The voluntary commitments included third-party security testing of tools, known as red-teaming, research on bias and privacy concerns, information-sharing about risks with governments and other organizations, and development of tools to fight societal challenges like climate change, while including transparency measures to identify A.I.-generated material. The companies were already performing many of those commitments.
U.S. Tech-Based Law: Any substantive regulation of A.I. will have to come from Congress. The Senate majority leader, Chuck Schumer, Democrat of New York, has promised a comprehensive bill for A.I., possibly by next year.
But so far, lawmakers have introduced bills that are focused on the production and deployment of A.I.-systems. The proposals include the creation of an agency like the Food and Drug Administration that could create regulations for A.I. providers, approve licenses for new systems, and establish standards. Sam Altman, the chief executive of OpenAI, has supported the idea. Google, however, has proposed that the National Institute of Standards and Technology, founded more than a century ago with no regulatory powers, to serve as the hub of government oversight.
Other bills are focused on copyright violations by A.I. systems that gobble up intellectual property to create their systems. Proposals on election security and limiting the use of “deep fakes” have also been put forward.
China Moves Fast on Regulations of Speech: Since 2021, China has moved swiftly in rolling out regulations on recommendation algorithms, synthetic content like deep fakes, and generative A.I. The rules ban price discrimination by recommendation algorithms on social media, for instance. A.I. makers must label synthetic A.I.-generated content. And draft rules for generative A.I., like OpenAI’s chatbot, would require training data and the content the technology creates to be “true and accurate,” which many view as an attempt to censor what the systems say.
Originally posted 2023-12-06 18:58:54.