Affiliation:
1. Human Centered Design & Engineering, University of Washington
Abstract
Work integrating conversations around AI and Disability is vital and valued, particularly when done through a lens of fairness. Yet at the same time, analysing the ethical implications of AI for disabled people solely through the lens of a singular idea of "fairness" risks reinforcing existing power dynamics, either through reinforcing the position of existing medical gatekeepers, or promoting tools and techniques that benefit otherwise-privileged disabled people while harming those who are rendered outliers in multiple ways. In this paper we present two case studies from within computer vision - a subdiscipline of AI focused on training algorithms that can "see" - of technologies putatively intended to help disabled people but, through failures to consider structural injustices in their design, are likely to result in harms not addressed by a "fairness" framing of ethics. Drawing on disability studies and critical data science, we call on researchers into AI ethics and disability to move beyond simplistic notions of fairness, and towards notions of justice.
Publisher
Association for Computing Machinery (ACM)
Reference37 articles.
1. What Is the Point of Equality?
2. Increased accessibility to nonverbal communication through facial and expression recognition technologies for blind/visually impaired subjects
3. Olivia Banner. 2019. Technopsyence and Afro-Surrealism's Cripistemologies. Catalyst: Feminism Theory Technoscience. 5 1 (2019). 10.28968/cftt.v5i1.29612 Olivia Banner. 2019. Technopsyence and Afro-Surrealism's Cripistemologies. Catalyst: Feminism Theory Technoscience. 5 1 (2019). 10.28968/cftt.v5i1.29612
4. Underdiagnosis and Referral Bias of Autism in Ethnic Minorities
5. Making Facial Expressions of Emotions Accessible for Visually Impaired Persons
Cited by
28 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献