公共理由和规范性有意义的偏见:反对对算法偏见施加平等的解释
Anantharaman Muralidharan1, Julian Savulescu2,3,4, Gerald Owen Schaefer1
1Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Bioethics
|November 14, 2025
概括
将算法偏见归因于道德要求,但主导偏见理论无法公开证明其正当性. 这项研究提出了一个公开合理的算法偏见概念来解决这个差距.
科学领域:
- 计算机科学 计算机科学
- 伦理学 伦理学 伦理学
- 社会科学 社会科学 社会科学
背景情况:
- 将偏见归因于算法具有重要的规范权重,意味着对纠正和补偿的道德要求.
- 目前对算法偏见的概念通常依赖于有争议的平等公正原则.
- 这些前提违反了政策和宣传中的道德要求所必不可少的公开证明要求.
研究的目的:
- 批判性地检查算法偏差归因的规范性含义.
- 确定现有的偏见框架未能满足公众证明要求.
- 开发一种公开合理的算法偏见概念.
主要方法:
- 对道德要求和公共理由的哲学分析.
- 对算法偏见的主导平等主义观点的批评.
- 对算法偏差进行替代框架的开发.
主要成果:
- 算法偏差归因作为道德要求而不是简单的描述.
- 主导偏见理论由于依赖有争议的平等前提,因此无法公开证明.
- 提出了一个新的,公开合理的算法偏差概念.
结论:
- 解决算法偏见需要一个尊重公共理由的框架.
- 拟议的概念为道德的人工智能开发和部署提供了更强大的基础.
- 未来的工作应该探索这种公开合理的偏见框架的实际实施.
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