In AI We Trust?

Krishnaram is the Chief Scientist of Fiddler AI, an enterprise startup building a responsible AI and Machine Learning monitoring platform. Prior to Fiddler AI, Krishnaram has served as Principal Scientist at Amazon AWS AI, on the LinkedIn AI team, and on Microsoft's AI and Ethics in Engineering and Research (AETHER) Advisory Board. In this episode, Krishanaram warns of the importance of not simply performing the important task of model validation but continuing to test it post-deployment. He also highlights incentives to test your AI early and often: even without new laws in place, empowered and tech-savvy citizens are increasingly taking audits into their own hands.

Show Notes

Krishnaram is the Chief Scientist of Fiddler AI, an enterprise startup building a responsible AI and Machine Learning monitoring platform. Prior to Fiddler AI, Krishnaram has served as Principal Scientist at Amazon AWS AI, on the LinkedIn AI team, and on Microsoft's AI and Ethics in Engineering and Research (AETHER) Advisory Board. In this episode, Krishanaram warns of the importance of not simply performing the important task of model validation but continuing to test it post deployment. He also highlights incentives to test your AI early and often: even without new laws in place, empowered and tech-savvy citizens are increasingly taking audits into their own hands.

— Subscribe to catch each new episode on Apple, Spotify and all major platforms. To learn more about EqualAI, visit our website: https://www.equalai.org/ and follow us on Twitter: @ai_equal.

What is In AI We Trust??

In AI We Trust? is a podcast with Miriam Vogel of EqualAI and Kay Firth-Butterfield of the Centre for Trustworthy Technology that surveys the global landscape for inspiration and lessons in developing responsible, trustworthy artificial intelligence. Each episode aims to answer a ‘big question' in ethical AI with prominent lawmakers, leading thinkers, and internationally renowned authors.