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Delegating Authorization to Misaligned Agents: Coalitional Alignment and Safe Control

Collina, Natalie et al.
arXiv (OAI Expanded) · Papers
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computer-science-and-game-theorymachine-learningtheoretical-economics
Long-running AI agents create a control problem: each action they take changes the state, which in turn affects the trajectory of future actions. If the agent is not fully aligned, then guaranteeing safety requires approving consequential actions before allowing them to be executed. But requiring hu
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