On the Right to Work in the Age of Artificial Intelligence: Ethical Safeguards in Algorithmic Human Resource Management

Abstract Algorithmic human resource management (AHRM), the automation or augmentation of human resources-related decision-making with the use of artificial intelligence (AI)-enabled algorithms, can increase recruitment efficiency but also lead to discriminatory results and systematic disadvantages for marginalized groups in society. In this paper, we address the issue of equal treatment of workers and their fundamental rights when dealing with these AI recruitment systems. We analyse how and to what extent algorithmic biases can manifest and investigate how they affect workers’ fundamental rights, specifically (1) the right to equality, equity, and non-discrimination ; (2) the right to privacy ; and, finally, (3) the right to work. We recommend crucial ethical safeguards to support these fundamental rights and advance forms of responsible AI governance in HR-related decisions and activities.

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Publication Details

Journal
Business and Human Rights Journal
Published
2024-10-01
DOI
https://doi.org/10.1017/bhj.2024.26
Citations
9
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
10.19
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article

On the Right to Work in the Age of Artificial Intelligence: Ethical Safeguards in Algorithmic Human Resource Management

Marianna Capasso, Payal Arora, Deepshikha Sharma, Celeste Tacconi
9 citations
Business and Human Rights Journal
Digital Economy and Work Transformation
10.19
article

On the Right to Work in the Age of Artificial Intelligence: Ethical Safeguards in Algorithmic Human Resource Management

Marianna Capasso, Payal Arora, Deepshikha Sharma, Celeste Tacconi
article en
9 citations

Abstract

Abstract Algorithmic human resource management (AHRM), the automation or augmentation of human resources-related decision-making with the use of artificial intelligence (AI)-enabled algorithms, can increase recruitment efficiency but also lead to discriminatory results and systematic disadvantages for marginalized groups in society. In this paper, we address the issue of equal treatment of workers and their fundamental rights when dealing with these AI recruitment systems. We analyse how and to what extent algorithmic biases can manifest and investigate how they affect workers’ fundamental rights, specifically (1) the right to equality, equity, and non-discrimination ; (2) the right to privacy ; and, finally, (3) the right to work. We recommend crucial ethical safeguards to support these fundamental rights and advance forms of responsible AI governance in HR-related decisions and activities.

Business and Human Rights JournalVol. 9(3)
Utrecht University (NL), University of the Arts Utrecht (NL), University of Twente (NL)
Reduced inequalities
Openalex Percentile: Top 2%
Digital Economy and Work Transformation
10.19
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