Exploring automation bias in human–AI collaboration: a review and implications for explainable AI

Abstract As Artificial Intelligence (AI) becomes increasingly embedded in high-stakes domains such as healthcare, law, and public administration, automation bias (AB)—the tendency to over-rely on automated recommendations—has emerged as a critical challenge in human–AI collaboration. While previous reviews have examined AB in traditional computer-assisted decision-making, research on its implications in modern AI-driven work environments remains limited. To address this gap, this research system

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ethics.ai (3 July 2025), “Exploring automation bias in human–AI collaboration: a review and implications for explainable AI,” evidence record 9769, https://ethics.ai/record/9769 (originally published by OpenAlex).

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