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
    • Research Programs
    • Grants
    • Marlowe (opens in new tab)
    • 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
“AI For Good” Isn’t Good Enough: A Call for Human-Centered AI | Stanford HAI

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

eventLecture

“AI For Good” Isn’t Good Enough: A Call for Human-Centered AI

Status
Past
Date
Tuesday, February 13, 2024 7:30 PM - 9:00 PM PST/PDT
Location
Gates Computer Science Building, Room 119 
Topics
Design, Human-Computer Interaction

In his talk, "AI For Good” Isn’t Good Enough: A Call for Human-Centered AI", Professor James Landay elaborates on his argument for an authentic Human-Centered AI. 

User-centered design integrates techniques that consider the needs and abilities of end users, while also improving designs through iterative user testing. Community-centered design engages communities in the early stages of design through participatory techniques. Societally-centered design forecasts and mediates potential impacts on a societal level throughout a project. 

Successful Human-Centered AI requires the early engagement of multidisciplinary teams beyond technologists, including experts in design, the social sciences and humanities, and domains of interest such as medicine or law, as well as community members.

View Presentation

Share
Link copied to clipboard!
Event Contact
HAI Events Team
stanford-hai@stanford.edu
Related
  • James Landay
    Denning Director, Stanford HAI | Anand Rajaraman and Venky Harinarayan Professor of Computer Science, Stanford University

Related Events

Confronting Our AI Future: Hope, Fear, and the Choices Ahead
ConferenceOct 28, 20269:00 AM - 6:45 PM
October
28
2026

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Conference

Confronting Our AI Future: Hope, Fear, and the Choices Ahead

Oct 28, 20269:00 AM - 6:45 PM

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Marlowe | AI + Data for Science with Dan Yamins
SeminarOct 28, 2026
October
28
2026

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Event

Marlowe | AI + Data for Science with Dan Yamins

Oct 28, 2026

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Olawale (Wale) Salaudeen | On Construct Validity in AI: The Scientific Work We Have Yet to Do
SeminarOct 30, 20261:00 PM - 2:15 PM
October
30
2026

An AI Measurement Science (AIMS) Seminar Series

Event

Olawale (Wale) Salaudeen | On Construct Validity in AI: The Scientific Work We Have Yet to Do

Oct 30, 20261:00 PM - 2:15 PM

An AI Measurement Science (AIMS) Seminar Series