Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis
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Abstract (arXiv)
Tackling algorithmic discrimination against persons with disabilities (PWDs) demands a distinctive approach that is fundamentally different to that applied to other protected characteristics, due to particular ethical, legal, and technical challenges. We address these challenges specifically in the context of artificial intelligence (AI) systems used in hiring processes (or automated hiring systems, AHSs), in which automated assessment procedures are subject to unique ethical and legal considerations and have an undeniable adverse impact on PWDs. In this paper, we discuss concerns and opportunities raised by AI-driven hiring in relation to disability discrimination. Ultimately, we aim to encourage further research into this topic. Hence, we establish some starting points and design a roadmap for ethicists, lawmakers, advocates as well as AI practitioners alike.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Jun 2022.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 3; 2025: 2; 2026: 2.
10 papers.
- 2022Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesiscited by 29
- 2022Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Makingcited by 25
- 2024Lazy Data Practices Harm Fairness Researchcited by 10
- 2023Challenges and Solutions in AI for Allcited by 3
- 2024Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshopcited by 1
- 2025"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergencecited by 1
- 2024FairGridSearch: A Framework to Compare Fairness-Enhancing Modelscited by 0
- 2025Prompt injections as a tool for preserving identity in GAI image descriptionscited by 0
- 2026Unheard in the Digital Age: Rethinking AI Bias and Speech Diversitycited by 0
- 2026How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applicationscited by 0
- 2026How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications24 Apr 2026
- 2026Unheard in the Digital Age: Rethinking AI Bias and Speech Diversity26 Jan 2026
- 2025Prompt injections as a tool for preserving identity in GAI image descriptions17 Oct 2025
- 2025"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence12 Jun 2025
- 2024Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop9 Nov 2024
- 2024Lazy Data Practices Harm Fairness Research26 Apr 2024
- 2024FairGridSearch: A Framework to Compare Fairness-Enhancing Models4 Jan 2024
- 2023Challenges and Solutions in AI for All20 Jul 2023
- 2022Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making23 Sep 2022
- 2022Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis19 Sep 2022