Alignment between AI and human confidence reduces the complexity of learning optimal binary decisions with AI assistance, lowering regret from Ω(√(|H|·|B|·T)) to O(√(|H|·T log T)) under perfect alignment.
Towards optimiz- ing human-centric objectives in ai-assisted decision-making with offline reinforcement learning.arXiv preprint arXiv:2403.05911,
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Learning to Decide with AI Assistance under Human-Alignment
Alignment between AI and human confidence reduces the complexity of learning optimal binary decisions with AI assistance, lowering regret from Ω(√(|H|·|B|·T)) to O(√(|H|·T log T)) under perfect alignment.