人类和深度网络中不同种族面孔的神经反应的独特模式
Ao Wang1,2, Magdalena W Sliwinska1,3, David M Watson1
1Department of Psychology, University of York, York YO10 5DD, UK.
Social cognitive and affective neuroscience
|October 14, 2023
概括
人类和人工神经网络对不同种族的面孔表现出不同的反应. 这些神经差异可能解释了为什么人们更容易识别同种族的面孔.
科学领域:
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
- 心理学 心理学 心理学
背景情况:
- 面部外观是社会类别 (如种族) 的首要提示.
- 了解人类和人工智能如何处理种族至关重要.
研究的目的:
- 研究人类和人工神经网络中的面部外观种族差异的表现.
- 探索自身种族在人脸识别方面的优势的神经基础.
主要方法:
- 训练用于面部身份歧视的神经网络被用来比较种族面部相似性.
- 用功能磁共振成像 (fMRI) 来测量面部选择性区域的大脑活动,以应对不同种族的面部.
- 从人类参与者那里收集了面部身份的行为判断.
主要成果:
- 种族群体之间的差异在人工神经网络的后期层中最为明显.
- 人工网络在预测人类判断方面的表现显示出对白人的偏见.
- 在不同种族群体的面部选择性大脑区域观察到神经反应的独特模式.
- 与其他种族的面孔相比,对于自己种族的面孔,神经反应模式在参与者之间更一致.
结论:
- 人类和人工神经网络都表现出不同种族群体面部的差异处理.
- 这些特定于种族的神经表征可能是分类判断的基础,以及在人脸识别方面观察到自己的种族优势.
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