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Human Compatible: Artificial Intelligence and the Problem of Control cover

Human Compatible: Artificial Intelligence and the Problem of Control

Stuart Russell

AI Safety / Computer Science

Berkeley AI professor Stuart Russell argues that the standard model of AI—build a system that optimizes a fixed objective—is fundamentally broken, and proposes replacing it with machines that are uncertain about human preferences and defer to humans under that uncertainty. Rigorous and accessible, it bridges technical AI research and policy in a way that almost no other book does. Sits at the intersection of the AI Canon's technical deep dives and its market analysis of what safe, deployable AI actually requires.

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  • a16z

    Russell's technical and philosophical case for preference-uncertain AI; the serious computer scientist's companion to the AI Canon's safety-adjacent papers.

    a16z.com