人工智能图像生成器对健康衰老和阿尔茨海默病的描述中的偏见
Channah Osinga1, Natcha Jintaganon2, Dirk Steijger3
1Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, 1081 BT, the Netherlands.
Journal of the American Medical Informatics Association : JAMIA
|October 27, 2025
概括
像DALL-E 3和Midjourney这样的人工智能 (AI) 图像生成器可能会延续老年人和痴呆症患者的刻板印象. 建议进行仔细的提示选择,以减轻人工智能生成的有偏见和污名化的图像.
科学领域:
- 人工智能的人工智能
- 计算机视觉 计算机视觉
- 老年学是指老年学的学科.
背景情况:
- 生成性人工智能工具越来越多地在各个部门中使用.
- 有限的研究存在于人工智能图像生成偏见,特别是关于弱势群体.
- 人工智能有可能通过生成的图像来延续刻板印象和污名化.
研究的目的:
- 调查DALL-E 3和Midjourney在图像生成中的潜在偏差.
- 分析人工智能对老年人和患有痴呆症的人的描绘.
- 确定人工智能模型如何强化刻板印象和污名化.
主要方法:
- 来自DALL-E 3和Midjourney的1056张AI生成图像的内容分析.
- 使用提示生成的图像用于一般老年人,与痴呆相关的场景和对照.
- 对图像特征的盲目和随机分析,如影响,设置和对象描绘.
主要成果:
- 与对照人群相比,在老年人和痴呆症患者的AI描述中观察到显著的差异.
- 与痴呆相关的提示往往导致负面的情感影响描绘.
- 与Midjourney相比,DALL-E 3在输出中表现出更大的多样性,并为痴呆症提示产生了更积极的影响人群.
结论:
- 人工智能图像生成工具可以加强污名化的刻板印象.
- 谨慎的提示工程至关重要,以避免负面和偏见的描述.
- 建议倡导人工智能可解释性和包容性设计,以减轻偏见.
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