Publication Type

Journal Article

Version

submittedVersion

Publication Date

8-2024

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.

Keywords

facial inference, facial profiling, artificial intelligence, machine learning, bias, privacy

Discipline

Artificial Intelligence and Robotics | Marketing | Organizational Behavior and Theory

Research Areas

Marketing

Publication

Current Opinion in Psychology

Volume

58

First Page

1

Last Page

6

ISSN

2352-250X

Identifier

10.1016/j.copsyc.2024.101815

Publisher

Elsevier

Embargo Period

8-19-2024

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1016/j.copsyc.2024.101815

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