Learning to Decide with AI Assistance under Human-Alignment

This paper investigates how the alignment between AI confidence and human decision-maker confidence influences the complexity of learning optimal decisions in AI-assisted scenarios. It addresses the question of how this alignment impacts the ease of learning to make optimal choices through repeated interactions, modeling it as a two-armed online co-learning problem.