Relates to the training and use of artificial intelligence frontier models; defines terms; establishes remedies for violations.
Impact
The proposed legislation significantly aims to enhance accountability among large developers who engaged in the creation or deployment of frontier AI models. Under this act, developers are required to follow specific safety protocols designed to mitigate risks associated with their AI technologies. This effort seeks to not only prevent harm from AI deployment but also to reinforce trust in the AI sector by ensuring that developers are held accountable for their products. Failure to comply can result in severe penalties ranging from both civil fines to injunctive relief, reinforcing a culture of safety and responsibility in an industry that is rapidly evolving.
Summary
S06953, also known as the Responsible AI Safety and Education Act (RAISE Act), aims to establish comprehensive regulations surrounding the training and deployment of frontier artificial intelligence models in New York State. The bill introduces a new section to the General Business Law that mandates stringent transparency requirements for developers. They are required to implement written safety and security protocols, conduct annual independent audits, and disclose any critical safety incidents within a defined time frame. This bill seeks to prevent potential risks linked to advanced AI technologies that may operate with minimal human intervention.
Contention
Notably, the bill has raised discussions about the balance between innovation and safety. Supporters argue that regulating AI development is essential to prevent potential harms that unchecked technological advancement can bring, emphasizing the importance of safeguarding public welfare. On the other hand, some industry stakeholders express concern that overly stringent regulations may stifle innovation and impede the competitive advantage of New York developers in a global context. This duality of perspectives highlights the need for ongoing dialogue as AI technologies continue to unfold and integrate into various aspects of society.
Establishes the artificial intelligence training data transparency act requiring developers of generative artificial intelligence models or services to post on the developer's website information regarding the data used by the developer to train the generative artificial intelligence model or service, including a high-level summary of the datasets used in the development of such system or service.
Establishes the artificial intelligence training data transparency act requiring developers of generative artificial intelligence models or services to post on the developer's website information regarding the data used by the developer to train the generative artificial intelligence model or service, including a high-level summary of the datasets used in the development of such system or service.
Establishes the Artificial Intelligence Literacy Act which establishes an artificial intelligence literacy in the digital equity competitive grant program.
Implements transparency requirements for developers of AI models; requires the establishment of an office for oversite of AI model developer transparency and reporting; makes related provisions.
Implements transparency requirements for developers of AI models; requires the establishment of an office for oversite of AI model developer transparency and reporting; makes related provisions.