DiscoverThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407
What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407

What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407

Update: 2020-09-07
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Today we’re joined by the legendary Michael I. Jordan, Distinguished Professor in the Departments of EECS and Statistics at UC Berkeley. 

Michael was gracious enough to connect us all the way from Italy after being named IEEE’s 2020 John von Neumann Medal recipient. In our conversation with Michael, we explore his career path, and how his influence from other fields like philosophy shaped his path. 

We spend quite a bit of time discussing his current exploration into the intersection of economics and AI, and how machine learning systems could be used to create value and empowerment across many industries through “markets.” We also touch on the potential of “interacting learning systems” at scale, the valuation of data, the commoditization of human knowledge into computational systems, and much, much more.

The complete show notes for this episode can be found at. twimlai.com/go/407.

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What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407

What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407

Sam Charrington