Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Lindsey Felt: Art, AI, and Disability Futures | Stanford HAI
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

eventSeminar

Lindsey Felt: Art, AI, and Disability Futures

Status
Past
Date
Wednesday, November 30, 2022 10:00 AM - 11:00 AM PST/PDT
Location
Hybrid 
Share
Link copied to clipboard!
Event Contact
Madeleine Wright
mwright7@stanford.edu

Related Events

Zoë Hitzig | How People Use ChatGPT
Mar 09, 202612:00 PM - 1:00 PM
March
09
2026

Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...

Event

Zoë Hitzig | How People Use ChatGPT

Mar 09, 202612:00 PM - 1:00 PM

Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...

Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education
SeminarMar 11, 202612:00 PM - 1:15 PM
March
11
2026
Seminar

Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education

Mar 11, 202612:00 PM - 1:15 PM
Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts
Mar 16, 202612:00 PM - 1:00 PM
March
16
2026

AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...

Event

Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts

Mar 16, 202612:00 PM - 1:00 PM

AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...

HAI Weekly Seminar

Art, AI, and Disability Futures

In this talk, Lindsey D. Felt introduces 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 discusses approaches to human-centered AI art that are designed for self-care, mutual aid, and social justice-informed world-building. Felt and Eifler 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.

Slides for this Presentation

Lindsey FeltLindsey Felt

Leonardo CripTech Incubator Co-founder and Co-director; Lecturer in Program in Writing and Rhetoric, Stanford University

No tweets available.