Singapore Management University, 50 Stamford Road, 178889, Singapore.
Virginia Tech, 880 West Campus Drive, Blacksburg, VA 24061, USA.
Curr Opin Psychol. 2024 Aug;58:101815. doi: 10.1016/j.copsyc.2024.101815. Epub 2024 Jun 21.
Facial inference, a cornerstone of person perception, has traditionally been studied through human judgments about personality traits and abilities based on people's faces. Recent advances in artificial intelligence (AI) have introduced new dimensions to this field, employing machine learning algorithms to reveal people's character, capabilities, and social outcomes based just on their faces. This review examines recent research on human and AI-based facial inference across psychology, business, computer science, legal, and policy studies to highlight the need for scientific consensus on whether or not people's faces can reveal their inner traits, and urges researchers to address the critical concerns around epistemic validity, practical relevance, and societal welfare before recommending AI-based facial inference for consequential uses.
面部推断是人物感知的基石,传统上是通过人类根据人们的面部来判断人格特质和能力来研究的。人工智能 (AI) 的最新进展为该领域带来了新的维度,它使用机器学习算法仅根据人的面部来揭示人的性格、能力和社会结果。本综述考察了心理学、商业、计算机科学、法律和政策研究中基于人类和人工智能的面部推断的最新研究,以强调是否需要就人的面部是否可以揭示其内在特征达成科学共识,并敦促研究人员在推荐基于人工智能的面部推断用于重要用途之前,解决关于认识有效性、实际相关性和社会福利的关键问题。