AI RESEARCH
Biased Error Attribution in Multi-Agent Human-AI Systems Under Delayed Feedback
arXiv CS.AI
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ArXi:2603.23419v1 Announce Type: cross Human decision-making is strongly influenced by cognitive biases, particularly under conditions of uncertainty and risk. While prior work has examined bias in single-step decisions with immediate outcomes and in human interaction with a single autonomous agent, comparatively little attention has been paid to decision-making under delayed outcomes involving multiple AI agents, where decisions at each step affect subsequent states.