Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
David Magnus: How will artificial intelligence impact medical ethics? | 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

Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
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
news

David Magnus: How will artificial intelligence impact medical ethics?

Date
February 04, 2019
Topics
Healthcare
Human Reasoning
Machine Learning
Your browser does not support the video tag.

In recent years, the explosion of artificial intelligence in medicine has yielded an increase in hope for patient outcomes, balanced by an equal concern for ethical implications.​

Share
Link copied to clipboard!
Contributor(s)
the ​Stanford Engineering Staff

Related News

AI Reveals How Brain Activity Unfolds Over Time
Andrew Myers
Jan 21, 2026
News
Medical Brain Scans on Multiple Computer Screens. Advanced Neuroimaging Technology Reveals Complex Neural Pathways, Display Showing CT Scan in a Modern Medical Environment

Stanford researchers have developed a deep learning model that transforms overwhelming brain data into clear trajectories, opening new possibilities for understanding thought, emotion, and neurological disease.

News
Medical Brain Scans on Multiple Computer Screens. Advanced Neuroimaging Technology Reveals Complex Neural Pathways, Display Showing CT Scan in a Modern Medical Environment

AI Reveals How Brain Activity Unfolds Over Time

Andrew Myers
HealthcareSciences (Social, Health, Biological, Physical)Jan 21

Stanford researchers have developed a deep learning model that transforms overwhelming brain data into clear trajectories, opening new possibilities for understanding thought, emotion, and neurological disease.

AI Leaders Discuss How To Foster Responsible Innovation At TIME100 Roundtable In Davos
TIME
Jan 21, 2026
Media Mention

HAI Senior Fellow Yejin Choi discussed responsible AI model training at Davos, asking, “What if there could be an alternative form of intelligence that really learns … morals, human values from the get-go, as opposed to just training LLMs on the entirety of the internet, which actually includes the worst part of humanity, and then we then try to patch things up by doing ‘alignment’?” 

Media Mention
Your browser does not support the video tag.

AI Leaders Discuss How To Foster Responsible Innovation At TIME100 Roundtable In Davos

TIME
Ethics, Equity, InclusionGenerative AIMachine LearningNatural Language ProcessingJan 21

HAI Senior Fellow Yejin Choi discussed responsible AI model training at Davos, asking, “What if there could be an alternative form of intelligence that really learns … morals, human values from the get-go, as opposed to just training LLMs on the entirety of the internet, which actually includes the worst part of humanity, and then we then try to patch things up by doing ‘alignment’?” 

Stanford’s Yejin Choi & Axios’ Ina Fried
Axios
Jan 19, 2026
Media Mention

Axios chief technology correspondent Ina Fried speaks to HAI Senior Fellow Yejin Choi at Axios House in Davos during the World Economic Forum.

Media Mention
Your browser does not support the video tag.

Stanford’s Yejin Choi & Axios’ Ina Fried

Axios
Energy, EnvironmentMachine LearningGenerative AIEthics, Equity, InclusionJan 19

Axios chief technology correspondent Ina Fried speaks to HAI Senior Fellow Yejin Choi at Axios House in Davos during the World Economic Forum.