arxivcs.AIcs.GT2026-06-30
A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry
We study runtime human oversight of an AI agent when private information runs in both directions: the human privately knows her reward function, while the AI privately knows the quality of the action it proposes. This is the kind of asymmetry that arises naturally when an autonom…