{"title":"Predicting personality or prejudice? Facial inference in the age of artificial intelligence","authors":"Shilpa Madan , Gayoung Park","doi":"10.1016/j.copsyc.2024.101815","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":48279,"journal":{"name":"Current Opinion in Psychology","volume":"58 ","pages":"Article 101815"},"PeriodicalIF":6.3000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Psychology","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352250X24000289","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Current Opinion in Psychology is part of the Current Opinion and Research (CO+RE) suite of journals and is a companion to the primary research, open access journal, Current Research in Ecological and Social Psychology. CO+RE journals leverage the Current Opinion legacy of editorial excellence, high-impact, and global reach to ensure they are a widely-read resource that is integral to scientists' workflows.
Current Opinion in Psychology is divided into themed sections, some of which may be reviewed on an annual basis if appropriate. The amount of space devoted to each section is related to its importance. The topics covered will include:
* Biological psychology
* Clinical psychology
* Cognitive psychology
* Community psychology
* Comparative psychology
* Developmental psychology
* Educational psychology
* Environmental psychology
* Evolutionary psychology
* Health psychology
* Neuropsychology
* Personality psychology
* Social psychology