Russell Argues Safer AI Requires Genuine Uncertainty About Human Goals

UC Berkeley researcher Stuart Russell proposes a counterintuitive path to AI safety: instead of building systems with confident knowledge of their objectives, systems should be designed to remain genuinely uncertain about what humans actually want. In remarks on The Information's AI Deep Dive segment, Russell outlined how this uncertainty could preserve human control even as AI systems become more powerful.