更多的数据总是更好吗? 关于减轻人工智能卫生系统偏见的替代政策
Guillermo Lazcoz1,2, Iñigo de Miguel3,4
1Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER-ISCIII).
Bioethics
|February 10, 2025
概括
欧洲政策制定者在监管人工智能 (AI) 医疗系统方面面临着挑战. 当前的法规可能无法充分解决人工智能偏见,冒着歧视的风险,并要求实施后加强控制.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能伦理学 人工智能伦理学
- 监管科学 监管科学
背景情况:
- 人工智能 (AI) 系统在医疗保健中提供了变革性的潜力.
- 然而,人工智能健康系统带来了重大风险,特别是偏见的传播.
- 这种偏见可能导致歧视性结果,给道德和实践带来挑战.
研究的目的:
- 评估欧洲医疗器械法规在解决人工智能偏见方面的充分性.
- 分析人工智能法和欧洲卫生数据空间中的拟议监管补救措施.
- 评估这些政策对隐私和歧视保护的影响.
主要方法:
- 分析欧盟监管文件,包括人工智能法案和拟议的欧洲卫生数据空间.
- 对减轻人工智能卫生系统偏见的拟议政策的审查.
- 评估数据处理策略对隐私和反歧视的潜在影响.
主要成果:
- 目前的欧洲医疗器械法规可能不足以解决AI偏见的复杂性.
- 人工智能法和欧洲卫生数据空间中提出的补救措施显示,对隐私和歧视的影响各不相同.
- 在商业化前阶段专注于缓解偏差被认为是潜在的弱点.
结论:
- 欧洲决策者需要加强人工智能卫生系统的监管框架.
- 偏见控制机制需要更大的雄心壮志,特别是在实施后.
- 需要一个平衡的方法来利用人工智能的好处,同时减轻歧视和侵犯隐私的风险.
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