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.

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What is In AI We Trust??

In AI We Trust? is a podcast with Miriam Vogel of EqualAI that amplifies leaders and voices from across society who are defining, developing, and deploying AI best practices across government, industry, academia, and civil society. In each episode, Miriam sits down with guests to demystify the technology, discuss the importance of AI governance and AI literacy, and spark conversations about people’s hopes, fears, and opportunities in an AI-shaped future.