June 21, 2021
-
1
minute read

How To Secure AI Systems @ Stanford MLSys Seminar

As organizations adopt AI technologies they inherit AI failures. These failures often manifest themselves in AI models that produce erroneous predictions that go undetected. In Stanford MLSys Seminar 2021, Robust Intelligence Co-founder & CEO Yaron Singer discusses root causes for AI models going haywire, and present a rigorous framework for eliminating risk from AI. He shows how this methodology can be used as building blocks for continuous testing and firewall systems for AI.

June 21, 2021
-
1
minute read

How To Secure AI Systems @ Stanford MLSys Seminar

As organizations adopt AI technologies they inherit AI failures. These failures often manifest themselves in AI models that produce erroneous predictions that go undetected. In Stanford MLSys Seminar 2021, Robust Intelligence Co-founder & CEO Yaron Singer discusses root causes for AI models going haywire, and present a rigorous framework for eliminating risk from AI. He shows how this methodology can be used as building blocks for continuous testing and firewall systems for AI.

Blog

Related articles

December 21, 2023
-
4
minute read

AI Governance Policy Roundup (December 2023)

For:
November 16, 2021
-
4
minute read

Zillow iBuying: What Happened and Lessons Learned

For:
February 10, 2022
-
4
minute read

Bias in Hiring, the EEOC, and How RI Can Help

For:
Compliance Teams
No items found.