Automation bias and overconfidence in artificial intelligence and associated legal implications

IF 1.5 4区医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Clinical Imaging Pub Date : 2026-04-01 Epub Date: 2026-02-06 DOI:10.1016/j.clinimag.2026.110745

Jonathan L. Mezrich

引用次数: 0

Abstract

As use of artificial intelligence algorithms in clinical practice becomes more commonplace, radiologists may become overconfident in the abilities of these applications or succumb to automation bias. However misplaced confidence in artificial intelligence may have legal implications. This article makes a number of recommendations for radiologists to help temper biases and limit liability as algorithms become more prevalent in practice.

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自动化偏见和对人工智能的过度自信及其相关的法律影响

随着人工智能算法在临床实践中的应用变得越来越普遍，放射科医生可能会对这些应用程序的能力过于自信，或者屈服于自动化偏见。然而，对人工智能的错误信任可能会产生法律影响。本文为放射科医生提出了一些建议，以帮助缓和偏见和限制责任，因为算法在实践中变得越来越普遍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical Imaging 医学-核医学

CiteScore

4.60

自引率

0.00%

发文量

265

审稿时长

35 days

期刊介绍： The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include: -Body Imaging- Breast Imaging- Cardiothoracic Imaging- Imaging Physics and Informatics- Molecular Imaging and Nuclear Medicine- Musculoskeletal and Emergency Imaging- Neuroradiology- Practice, Policy & Education- Pediatric Imaging- Vascular and Interventional Radiology