Considerations for Ai Fairness for People with Disabilities
AI MATTERS, VOLUME 5, ISSUE 3 SEPTEMBER 2019 Considerations for AI Fairness for People with Disabilities Shari Trewin (IBM; trewin@us.ibm.com) Sara Basson (Google Inc.; basson@google.com) Michael Muller (IBM Research; michael muller@us.ibm.com) Stacy Branham (University of California, Irvine; sbranham@uci.edu) Jutta Treviranus (OCAD University; jtreviranus@ocadu.ca) Daniel Gruen (IBM Research; daniel gruen@us.ibm.com) Daniel Hebert (IBM; dhebert@us.ibm.com) Natalia Lyckowski (IBM; nladuca@us.ibm.com) Erich Manser (IBM; emanser@us.ibm.com) DOI: 10.1145/3362077.3362086 Abstract Introduction Systems that leverage Artificial Intelligence In society today, people experiencing disabil- are becoming pervasive across industry sec- ity can face discrimination. As artificial intel- tors (Costello, 2019), as are concerns that ligence solutions take on increasingly impor- these technologies can unintentionally ex- tant roles in decision-making and interaction, clude or lead to unfair outcomes for marginal- they have the potential to impact fair treatment ized populations (Bird, Hutchinson, Ken- of people with disabilities in society both pos- thapadi, Kiciman, & Mitchell, 2019)(Cutler, itively and negatively. We describe some of Pribik, & Humphrey, 2019)(IEEE & Sys- the opportunities and risks across four emerg- tems, 2019)(Kroll et al., 2016)(Lepri, Oliver, ing AI application areas: employment, educa- Letouze,´ Pentland, & Vinck, 2018). Initiatives tion, public safety, and healthcare, identified to improve AI fairness for people across racial in a workshop with participants experiencing (Hankerson et al., 2016), gender (Hamidi, a range of disabilities. In many existing situ- Scheuerman, & Branham, 2018a), and other ations, non-AI solutions are already discrimi- identities are emerging, but there has been natory, and introducing AI runs the risk of sim- relatively little work focusing on AI fairness ply perpetuating and replicating these flaws.
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