Publication Type

Journal Article

Version

publishedVersion

Publication Date

5-2026

Abstract

In this reply to the commentaries by Mirowska (2025), Hickman (2025), and Holtrop and Bronzwaer (2026), we expand on our initial provocation article regarding the effects of candidate use of Generative AI (GenAI) in personnel selection (Lievens and Dunlop, 2025). First, we update the discussion by highlighting recent technological developments (agentic AI and AI-integrated wearables) that accelerate the threat of candidate GenAI use as a substitute for candidate effort. Second, we clarify and build upon our original arguments concerning the effects of candidate GenAI use on construct-related validity and subgroup differences, introducing the concept of “GenAI literacy” as a potential confounding construct. In doing so, we elaborate on the concept of AI-enabled assessment designs. Finally, we integrate the insights from the three commentaries with our own thinking to introduce the FAIR framework (Forbid, Advise, Insulate, Reimagine), which should help employers navigate the complex landscape of candidate GenAI use. The FAIR framework distinguishes between strategies aimed at preventing GenAI misuse and those designed to embrace and integrate GenAI into assessment processes. We conclude that the future of selection lies not in banning candidate GenAI use entirely. Instead, we argue for a strategic shift toward reimagining assessments for an AI-augmented world.

Keywords

Assessment, FAIR framework, generative AI, personnel selection, validity

Discipline

Artificial Intelligence and Robotics | Human Resources Management | Organizational Behavior and Theory

Research Areas

Organisational Behaviour and Human Resources

Publication

International Journal of Selection and Assessment

Volume

34

Issue

2

First Page

1

Last Page

5

ISSN

0965-075X

Identifier

10.1111/ijsa.70060

Publisher

Wiley

Copyright Owner and License

Authors-CC-NC

Additional URL

https://doi.org/10.1111%2Fijsa.70060

Download

Share

COinS