Michael I. Jordan

Today's guest has spent decades helping shape our understanding of machine learning and its connection to statistics, computation, cognition, and decision-making.

Michael Jordan is a researcher at Enria Paris and Professor Emeritus at the University of California, Berkeley, and will be joining us in San Francisco as the opening plenary speaker at the 2026 INFORMS Annual Meeting, where he'll present A Collectivist, Economic Perspective on AI.

Michael, welcome to Resounding the Human.

Thanks.

So there's too much journalism space is being given to Altman, Amodei, and et cetera, and all the money.

I wish that that would somehow stop.

Before we wrap up, I'd like to move away from the future of artificial intelligence for a moment and get to know Michael Jordan, the person, a little bit better.

So it's time for our resoundingly human rapid fire questions.

Like a more contemporary example for me, someone that is, I think, just became Professor Emeritus or just resigned.

is a guy that is called Michael I. Jordan, who is also famous as the Michael Jordan of computer science, I think in New York Times article or something.

Really from a distance in a way, the guy was somehow a great inspiration for me.

And how, with how much, how do I say, courage, he actually traversed academia and managed to make massive contributions to so many different kinds of early emerging fields in statistics and machine learning.