Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2024

Abstract

A key insight from research on organizational justice is that fairness is in the eye of the beholder. With increasing discussions–especially among computer scientists and policymakers–about the potential biases and unfairness of decisions made by Artificial Intelligence (AI) systems, there is a critical need to consider how decision-subjects perceive the fairness of AI-led decision-making. Drawing upon theoretical and empirical perspectives on perceived fairness in organizational justice scholarship, this review categorizes and analyzes perceptions of AI fairness as they impact the effective implementation of AI in workplaces and beyond. Specifically, we review existing empirical research on AI fairness according to distinct dimensions of perceived fairness–distributive, procedural, interpersonal, and informational–with a focus on its potential to inform organizational decision-making. In doing so, we provide new insights and offer directions for future interdisciplinary research in this burgeoning field.

Keywords

Artificial intelligence, Organizational justice, Perceived fairness

Discipline

Industrial and Organizational Psychology | Organizational Behavior and Theory | Psychology

Research Areas

Organisational Behaviour and Human Resources

Publication

International Journal of Human-Computer Interaction

Volume

40

Issue

1

ISSN

1044-7318

Identifier

10.1080/10447318.2023.2210890

Publisher

Taylor and Francis Group

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