Journal Article: “Evidence of a Social Evaluation Penalty For Using AI”

The article linked below was recently published by PNAS (Proceedings of the National Academy of Sciences of the United States of America).

Title

Evidence of a Social Evaluation Penalty For Using AI

Authors

Jessica A. Reif
Duke University

Richard P. Larrick
Duke University

Jack B. Soll
Duke University

Source

PNAS (Proceedings of the National Academy of Sciences of the United States of America)

DOI: 10.1073/pnas.2426766122

Abstract

Despite the rapid proliferation of AI tools, we know little about how people who use them are perceived by others. Drawing on theories of attribution and impression management, we propose that people believe they will be evaluated negatively by others for using AI tools and that this belief is justified. We examine these predictions in four preregistered experiments (N = 4,439) and find that people who use AI at work anticipate and receive negative evaluations regarding their competence and motivation. Further, we find evidence that these social evaluations affect assessments of job candidates. Our findings reveal a dilemma for people considering adopting AI tools: Although AI can enhance productivity, its use carries social costs.

Direct to Full Text Article

See Also: Media Coverage: AI Use Damages Professional Reputation, Study Suggests (via Ars Technica)

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