在护理地点减轻人工智能偏差
Matthew DeCamp1, Charlotta Lindvall2
1Center for Bioethics and Humanities, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
概括
解决人工智能方面的偏见对于促进医疗保健中的公平至关重要. 确保人工智能工具的公平临床实施对于公平的患者结果至关重要.
科学领域:
- 卫生信息学
- 人工智能
- 医学伦理
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健系统.
- 在人工智能驱动的医疗保健中确保公平的获取和成果是一个重大挑战.
- 人工智能工具的临床实施可以延续甚至加剧现有的健康差异.
研究的目的:
- 强调在临床实施过程中解决人工智能偏见的关键需求.
- 强调在医疗保健中部署人工智能的公平的重要性.
- 倡导减轻人工智能医疗应用偏见的策略.
主要方法:
- 这项研究是概念分析和文献综述.
- 它综合了现有的医疗保健人工智能偏见研究.
- 它侧重于临床实施的实际挑战.
主要成果:
- 人工智能算法的偏差可能导致不公平的患者护理.
- 临床实施环境是出现偏差的关键点.
- 需要采取主动措施,在广泛采用之前识别和纠正偏见.
结论:
- 在医疗保健中促进人工智能公平需要在临床实施时关注减轻偏见.
- 在设计和部署人工智能工具时,公平和公平必须是核心考虑因素.
- 需要进一步的研究和政策制定,以确保医疗保健中的道德AI.
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