You Can Only Verify When You Know the Answer: Feature-Based Explanations Reduce Overreliance on AI for Easy Decisions, but Not for Hard Ones
Author:
Affiliation:
1. fortiss GmbH, Germany and LMU Munich, Germany
2. LMU Munich, Germany
3. fortiss GmbH, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3670653.3670660
Reference42 articles.
1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems
2. Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
3. Questioning the ability of feature-based explanations to empower non-experts in robo-advised financial decision-making
4. The Role of Explanations on Trust and Reliance in Clinical Decision Support Systems
5. Zana Buçinca, Alexandra Chouldechova, Jennifer Wortman Vaughan, and Krzysztof Z. Gajos. 2022. Beyond end predictions: stop putting machine learning first and design human-centered AI for decision support. In Virtual Workshop on Human-Centered AI Workshop at NeurIPS (HCAI @ NeurIPS ’22). Virtual Event, USA, 1–4.
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