探索人工智能和向药物制造中的偏见风险
Ngozi Nwebonyi1, Francis McKay2
1Department of Translational Health Sciences, Bristol Medical School, Learning and Research Building, University of Bristol, Level 1 Southmead Hospital, Bristol, BS10 5NB, UK.
BMC medical ethics
|October 16, 2024
概括
针对性药物制造中的人工智能可能会带来偏差风险. 一些偏见可能会纠正健康不平等,但在实施之前需要进一步的批判性反思.
科学领域:
- 生物伦理学生物伦理学
- 精准医学是一门精准的医学.
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 提供了重要的医疗价值,但有可能通过偏见扩大健康不平等.
- 利用数字化系统和人工智能制造有针对性的药物制造,由于其新性,面临不确定的偏见风险.
研究的目的:
- 探索AI驱动的向药物制造中的潜在偏见风险.
- 检查利益相关者的观点在这个新兴领域的偏见.
主要方法:
- 与生物伦理学,精准医学和人工智能领域的利益相关者进行了11次半结构面试.
- 分析了采访数据,以确定人工智能驱动的向治疗制造方面的意见.
主要成果:
- 偏见可以出现在目标药物制造的上游 (研发) 和下游 (生产) 阶段.
- 对患者数据不那么依赖的下游流程可能会带来较低的偏差风险.
- 确定了一系列偏见含义,包括可能的"纠正偏见",可以解决健康不平等问题.
结论:
- "纠正偏见"的概念提出了一个新的视角,挑战了对偏见的纯粹负面观点.
- 虽然"纠正偏见"可能是解决健康不平等问题的方法,但在实际应用之前,它需要大量的批判性反思.
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