Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
10 results found tagged algorithmic bias.
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Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities
This CHI 2026 paper reports a qualitative study of how AI-driven hiring interview platforms — asynchronous video interview tools (e.g., HireVue) that use AI to score candidates on facial expressions, vocal cues, and behavioural data — are perceived a…
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How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?
This interdisciplinary paper examines how UK equality law and EU data protection law (GDPR) intersect with AI fairness for people with disabilities (PWD). The authors argue that AI fairness for PWD requires a fundamentally different approach than for…
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Shared Privacy Concerns of the Visually Impaired and Sighted Bystanders with Camera-Based Assistive Technologies
This paper investigates the privacy and ethical concerns surrounding camera-based assistive technologies (like smart glasses) from two perspectives: people with visual impairments (PVIs) as technology wearers and sighted people as bystanders who migh…
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Exploring the Performance of Facial Expression Recognition Technologies on Deaf Adults and Their Children
This Boston University student research paper investigates how commercial facial expression recognition services perform on Deaf ASL signers and Children of Deaf Adults (CODAs) compared to hearing non-signers. The study is motivated by a critical pro…
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A Return to Community: Flintstones or Jetsons?
This keynote-style paper uses the cultural lens of two iconic 1960s cartoons — The Flintstones and The Jetsons — to reflect on how automation and technology are shaping the lives of people with disabilities. Dr. Conway, writing from Western Australia…
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Toward a taxonomy of negative outcomes from the use of AI-driven systems for people with disabilities
This paper presents the first systematic taxonomy of how AI-driven systems create negative outcomes specifically for people with disabilities. The authors searched eight publicly available AI incident databases — including AIAAIC, AIID, OECD AI Incid…
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Toward Fairness in AI for People with Disabilities: A Research Roadmap
This position paper from Microsoft Research presents a systematic risk assessment of how major categories of AI systems may fail or discriminate against people with disabilities, proposing a four-point research roadmap for increasing AI fairness. The…
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Artificial Intelligence and the Dignity of Risk
This paper examines the dual risks and opportunities that AI-based systems pose for people with cognitive disabilities, framed around the concept of the "dignity of risk" — the right to make self-directed choices about tradeoffs between risks and ben…
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Fairness Issues in AI Systems that Augment Sensory Abilities
This paper examines the unique fairness challenges that arise when AI systems are used to augment sensory abilities for people with disabilities — a context distinct from other AI applications because these systems provide information that is already…
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Fairness of AI for People with Disabilities: Problem Analysis and Interdisciplinary Collaboration
This paper provides a philosophical analysis of the fairness challenges that machine learning-based AI poses for people with disabilities, arguing that these challenges demand unprecedented interdisciplinary collaboration across applied ethics, human…