Rohin Shah on AGI Safety
Transcript of an 80,000 Hours interview with Google DeepMind's Rohin Shah arguing catastrophic misalignment is unlikely by default, and discussing the limits of safety commitments and third-party audits.
AI research and discussion on LessWrong. www.lesswrong.com
Transcript of an 80,000 Hours interview with Google DeepMind's Rohin Shah arguing catastrophic misalignment is unlikely by default, and discussing the limits of safety commitments and third-party audits.
Argues that AI threats to human cognitive security, including persuasion, manipulation via RLHF incentives, and AI psychosis, should be an AI safety cause area, with calls for independent evaluations and liability law.
Argues that honest, well-calibrated AI advisors could flag an uncontrolled intelligence explosion as dangerous, identifies failure modes like developer manipulation and sycophancy, and proposes epistemic virtue evals.
A comprehensive index of AI safety, alignment and control interventions, covering theory, formal methods, interpretability, oversight, robustness, control, and governance, with links to prior work.
Proposes an IRB-like ethics framework for AI experiments to protect possible AI moral patients and build trust for future deals with misaligned AIs, discussing consent, deception and monitoring; tentative, high-level.