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