Yes, I have retired.

It's a milestone. It's not a finish line!

As of June 1, 2024, I am an Emeritus Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. I still hang around with friends and colleagues in Computer Science and Engineering and in the Department of Robotics.

I don't plan to stop working, of course. The major research focus for the next phase of my career is Ethics for AI and Robotics.

I am no longer taking on new students, though I am helping a few students complete their degrees, and I am always happy to talk about research topics in and around AI (which means, about pretty much anything). I am no longer taking a leading role in applying for grants to support research and students, though I am happy to help colleagues with their proposals.

Retrospectives on My Work

I discovered the field of Artificial Intelligence in Spring 1973, during my first year as a grad student in pure math at MIT. I had planned to be a pure mathematician, but the skies opened, and I saw AI as being the kind of mathematics needed to model the mind. I ended up working on modeling commonsense knowledge of foundational domains such as space, dynamical change, objects and actions, and now ethics.

Over the years, I have written several essays reflecting on various topics I have worked on. I have also written a lot of papers since then, so I have selected out some Highlights.

What's Next?

Wisdom from others who have gone before me into this "retirement" job suggests that there will be no shortage of things to do. Their advice is to wait a year or so before making new commitments.

We're not planning to move anywhere. There are plenty of family, friends, and things to do around here. (And climate change projections suggest that Michigan will continue to be a good place to be.)

I remain quite fond of many of the topics I've explored in the past, and it seems that there remains plenty to say about them. I plan to keep reading, writing, and talking about these things as long as I can.