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Abstract

Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Kush Varshney who is a Distinguished Research Staff Member and Manager of IBM Research and leads the Machine Learning group in the Foundations Trustworthy AI and the Co-Founder of IBM Science for Social Good. Kush has a history in Electrical Computer Engineering and a PHD at MIT.

Show Notes
1:32 – Kush’s history

6:36 – Is there such a thing as trust worthy AI?

14:46 – Are we going to let AI make decisions?

19:57 – Have you worked on any government projects?

21:41 – Government datasets governance

24:13 – Steps to invest in trust and fairness

25:54 – What is Science for Social Good

27:25 – Where will AI be in 3 years?

30:02 – White noise for the nose

IBM for Social Good

Trusting AI

Factfulness

Trust Worthy Machine Learning (coming next year)

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This week Al and Kush Varshney discuss machine learning and trustworthy AI 39:53 Share

Making Data Simple

Shownotes Transcript

This week Al and Kush Varshney discuss machine learning and trustworthy AI