Intersectional Philosophy of Technology Speaker Series
Session 4: “Automating Autism” with Os Keyes
13 June 2023 16:00 till 17:30 - Location: TPM, Room B.1 300 | Add to my calendar
As Artificial Intelligence (AI) systems shift to interact with new domains and populations, so does AI ethics: a relatively nascent subdiscipline that frequently concerns itself with questions of “fairness” and “accountability.” This fairness-centred approach has been criticized for (amongst other things) lacking the ability to address discursive, rather than distributional, injustices. In this paper I simultaneously validate these concerns, and work to correct the relative silence of both conventional and critical AI ethicists around disability, by exploring the narratives deployed by AI researchers in discussing and designing systems around autism.
Demonstrating that these narratives frequently perpetuate a dangerously dehumanizing model of autistic people, I explore the material consequences this might have. More importantly, I highlight the ways in which discursive harms—particularly discursive harms around dehumanization—are not simply inadequately handled by conventional AI ethics approaches, but actively invisible to them. I urge AI ethicists to critically and immediately begin grappling with the likely consequences of an approach to ethics which focuses on personhood and agency, in a world in which many populations are treated as having neither. I suggest that this issue requires a substantial revisiting of the underlying premises of AI ethics, and point to some possible directions in which researchers and practitioners might look for inspiration.
Os Keyes is a doctoral student in the Department of Human Centered Design & Engineering Program at the University of Washington. They have a background in law, data science and data ethics. Their research interests include: 1) the way gender is encoded into technology, and its social and ethical implications; 2) Data ethics and their viability under different political frameworks; 3) classification systems and the tensions of negotiating them in design. They are currently researching the way gender is built into physical and virtual infrastructure and the implications this has for trans users.