Human Compatible: Artificial Intelligence and the Problem of Control
At a glance
Stuart Russell’s argument for AI that learns human preferences and remains open to correction.
In one paragraph
Examines why increasingly capable AI could escape human control when given the wrong objectives. Russell proposes designing systems that remain uncertain about human preferences, learn from people, and accept correction rather than blindly pursuing a fixed goal.