Navigating Decision-making and Incentives in AI Labs for Risk Mitigation

Exploring decision-making processes within AI labs to address potential risks, advocating for a liability regime to promote responsible choices amidst financial pressures and competitive dynamics.

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How should the law govern AI? Those concerned about existential risks often push either for bans or for regulations meant to ensure that AI is developed safely - but another approach is possible. In this episode, Gabriel Weil talks about his proposal to modify tort law to enable people to sue AI companies for disasters that are "nearly catastrophic".

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Topics we discuss, and timestamps:

0:00:35 - The basic idea

0:20:36 - Tort law vs regulation

0:29:10 - Weil's proposal vs Hanson's proposal

0:37:00 - Tort law vs Pigouvian taxation

0:41:16 - Does disagreement on AI risk make this proposal less effective?

0:49:53 - Warning shots - their prevalence and character

0:59:17 - Feasibility of big changes to liability law

1:29:17 - Interactions with other areas of law

1:38:59 - How Gabriel encountered the AI x-risk field