Robin Hanson's "Foom Liability": a robust policy case for AI liability incentives
NathanpmYoung · x · 2026-09-14
The thread discusses Robin Hanson's essay "Foom Liability," which argues for robust AI policy: instead of betting on specific doom-risk estimates, impose liability incentives on AI builders so that society benefits if foom risk is high while costs stay low if it isn't. Hanson reasons that near-miss variants of the self-improving AI scenario are far more numerous than the extreme case. The poster calls for an organization lobbying specifically for AI liability.
More from AGI Musings
- Emad Mostaque rebuts Dario Amodei's frontier-pacing proposal: 'Intelligence isn't a crime' — QuixiAI · 2026-09-14
- Satyam Dhar's essay: The End of the Digital Age — ArtificialOther · 2026-09-14
- Blogger toasts ASI builders: it's hard to build, easy to throw rocks — iruletheworldmo · 2026-09-14
- 'The Machines Won't Kill Us, They'll Keep Us Alive' — rand_longevity · 2026-09-14
- Building AI model 'seeds' may replace training models from scratch as RSI matures — GlenBradley · 2026-09-14
- Matt Yglesias: no law on the books stops recursive self-improving AI, and you can't sue a superintelligence — deanwball · 2026-09-14