objectives, make predictions,\nrecommendations, or decisions influencing real or virtual environments,\nand that uses machine- and human-based inputs to perceive real and\nvirtual environments, abstract such perceptions into models through\nanalysis in an automated manner, and use model inference to formulate\noptions for information or action.\n 3. "Artificial intelligence model" means an information system or\ncomponent of an information system that implements artificial\nintelligence technology and uses computational, statistical, or\nmachine-learning techniques to produce outputs from a given set of\ninputs.\n 4. "Compute cost" means the cost incurred to pay for compute used in\nthe final training run of a model when calculated using the average\npublished market prices of cloud compute in the United States at the\nstart of training such model as reasonably assessed by the person doing\nthe training.\n 5. "Deploy" means to use a frontier model or to make a frontier model\nforeseeably available to one or more third parties for use,\nmodification, copying, or a combination thereof with other software,\nexcept for training or developing the frontier model, evaluating the\nfrontier model or other frontier models, or complying with federal or\nstate laws.\n 6. "Frontier model" means either of the following:\n (a) an artificial intelligence model trained using greater than 10^26\ncomputational operations (e.g., integer or floating-point operations),\nthe compute cost of which exceeds one hundred million dollars; or\n (b) an artificial intelligence model produced by applying knowledge\ndistillation to a frontier model as defined in paragraph (a) of this\nsubdivision, provided that the compute cost for such model produced by\napplying knowledge distillation exceeds five million dollars.\n 7. "Critical harm" means the death or serious injury of one hundred or\nmore people or at least one billion dollars of damages to rights in\nmoney or property caused or materially enabled by a large developer's\nuse, storage, or release of a frontier model, through either of the\nfollowing:\n (a) The creation or use of a chemical, biological, radiological, or\nnuclear weapon; or\n (b) An artificial intelligence model engaging in conduct that does\nboth of the following:\n (i) Acts with no meaningful human intervention; and\n (ii) Would, if committed by a human, constitute a crime specified in\nthe penal law that requires intent, recklessness, or gross negligence,\nor the solicitation or aiding and abetting of such a crime.\n A harm inflicted by an intervening human actor shall not be deemed to\nresult from a developer's activities unless such activities were a\nsubstantial factor in bringing about the harm, the intervening human\nactor's conduct was reasonably foreseeable as a probable consequence of\nthe developer's activities, and could have been reasonably prevented or\nmitigated through alternative design, or security measures, or safety\nprotocols.\n 8. "Knowledge distillation" means any supervised learning technique\nthat uses a larger artificial intelligence model or the output of a\nlarger artificial intelligence model to train a smaller artificial\nintelligence model with similar or equivalent capabilities as the larger\nartificial intelligence model.\n 9. "Large developer" means a person that has trained at least one\nfrontier model and has spent over one hundred million dollars in compute\ncosts in aggregate in training frontier models. Accredited colleges and\nuniversities shall not be considered large developers under this article\nto the extent that such colleges and universities are engaging in\nacademic research. If a person subsequently transfers full intellectual\nproperty rights of the frontier model to another person (including the\nright to resell the model) and retains none of those rights for\nthemself, then the receiving person shall be considered the large\ndeveloper and shall be subject to the responsibilities and requirements\nof this article after such transfer.\n 10. "Model weight" means a numerical parameter in an artificial\nintelligence model that is adjusted through training and that helps\ndetermine how inputs are transformed into outputs.\n 11. "Person" means an individual, proprietorship, firm, partnership,\njoint venture, syndicate, business trust, company, corporation, limited\nliability company, association, committee, or any other nongovernmental\norganization or group of persons acting in concert.\n 12. "Safety and security protocol" means documented technical and\norganizational protocols that:\n (a) Describe reasonable protections and procedures that, if\nsuccessfully implemented would appropriately reduce the risk of critical\nharm;\n (b) Describe reasonable administrative, technical, and physical\ncybersecurity protections for frontier models within the large\ndeveloper's control that, if successfully implemented, appropriately\nreduce the risk of unauthorized access to, or misuse of, the frontier\nmodels leading to critical harm, including by sophisticated actors;\n (c) Describe in detail the testing procedure to evaluate if the\nfrontier model poses an unreasonable risk of critical harm and whether\nthe frontier model could be misused, be modified, be executed with\nincreased computational resources, evade the control of its large\ndeveloper or user, be combined with other software or be used to create\nanother frontier model in a manner that would increase the risk of\ncritical harm;\n (d) Enable the large developer or third party to comply with the\nrequirements of this article; and\n (e) Designate senior personnel to be responsible for ensuring\ncompliance.\n 13. "Safety incident" means a known incidence of critical harm or an\nincident of the following kinds that occurs in such a way that it\nprovides demonstrable evidence of an increased risk of critical harm:\n (a) A frontier model autonomously engaging in behavior other than at\nthe request of a user;\n (b) Theft, misappropriation, malicious use, inadvertent release,\nunauthorized access, or escape of the model weights of a frontier model;\n (c) The critical failure of any technical or administrative controls,\nincluding controls limiting the ability to modify a frontier model; or\n (d) Unauthorized use of a frontier model.\n 14. "Trade secret" means any form and type of financial, business,\nscientific, technical, economic, or engineering information, including a\npattern, plan, compilation, program device, formula, design, prototype,\nmethod, technique, process, procedure, program, or code, whether\ntangible or intangible, and whether or how stored, compiled, or\nmemorialized physically, electronically, graphically, photographically\nor in writing, that:\n (a) Derives independent economic value, actual or potential, from not\nbeing generally known to, and not being readily ascertainable by proper\nmeans by, other persons who can obtain economic value from its\ndisclosure or use; and\n (b) Is the subject of efforts that are reasonable under the\ncircumstances to maintain its secrecy.\n * NB Effective March 19, 2026\n
* § 1420. Definitions. As used in this article, the following terms\nshall have the following meanings:\n 1. "Affiliate" means a person controlling, controlled by, or under\ncommon control with a specified person, directly or indirectly, through\none or more intermediaries.\n 2. "Artificial intelligence model" means an engineered or\nmachine-based system that varies in its level of autonomy and that can,\nfor explicit or implicit objectives, infer from the input it receives\nhow to generate outputs that can influence physical or virtual\nenvironments.\n 3. (a) "Catastrophic risk" means a foreseeable and material risk that\na frontier developer's development, storage, use, or deployment of a\nfrontier model will materially contribute to the death of, or serious\ninjury to, more than fifty people or more than one billion dollars in\ndamage to, or loss of, property arising from a single incident involving\na frontier model doing any of the following:\n (i) providing expert-level assistance in the creation or release of a\nchemical, biological, radiological, or nuclear weapon;\n (ii) engaging in conduct with no meaningful human oversight,\nintervention, or supervision that is either a cyberattack or, if the\nconduct had been committed by a human, would constitute the crime of\nmurder, assault, extortion, or theft, including theft by false pretense;\nor\n (iii) evading the control of its frontier developer or user.\n (b) "Catastrophic risk" does not include a foreseeable and material\nrisk from any of the following:\n (i) information that a frontier model outputs if the information is\notherwise publicly accessible in a substantially similar form from a\nsource other than a foundation model;\n (ii) lawful activity of the federal government; or\n (iii) harm caused by a frontier model in combination with other\nsoftware if the frontier model did not materially contribute to the\nharm.\n 4. "Critical safety incident" means any of the following:\n (a) unauthorized access to, modification of, or exfiltration of, the\nmodel weights of a frontier model that results in death or bodily\ninjury;\n (b) harm resulting from the materialization of a catastrophic risk;\n (c) loss of control of a frontier model causing death or bodily\ninjury; or\n (d) a frontier model that uses deceptive techniques against the\nfrontier developer to subvert the controls or monitoring of its frontier\ndeveloper outside of the context of an evaluation designed to elicit\nthis behavior and in a manner that demonstrates materially increased\ncatastrophic risk.\n 5. (a) "Deploy" means to make a frontier model available to a third\nparty for use, modification, copying, or combination with other\nsoftware.\n (b) "Deploy" does not include making a frontier model available to a\nthird party for the primary purpose of developing or evaluating the\nfrontier model.\n 6. "Foundation model" means an artificial intelligence model that is\nall of the following:\n (a) trained on a broad data set;\n (b) designed for generality of output; and\n (c) adaptable to a wide range of distinctive tasks.\n 7. "Frontier AI framework" means documented technical and\norganizational protocols to manage, assess, and mitigate catastrophic\nrisks.\n 8. "Frontier developer" means a person who has trained, or initiated\nthe training of, a frontier model, with respect to which the person has\nused, or intends to use, at least as much computing power to train the\nfrontier model as would meet the technical specifications found in\nsubdivision nine of this section.\n 9. (a) "Frontier model" means a foundation model that was trained\nusing a quantity of computing power greater than 10^26 integer or\nfloating-point operations.\n (b) The quantity of computing power described in paragraph (a) of this\nsubdivision shall include computing for the original training run and\nfor any subsequent fine-tuning, reinforcement learning, or other\nmaterial modifications the developer applies to a preceding foundation\nmodel.\n 10. "Large frontier developer" means a frontier developer that\ntogether with its affiliates collectively had annual gross revenues in\nexcess of five hundred million dollars in the preceding calendar year.\n 11. "Model weight" means a numerical parameter in a frontier model\nthat is adjusted through training and that helps determine how inputs\nare transformed into outputs.\n 12. "Department" means the department of financial services.\n 13. "Property" means tangible or intangible property.\n 14. "Person" means an individual, proprietorship, firm, partnership,\njoint venture, syndicate, business trust, company, corporation, limited\nliability company, association, committee, or any other nongovernmental\norganization or group of persons acting in concert.\n 15. "Superintendent" means the superintendent of financial services.\n 16. "Office" means an office within the department of financial\nservices, which shall report to the superintendent of financial services\nand is tasked with implementation of this article.\n * NB Effective January 1, 2027\n
Official source: NYS Open Legislation (New York State Senate). Reproduced from public-domain New York statutes; confirm against the official source for the current text. Not legal advice.