Explanations Can Reduce Overreliance on AI Systems During Decision-Making

Prior work has identified a resilient phenomenon that threatens the performance of human-AI decision-making teams: overreliance, when people agree with an AI, even when it is incorrect. Surprisingly, overreliance does not reduce when the AI produces explanations for its predictions, compared to only...

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Veröffentlicht in:	Proceedings of the ACM on human-computer interaction 2023-04, Vol.7 (CSCW1), p.1-38, Article 129
Hauptverfasser:	Vasconcelos, Helena, Jörke, Matthew, Grunde-McLaughlin, Madeleine, Gerstenberg, Tobias, Bernstein, Michael S., Krishna, Ranjay
Format:	Artikel
Sprache:	eng
Schlagworte:	Collaborative and social computing Empirical studies in collaborative and social computing Empirical studies in HCI HCI theory, concepts and models Human computer interaction (HCI) Human-centered computing
Online-Zugang:	Volltext
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