在人工智能生成的图像中对年龄歧视的概述:纵向比较研究
Lindsey Martens1, Nicole Virgin1, Phillip Hoffarth1
1Department of Geriatrics, School of Medicine and Health Sciences, University of North Dakota, 1301 N Columbia Rd, Grand Forks, ND, 58202, United States, 1 7017774455.
Journal of medical Internet research
|August 13, 2025
概括
生成型人工智能图像工具延续了数字年龄歧视,始终将老年人描绘成白人和中性情绪,尽管社会转向积极的老龄化观点. 这种偏见随着时间的推移而持续,突出了需要更加包容的人工智能发展的需要.
科学领域:
- 人工智能 (AI) 及其对社会的影响.
- 老年学和对衰老的研究.
- 媒体的代表性和偏见.
背景情况:
- 媒体对衰老的积极描绘增强了老年人的健康和寿命.
- 生成性人工智能可能会放大与年龄相关的社会偏见,称为数字年龄主义.
- 需要对人工智能图像中数字时代主义的演变进行研究.
研究的目的:
- 检查随着时间的推移,人工智能生成的老年成年人图像中数字年龄歧视的视觉特征的变化.
- 了解人工智能进步,老龄化态度和数字媒体对老年人的影响之间的相互作用.
主要方法:
- 从DALL-E 2 (2022年与2023年) 的164张人工智能生成图像的纵向比较.
- 使用相同的老年人词典文本提示图像生成.
- 评估人口 (性别,种族,社会经济地位) 和情感特征;使用ANOVA进行分析.
主要成果:
- 在这两年中,主要是白人种族化的老年人被描绘 (5倍高于其他种族).
- 增加了亚裔种族化 (20至31) 和其他种族化个人 (6至14) 的代表性.
- 一致的中产阶级社会经济地位表示;尽管有中性提示,但图像中的中性情感表达.
结论:
- 人工智能图像生成器坚持创造数字年龄主义,尽管有积极的社会衰老叙述.
- 人工智能图像中缺乏改进的情感表现强调了持续的年龄主义视觉特征.
- 调查结果强调需要解决和减轻人工智能产生的内容中的数字年龄歧视.
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