California approves legislation to tighten AI regulation

  • California lawmakers approved legislation to ban deepfakes, protect workers and regulate artificial intelligence.
  • One proposal would ask a state task force to consider incorporating AI skills into math, science, history and social science curricula.
  • OUR TAKEThe passage of these bills could have a profound impact on AI regulation around the world, as they all point towards greater transparency and accountability. While the bills have sparked heated debate in Silicon Valley and elsewhere, they also reflect the government’s growing concern about AI ethics and transparency, as well as its potential risks.— Iydia Ding, BTW reporter

    What happened

    California lawmakers this week approved a series of proposals aimed at regulating theartificial intelligenceindustry, cracking down on deepfakes and protecting workers from exploitation by the rapidly evolving technology. TheDemocratic-controlled Californialegislature will vote on hundreds of bills during the session to send toGov. Gavin Newsom.

    The Democratic governor has until Sept. 30 to sign the proposals, veto them or let them become law without his signature. Newsom said in July he would sign a proposal to crack down on election deep counterfeiting, but has not considered other legislation. Earlier this summer, he warned that over-regulation could hurt local industries. In recent years, he has often cited the state’s budget problems when rejecting legislation he would otherwise have supported.

    Also read:California advances landmark legislation to regulate AI models

    Also read:Elon Musk backs California bill to regulate AI

    Why it’s important

    The proposals aim to regulate the AI industry, combat deepfakes, and protect workers from exploitation by rapidly evolving technologies. California’s passage of SB 1047 is one of the first major regulatory bills targeting artificial intelligence in the United States. The bill requires AI companies to be more transparent about their use of model training data, including disclosing data sources and how they generate it, in order to increase public trust in AI technology and reduce legal and ethical disputes arising from injustice or bias.

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    The passage of these bills could have a profound impact on AI regulation globally, pointing to greater transparency and accountability. While the bills have sparked heated debate in Silicon Valley and elsewhere, they also reflect growing concerns about AI ethics and transparency, as well as an emphasis on the potential risks. The implementation of these bills may push enterprises to make corresponding adjustments in their AI strategies to adapt to the new regulatory requirements.

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