2019/07/04 by Anhong Guo, Ece Kamar, Guo, Anhong +7 · 3 citations
Computer Science · Health Professions · Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Assistive Technology in Communication and Mobility #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #cs.AI #cs.CY #cs.HC
paper · pdf · doi:10.48550/arxiv.1907.02227
ACM ASSETS 2019 Workshop on AI Fairness for People with Disabilities
openalex publication_date 2019/07/04 · arxiv created 2019/08/02 · arxiv updated 2019/08/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
AI technologies have the potential to dramatically impact the lives of people with disabilities (PWD). Indeed, improving the lives of PWD is a motivator for many state-of-the-art AI systems, such as automated speech recognition tools that can caption videos for people who are deaf and hard of hearing, or language prediction algorithms that can augment communication for people with speech or cognitive disabilities. However, widely deployed AI systems may not work properly for PWD, or worse, may actively discriminate against them. These considerations regarding fairness in AI for PWD have thus far received little attention. In this position paper, we identify potential areas of concern regarding how several AI technology categories may impact particular disability constituencies if care is not taken in their design, development, and testing. We intend for this risk assessment of how various classes of AI might interact with various classes of disability to provide a roadmap for future research that is needed to gather data, test these hypotheses, and build more inclusive algorithms.