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You Can Only Verify When You Know the Answer: Feature-Based Explanations Reduce Overreliance on AI for Easy Decisions, but Not for Hard Ones

dc.contributor.authorZhang, Zelun Tony
dc.contributor.authorBuchner, Felicitas
dc.contributor.authorLiu, Yuanting
dc.contributor.authorButz, Andreas
dc.date.accessioned2024-10-08T15:12:59Z
dc.date.available2024-10-08T15:12:59Z
dc.date.issued2024
dc.description.abstractExplaining the mechanisms behind model predictions is a common strategy in AI-assisted decision-making to help users rely appropriately on AI. However, recent research shows that the effectiveness of explanations depends on numerous factors, leading to mixed results, with many studies finding no effect or even an increase in overreliance, while explanations do improve appropriate reliance in other studies. We consider the factor of decision difficulty to better understand when feature-based explanations can mitigate overreliance. To this end, we conducted an online experiment (N = 200) with carefully selected task instances that cover a wide range of difficulties. We found that explanations reduce overreliance for easy decisions, but that this effect vanishes with increasing decision difficulty. For the most difficult decisions, explanations might even increase overreliance. Our results imply that explanations of the model’s inner workings are only helpful for a limited set of decision tasks where users easily know the answer themselves.en
dc.identifier.doi10.1145/3670653.3670660
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44826
dc.language.isoen
dc.pubPlaceNew York, NY, USA
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of Mensch und Computer 2024
dc.subjectAI-assisted decision-making
dc.subjectdecision difficulty
dc.subjectexplainable AI
dc.subjecthuman-AI decision-making
dc.subjectonline experiment
dc.subjectoverreliance
dc.titleYou Can Only Verify When You Know the Answer: Feature-Based Explanations Reduce Overreliance on AI for Easy Decisions, but Not for Hard Onesen
dc.typeText/Conference Paper
gi.citation.startPage156–170
gi.conference.locationKarlsruhe, Germany

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