概括
肖像画中的姿势偏见是真实的,不仅仅是抽样错误. 在真实肖像上训练的生成AI模型重现了这些偏见,证实了它们的存在,并揭示了对AI能力的洞察力.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 艺术心理学 艺术心理学
背景情况:
- 对肖像画的研究表明存在摆姿偏见.
- 这些偏差的存在一直受到争论,有些人将其归因于采样文物.
研究的目的:
- 为了调查在肖像画中呈现偏见的现实.
- 利用生成性人工智能 (AI) 来检测视觉数据中的偏差.
主要方法:
- 利用当代的人工智能应用程序生成现实的虚拟肖像.
- 训练了一个神经网络在真人肖像的大数据集上,以捕获数据变异.
- 通过从输入数据中获得的生成模型合成虚拟肖像.
主要成果:
- 原始数据集中存在的姿势偏差在合成的虚拟肖像中可以观察到.
- 这些发现表明,生成网络从其培训数据中复制偏见.
结论:
- 为肖像画中摆姿偏见的存在提供了新的经验支持.
- 提供了对生成人工智能模型内部运作和数据处理能力的见解.
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