Publication Type

Journal Article

Version

publishedVersion

Publication Date

6-2024

Abstract

Artificial intelligence (AI) tools used in employment decision-making cut across the multiple stages of job advertisements, shortlisting, interviews and hiring, and actual and potential bias can arise in each of these stages. One major challenge is to mitigate AI bias and promote fairness in opaque AI systems. This paper argues that the equal opportunity merit principle is an ethical approach for fair AI employment decision-making. Further, explainable AI can mitigate the opacity problem by placing greater emphasis on enhancing the understanding of reasonable users (employing organisations) and affected persons (employees and job candidates) as to the AI output. Both the equal opportunity merit principle and explainable AI should be integrated in the design and implementation of AI employment decision-making systems so as to ensure, as far as possible, that the AI output is arrived at through a fair process.

Keywords

Artificial intelligence, Employment decision-making, Bias, Fairness, Equal opportunity, Merit, Explainable AI

Discipline

Artificial Intelligence and Robotics | Labor and Employment Law

Research Areas

Asian and Comparative Legal Systems; Private Law

Publication

AI and Society

Volume

39

Issue

3

First Page

1027

Last Page

1038

ISSN

0951-5666

Identifier

10.1007/s00146-022-01532-w

Publisher

Springer

Additional URL

https://doi.org/10.1007/s00146-022-01532-w

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