The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Is AI recruiting (un) ethical? A human rights perspective on the use of AI for hiring
Open accessAbstract
The use of artificial intelligence (AI) technologies in organizations' recruiting and selection procedures has become commonplace in business practice; accordingly, research on AI recruiting has increased substantially in recent years. But, though various articles have highlighted the potential opportunities and ethical risks of AI recruiting, the topic has not been normatively assessed yet. We aim to fill this gap by providing an ethical analysis of AI recruiting from a human rights perspective. In doing so, we elaborate on human rights' theoretical implications for corporate use of AI-driven hiring solutions. Therefore, we analyze whether AI hiring practices inherently conflict with the concepts of validity, autonomy, nondiscrimination, privacy, and transparency, which represent the main human rights relevant in this context. Concluding that these concepts are not at odds, we then use existing legal and ethical implications to determine organizations' responsibility to enforce and realize human rights standards in the context of AI recruiting.
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“Many AI-driven recruitment tools have exhibited biases, favoring specific candidates and overlooking job requisites [307,308].”
From AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023) · cites this paper as [307]
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Cited by
Sorted by citations
AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications
Chen, P., Wu, L., & Wang, L. (2023) · Applied Sciences · doi:10.3390/app131810258 · Cited by 155
A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring
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Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures
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Toward Explainable Affective Computing: A Review
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Metadata
- Authors
- Hunkenschroer, A. L., & Kriebitz, A.
- Affiliations
- Technical University of Munich (DE)
- Corresponding author
- Hunkenschroer, Anna Lena
- Venue
- AI and Ethics
- Published
- 2022-07-25
- Volume
- 3
- Issue
- 1
- Pages
- 199-213
- ISSN
- 2730-5953 (ISSN-L)
- 2730-5961
- PMC
- PMC9309597
- OpenAlex
- W4287218595
- Cited by
- 111
- References
- 64
- Citations by year
- 2026: 39 · 2025: 35 · 2024: 25 · 2023: 10 · 2022: 2
- FWCI
- 20.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AI and Ethics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Keywords
- automated hiring, human rights, ethical analysis, validity, autonomy, non-discrimination, privacy, transparency, corporate social responsibility
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