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Lawrence Lessig
Harvard Law professor
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ai-governance (2)
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ai-safety (2)
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Should third-party audits be mandatory for major AI systems?
Lawrence Lessig strongly agrees and says:
At its core, SB1047 does one small but incredibly important thing: It requires that those developing the most advanced AI models adopt and follow safety protocols—including shutdown protocols—to reduce any risk that their models are stolen or deployed in a way that causes “critical harm.” The problem for tech companies is that the law builds in mechanisms to ensure that the protocols are sufficiently robust and actually enforced. The law would eventually require outside auditors to review the protocols, and from the start, it would protect whistleblowers within firms who come forward to show that protocols are not being followed. The law thus makes real what the companies say they are already doing. But if they’re already creating these safety protocols, why do we need a law to mandate it? First, because, as some within the industry assert directly, existing guidelines are often inadequate, and second, as whistleblowers have already revealed, some companies are not following the protocols that they have adopted. Opposition to SB1047 is thus designed to ensure that safety is optional—something they can promise but that they have no effective obligation to deliver. (2024) source Unverified -
Should we ban future open-source AI models that can be used to create weapons of mass destruction?
Lawrence Lessig strongly agrees and says:
You basically have a bomb that you're making available for free, and you don’t have any way to defuse it necessarily. It’s just an obviously fallacious argument. We didn’t do that with nuclear weapons: we didn’t say ‘the way to protect the world from nuclear annihilation is to give every country nuclear bombs.’ (2024) source Unverified