Ram Shankar Siva Kumar | A Few Useful Lessons about AI Red Teaming | 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

eventSeminar

Ram Shankar Siva Kumar | A Few Useful Lessons about AI Red Teaming

Status
Past
Date
Wednesday, October 18, 2023 10:00 AM - 11:00 AM PST/PDT
Location
Hybrid

AI red teaming is exploding in popularity: At DEF CON this year, more than 2,500 hackers descended to red-team AI systems. Every organization investing in AI—from Microsoft to Google to Meta to NVIDIA—has AI red teams to actively secure their AI systems

Share
Link copied to clipboard!
Event Contact
Madeleine Wright
mwright7@stanford.edu

Related Events

Eyck Freymann | AI and Strategic Stability: A Framework for U.S.–China Technology Competition
SeminarMay 27, 202612:00 PM - 1:15 PM
May
27
2026

Strategic stability exists when neither side thinks it can improve its strategic outcome by striking first.

Seminar

Eyck Freymann | AI and Strategic Stability: A Framework for U.S.–China Technology Competition

May 27, 202612:00 PM - 1:15 PM

Strategic stability exists when neither side thinks it can improve its strategic outcome by striking first.

2026 RAISE Health Symposium
Jun 02, 2026
June
02
2026

The 2026 RAISE Health Symposium will convene leading voices in technology, medicine, and policy to explore what’s real, what’s next, and what’s needed to ensure AI advances responsibly and benefits all. Registration opens March 11.

Event

2026 RAISE Health Symposium

Jun 02, 2026

The 2026 RAISE Health Symposium will convene leading voices in technology, medicine, and policy to explore what’s real, what’s next, and what’s needed to ensure AI advances responsibly and benefits all. Registration opens March 11.

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.

But what does it even mean to red-team AI systems? Grounded in case studies from Microsoft, Siva Kumar contextualizes how red-teaming AI systems differs from red-teaming traditional software systems, discusses how it intersects with previous lines of inquiry such as adversarial examples, and distills eight lessons from a practitioner’s perspective. 

Speaker
Ram Shankar Siva Kumar
Data Cowboy, Microsoft; Author, "Not With a Bug"

Watch Event Recording