人工智能系统中种族的表现和后果
1Virginia Tech, Department of Marketing, USA.
Current opinion in psychology
|July 5, 2024
概括
本综述定义了人工智能 (AI) 系统中的种族,强调了当前固定类别如何未能捕捉到社会意义. 它为人工智能中更适当的种族整合提供了建议,以防止不敏感或不准确的处理.
科学领域:
- 计算机科学 计算机科学
- 社会学 社会学 社会学
- 伦理学 伦理学 伦理学
背景情况:
- 人工智能 (AI) 系统越来越多地在各种应用中纳入了种族.
- 当前的人工智能种族表示通常不敏感,不准确,缺乏适当的定义.
- 现有的AI模型将种族视为固定的类别,忽视其复杂的社会意义.
研究的目的:
- 在AI系统的背景下定义种族.
- 分析目前在AI中种族是如何被代表的.
- 探索这些表示的后果,并提出改进建议.
主要方法:
- 对包含种族的AI系统的文献评论.
- 在AI中对种族定义和表征的分析.
- 对人工智能比赛处理对社会影响的检查.
主要成果:
- 人种在AI中经常被使用,但定义不好,通常是简单的类别.
- 人工智能中的不准确或不敏感的种族表征可能会导致严重的社会伤害.
- 当前的人工智能实践无法解释种族的微妙社会构造.
结论:
- 在AI中定义和代表种族的更细微和更有社会意识的方法至关重要.
- 为开发更适当,更道德地处理种族的AI系统提供了建议.
- 解决AI对种族理解的局限性对于公平的技术部署至关重要.
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