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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.
By Miriam Vogel4.4
2323 ratings
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.

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