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Can AI Explanations Make You Change Your Mind?

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arxiv 2508.08158 v1 pith:TSSN32SM submitted 2025-08-11 cs.HC cs.AI

Can AI Explanations Make You Change Your Mind?

classification cs.HC cs.AI
keywords explanationsconsiderdetailerrorsmindparticipantstrustusers
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In the context of AI-based decision support systems, explanations can help users to judge when to trust the AI's suggestion, and when to question it. In this way, human oversight can prevent AI errors and biased decision-making. However, this rests on the assumption that users will consider explanations in enough detail to be able to catch such errors. We conducted an online study on trust in explainable DSS, and were surprised to find that in many cases, participants spent little time on the explanation and did not always consider it in detail. We present an exploratory analysis of this data, investigating what factors impact how carefully study participants consider AI explanations, and how this in turn impacts whether they are open to changing their mind based on what the AI suggests.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Interpretability Can Be Actionable

    cs.LG 2026-05 conditional novelty 6.0

    Interpretability research should be judged by actionability—the degree to which its insights support concrete decisions and interventions—rather than explanatory power alone.