On the Right to Work in the Age of Artificial Intelligence
Ethical Safeguards in Algorithmic Human Resource Management
Bibliographic Data
| ID | 13019277 |
|---|---|
| Authors | Marianna Capasso (0000-0003-0005-2356, Utrecht University, corresponding author), Payal Arora (0000-0002-3578-340X, Utrecht University), Deepshikha Sharma (0009-0008-1803-4432, University of Twente), Celeste Tacconi |
| Year | 2024 |
| Volume | 9 |
| Issue | 3 |
| Pages | 346-360 |
| Publication date | 2024-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Business and Human Rights Journal (JOURNAL) |
| Journal identifiers | ISSN: 2057-0198 • E-ISSN: 2057-0201 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/bhj.2024.26 |
| OpenAlex | W4406105119 |
| Language | EN |
| Citations received | 3 |
| References cited | 32 |
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
Affect (linguistics · Automation · Corporate governance · Economics · Equity (law · Fundamental rights · Human resource management · Human rights · Knowledge management · Management · Political science · Right to work · Work (physics · Computer Science · Digital Economy and Work Transformation · Engineering · Ethics and Social Impacts of AI · Free Will and Agency · Law · Psychology
Discriminated by an algorithm
Big Data's Disparate Impact
The Oxford Handbook of Human Resource Management
Mapping the evolution of algorithmic HRM (AHRM)
Ethics and discrimination in artificial intelligence-enabled recruitment practices
Disability, fairness, and algorithmic bias in AI recruitment
From human resources to human rights
Algorithmic management and collective bargaining
Worker voice and algorithmic management in post-Brexit Britain
Ethics of AI-Enabled Recruiting and Selection
Group Privacy
From Individual to Group Privacy in Big Data Analytics
How to protect privacy in a datafied society? A presentation of multiple legal and conceptual approaches
Algorithmic Political Bias in Artificial Intelligence Systems
How the Right to Privacy Became a Human Right
Shapes and frictions of synthetic data
Data for queer lives
| Citations per year | 3 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |