Reviews

Search results

• Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities

  Vaishnav Kameswaran, Valentina Hong, Jazmin Clark, Yu Hou, Hal Daumé III, Katie Shilton · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  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 and experienced by job seekers…

  disability · AI hiring · surveillance · algorithmic bias · employment

• Toward a taxonomy of negative outcomes from the use of AI-driven systems for people with disabilities

  Krishna Venkatasubramanian, Haven Hardie, Tina-Marie Ranalli · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  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 Incident Monitor, and the Database…

  AI fairness · algorithmic bias · disability rights · AI harm · AI incident databases

• Shared Privacy Concerns of the Visually Impaired and Sighted Bystanders with Camera-Based Assistive Technologies

  Taslima Akter, Tousif Ahmed, Apu Kapadia, Manohar Swaminathan · 2022 · ACM Transactions on Accessible Computing

  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 might be observed. The…

  privacy · visual impairment · camera-based assistive technology · AI ethics · algorithmic bias

• How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?

  Reuben Binns, Reuben Kirkham · 2021 · ACM Transactions on Accessible Computing

  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 other protected…

  AI fairness · disability discrimination · data protection · GDPR · equality law

• Fairness of AI for People with Disabilities: Problem Analysis and Interdisciplinary Collaboration

  Jason J. G. White · 2020 · SIGACCESS Accessibility and Computing

  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 rights law, disability…

  AI fairness · algorithmic bias · disability · social justice · ethics

• Fairness Issues in AI Systems that Augment Sensory Abilities

  Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, Margot Hanley · 2020 · SIGACCESS Accessibility and Computing

  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 available to non-disabled…

  AI fairness · sensory augmentation · visual impairment · deaf and hard of hearing · privacy

• Artificial Intelligence and the Dignity of Risk

  Emily Shea Tanis, Clayton Lewis · 2020 · SIGACCESS Accessibility and Computing

  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 benefits, including the freedom…

  AI fairness · cognitive disability · dignity of risk · privacy · algorithmic bias

• Toward Fairness in AI for People with Disabilities: A Research Roadmap

  Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris · 2020 · SIGACCESS Accessibility and Computing

  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 authors organize their…

  AI fairness · algorithmic bias · disability · computer vision · speech recognition

• A Return to Community: Flintstones or Jetsons?

  Vivienne Conway · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  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 during the early days of the…

  digital accessibility · automation · assistive technology · disability representation · home automation

• Exploring the Performance of Facial Expression Recognition Technologies on Deaf Adults and Their Children

  Irene Rogan Shaffer · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2018)

  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 problem: in ASL and other sign…

  deaf and hard of hearing · sign language · facial expression recognition · emotion recognition · AI fairness

10 results.