AI & Accessibility: Ethical Considerations | Stanford HAI
Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
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
  • AI Glossary
  • 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

Your browser does not support the video tag.
eventSeminar

AI & Accessibility: Ethical Considerations

Status
Past
Date
Tuesday, April 30, 2019 2:00 PM - 3:00 PM PST/PDT
Topics
Ethics, Equity, Inclusion

According to the World Health Organization, more than one billion people worldwide have disabilities. The field of disability studies defines disability through a social lens, which considers people disabled to the extent that society creates accessibility barriers.

Share
Link copied to clipboard!
Event Contact
celia.clark@stanford.edu
650-725-4537

Related Events

Juan Sebastián Gómez-Cañón | Challenges And Opportunities For Human-Centered Music Emotion Recognition
SeminarJun 03, 202612:00 PM - 1:15 PM
June
03
2026

Music is intertwined with human emotion, memory, and identity, making it a powerful medium for affective experience and regulation.

Seminar

Juan Sebastián Gómez-Cañón | Challenges And Opportunities For Human-Centered Music Emotion Recognition

Jun 03, 202612:00 PM - 1:15 PM

Music is intertwined with human emotion, memory, and identity, making it a powerful medium for affective experience and regulation.

Arvind Narayanan | Adapting to the Transformation of Knowledge Work
May 18, 202612:00 PM - 1:00 PM
May
18
2026

The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.

Event

Arvind Narayanan | Adapting to the Transformation of Knowledge Work

May 18, 202612:00 PM - 1:00 PM

The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.

Inside the 2026 AI Index Report | Stanford HAI
SeminarMay 20, 202612:00 PM - 1:15 PM
May
20
2026

The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

Seminar

Inside the 2026 AI Index Report | Stanford HAI

May 20, 202612:00 PM - 1:15 PM

The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

For example, computer vision might give people who are blind a better sense of the visual world, speech recognition and translation technologies might offer real-time captioning for people who are hard of hearing, and new robotic systems might augment the capabilities of people with mobility restrictions. Considering the needs of users with disabilities can help technologists identify high-impact challenges whose solutions can advance the state of AI for all users. At the same time, ethical challenges such as inclusion, bias, privacy, error, expectation setting, simulated data, and social acceptability must be considered. In this lecture, I will define these seven challenges, provide examples of how they relate to AI for Accessibility technologies, and discuss future considerations in this space.