Personnel Psychology's 40 Questions Series: Artificial Intelligence

Emily D. Campion; Scott Tonidandel

doi:10.1111/peps.70031

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Personnel Psychology's 40 Questions Series: Artificial Intelligence

Journal article

Open access

Peer reviewed

Personnel Psychology's 40 Questions Series: Artificial Intelligence

Emily D. Campion and Scott Tonidandel

Personnel psychology, Vol.79(3), pp.353-369

05/19/2026

DOI: 10.1111/peps.70031

Appears in UI Libraries Support Open Access

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Abstract

In this article, we present a curated set of 40 questions on Artificial Intelligence (AI) to address its rapidly evolving role in Industrial/Organizational (I/O) Psychology, Human Resources (HR), and Organizational Behavior (OB) research and practice. We solicited questions from our professional networks and organized the responses into themes: what AI is, its technical components, emerging best practices for AI in research, guidance for reviewing AI‐based work, and using AI in reviewing. This is intended to be a sufficiently extensive, though not comprehensive, overview of AI and its use in our field.

Machine Learning

artificial intelligence

large language models

UIOWA OA Agreement

Details

Title: Subtitle: Personnel Psychology's 40 Questions Series: Artificial Intelligence
Creators: Emily D. Campion - University of Iowa
Scott Tonidandel - University of North Carolina at Charlotte
Resource Type: Journal article
Publication Details: Personnel psychology, Vol.79(3), pp.353-369
DOI: 10.1111/peps.70031
ISSN: 0031-5826
eISSN: 1744-6570
Publisher: Wiley
Language: English
Electronic publication date: 05/19/2026
Academic Unit: Management and Entrepreneurship
Record Identifier: 9985164721102771

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