HAI Weekly Seminar with Lindsey Felt

Wed November 30th 2022, 10:00 - 11:00am
Event Sponsor
Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Gates Computer Science Building
353 Jane Stanford Way, Stanford, CA 94305

Join us for a 1-hour discussion with Stanford University Lecturer for the Program in Writing and Rhetoric, Lindsey Felt. 


Art, AI, and Disability Futures


In this talk, Lindsey D. Felt will introduce a framework that locates disability innovation, artistry, and crip politics as central to the development of AI and technology. From M Eifler’s Prosthetic Memory to Paola Prestini’s Sensorium Ex, these examples of AI art highlight the erasures of disability from training data and refuse AI’s optimization against disability. Historically, technologies have been designed to diagnose, rehabilitate, normalize, and even cure disabilities. Though this approach has arguably improved the quality of life for many disabled people, it codes disability as an “undesirable” and “outlier” trait, operating on the false premise of a “norm” that is not reflective of the human condition’s heterogeneity. Researchers have demonstrated how machine learning tools are mirroring this trajectory, from autonomous vehicles that don’t recognize wheelchair users, to Natural Language Processing models that classify texts mentioning disability as more “toxic.” These biases are equally important to consider alongside racial and gender inequities for their wide-ranging social implications.

In conversation with artist-technologist M Eifler, Felt will discuss approaches to human-centered AI art that are designed for self-care, mutual aid, and social justice-informed world-building. We will consider Prosthetic Memory, a digital memory bank created by Eifler that uses machine learning to retrieve self-recorded videos for the artist to navigate their memory dysregulation. Sensorium Ex, an experimental AI opera that introduces a new composite voice from an algorithm trained on non-normative speech patterns, similarly models the possibilities for a non-ableist AI. These works reflect the yearning for what scholar Alison Kafer calls “crip futurity,” a future where disabled people’s experiences, practices, stories, and ways of knowing are valued.