医疗从业者视角下的算法偏见研究
Algorithmic Bias from the Perspectives of Healthcare Professionals
AI 导读
一篇 arXiv 论文（arXiv:2610.38006）研究医疗信息系统中的机器学习与 AI 算法偏见，基于对临床与行政等不同岗位医疗从业者的问卷和访谈数据，分析算法偏见、感知公平与算法及算法产出接受采纳意愿之间的关系。结果显示，从业者对偏见成因、算法评估标准、感知公平和偏见缓解方式的看法因岗位、视角、任务和算法特征而异。论文呼吁更多研究以保障医疗领域的公平与平等。
正文 · 原文
Abstract:This paper focuses on algorithmic bias of machine learning and artificial intelligence applications in healthcare information systems. Based on the quantitative data and qualitative comments from a survey and interviews with healthcare professionals, who have different job roles (e.g., clinical vs. administrative), this study provides findings about the relationships between algorithmic bias, perceived fairness, and the intended acceptance and adoption of ML algorithms and algorithm generated outcomes. The results suggest that the opinions of healthcare professionals toward the causes of algorithmic bias, the criteria of algorithm assessment, the perceived fairness, and bias mitigation approaches may vary depending on their job roles, perspectives, tasks, and the algorithm characteristics. More research is needed to investigate algorithmic bias to ensure fairness and equality in healthcare.
| Comments: | 12 pages |
| Subjects: | Artificial Intelligence (cs.AI) |
| ACM classes: | H.1.2; I.2.6; K.4.2; K.4.1 |
| Cite as: | arXiv:2610.38006 [cs.AI] |
| (or arXiv:2610.38006v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.38006 arXiv-issued DOI via DataCite |
Submission history
From: Tamara Babaian [view email]
[v1]
Tue, 27 Oct 2026 21:57:13 UTC (292 KB)
来源：arXiv cs.AI · arxiv.org