My guest today, Faye Faye Lee, is a professor of computer science at Stanford University.

Her early research led to massive advances in computer vision, one of the most important

subfields of artificial intelligence.

Not too many people were betting on what I was doing, for sure.

Welcome to people I mostly admire with Steve Lovett.

Faye Bailey continues to produce breakthroughs in computer vision research, but as a co-director of

Stanford's Human-centered AI Institute, she now spends much of her time trying to tame AI,

working to steer the technology and directions that will benefit rather than harm society.

Artificial intelligence is all the age these days.

But that is such a contrast to the early 1990s

when I was in graduate school.

I remember the consensus at that time,

at least in the circles that I ran in was that a bunch of the smartest people on

the planet had wasted a lot of time back in the 1960s and 70s and 80s on AI and if I had said I wanted to pursue AI, everyone around me would have tried to talk me out of it.

So you're probably lucky to be younger than me so that by the time you came of age there was more optimism about

AI but did people try to talk you out of that career path as well? You know here's

the truth I didn't ask people. So I started my PhD in the year of 2000

and I didn't start it for artificial intelligence.

I started in computer vision and machine learning and then I enter grass school and I

realize oh there is another name to this field called AI and I like it, so here goes.

I think it's probably fair to say that some of AI's greatest successes and practical applications

to date have been in the area of computer vision in no small part because of your own

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