幽默作为一个窗口,进入生成人工智能偏见
Roger Saumure1, Julian De Freitas2, Stefano Puntoni3
1Department of Marketing, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. saumure@wharton.upenn.edu.
Scientific reports
|January 8, 2025
概括
生成性AI图像幽默可以无意中增加歧视. 使人工智能生成的图像变得更有趣,减少了刻板印象的种族和性别群体的代表性,但增加了老年人,视力障碍者和高体重群体的代表性.
科学领域:
- 人工智能的人工智能
- 计算机科学 计算机科学
- 社会科学 社会科学 社会科学
背景情况:
- 生成型人工智能越来越多地用于面向消费者的应用.
- 人工智能驱动的幽默对社会偏见的影响尚不清楚.
- 以前的研究还没有系统地检查人工智能幽默对群体代表性的影响.
研究的目的:
- 研究人工智能中幽默生成与歧视之间的关系.
- 分析人工智能对幽默的图像修改如何影响各种人口群体的代表性.
- 通过幽默来审计生成AI的输出,以检查通过幽默引入的潜在偏见.
主要方法:
- 一个预先注册的审计600个AI产生的图像.
- 利用了150个不同的提示来生成图像.
- 分析了当图像被ChatGPT.PT"变得更有趣"时,刻板印象群体的流行率的变化.
主要成果:
- 人工智能中的幽默产生导致了刻板印象群体的代表性的转变.
- 对于种族和性别的刻板印象群体不太可能在"更有趣"的图像中被代表.
- 对于年龄,视力障碍和体重的刻板印象群体更有可能被代表.
结论:
- 人工智能驱动的幽默可以无意中延续或引入新的歧视形式.
- 在人工智能系统中追求幽默需要仔细考虑它对边缘化群体的影响.
- 需要进一步的研究来开发既有吸引力又公平的AI.
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