人工智能的偏见:承认和解决不可避免的伦理问题
1Centre of Medical Ethics, The University of Oslo, Oslo, Norway.
Frontiers in digital health
|September 5, 2025
概括
人工智能 (AI) 的偏见被归类为输入,系统和应用偏见,造成道德挑战. 现有的人工智能道德框架难以完全解决这些偏见,需要透明度和协作.
科学领域:
- 人工智能道德
- 没有偏见
- 道德心理学
背景情况:
- 人工智能 (AI) 系统表现出各种偏见,包括输入,系统和应用偏见.
- 这些偏见导致重大道德问题,如不公正,失去自主权和侵蚀责任.
研究的目的:
- 审查和分类人工智能系统中的偏见.
- 检查人工智能偏见所带来的道德挑战.
- 评估当前人工智能道德框架在应对这些挑战方面的有效性.
主要方法:
- 对人工智能偏见和道德影响的文献审查.
- 将人工智能偏差分为输入,系统和应用类型.
- 对现有的人工智能伦理原则,准则和法规进行分析.
主要成果:
- 确定了输入,系统和应用偏差作为关键类别.
- 突出了包括不公正,失去自主权和责任侵蚀在内的道德挑战.
- 发现当前的人工智能伦理方法往往不足以完全缓解持久偏见.
结论:
- 需要承认和接受与人工智能偏见相关的剩余道德问题.
- 整合伦理和道德心理学的见解可以改善人工智能偏见的挑战.
- 科学家和伦理学家之间的合作对于减轻偏见和透明度至关重要.
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