Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135
Lex Fridman (host), Charles Isbell (guest), Narrator, Narrator
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Charles Isbell, Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135 explores interactive AI, human behavior, and race: Charles Isbell’s perspective Lex Fridman and Charles Isbell explore the nature of computing, interactive AI, and how human behavior shapes and is shaped by technology. Isbell frames computing as a discipline defined by executable models, languages, and machines, and emphasizes that real intelligence is inherently social and adaptive over long timescales. They discuss how data reveals human predictability, how AI might help bridge ideological divides by highlighting commonalities, and why education in computing must teach ways of thinking, not just coding. Woven throughout are frank reflections on race in America, policing, academia’s structures and rankings, and how empathy and narrative shape both injustice and progress.
Interactive AI, human behavior, and race: Charles Isbell’s perspective
Lex Fridman and Charles Isbell explore the nature of computing, interactive AI, and how human behavior shapes and is shaped by technology. Isbell frames computing as a discipline defined by executable models, languages, and machines, and emphasizes that real intelligence is inherently social and adaptive over long timescales. They discuss how data reveals human predictability, how AI might help bridge ideological divides by highlighting commonalities, and why education in computing must teach ways of thinking, not just coding. Woven throughout are frank reflections on race in America, policing, academia’s structures and rankings, and how empathy and narrative shape both injustice and progress.
Key Takeaways
Humans are highly predictable in routine behavior, even if they dislike hearing it.
Isbell’s home-automation experiments showed that with simple statistical models, you can predict the next button a person will press on a remote with ~93% accuracy, and cluster their behaviors to reach even higher accuracy on action sets. ...
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AI could help bridge ideological divides by surfacing shared experiences, not by winning arguments.
Isbell argues that machines can map people’s behavioral ‘distributions’ and find overlaps—commonalities in experiences, actions, or preferences—then use those overlaps as safe entry points for dialogue. ...
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Interactive AI must be social, adaptive, and long-lived, not just task-specific.
Isbell views real intelligence as something that emerges in interaction with others over time. ...
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Computing is its own mindset: models, languages, and machines are equivalent and dynamic.
For Isbell, computing is distinct from math, science, or traditional engineering because it treats models, languages, and machines as interchangeable representations of executable processes. ...
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Academic rankings and hiring often optimize for minimizing ‘false positives,’ reinforcing elitism.
Using faculty pipeline data, Isbell shows that top departments overwhelmingly hire from a small set of elite PhD programs, not because that’s where all the best talent necessarily is, but because it feels ‘safe. ...
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Racism is structural and experiential; lived encounters with policing shape lifelong vigilance.
Isbell recounts being pulled over near Boston and having a gun drawn on him for a minor traffic stop, fully believing that if he were killed, the officer would likely face no consequences and he himself would be posthumously vilified. ...
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Change around race and injustice is driven by visibility, narrative, and struggle—not just reason.
Connecting civil rights history to present protests, Isbell notes that television and now social media make abuses impossible to ignore, and that violence functions as a form of ‘shouting’ when other avenues fail. ...
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Notable Quotes
“Every individual is different, but any given individual is remarkably predictable.”
— Charles Isbell
“I think the interactive AI part is being intelligent with others. Being intelligent in isolation is a meaningless act.”
— Charles Isbell
“What distinguishes the computationalist from others is that models, languages, and machines are equivalent.”
— Charles Isbell
“Hate is something one should reserve for when it is useful. It takes a lot of energy.”
— Charles Isbell
“It is well worth remembering that the entire universe, save for one trifling exception, is composed entirely of others.”
— Charles Isbell (quoting an aphorism he admires)
Questions Answered in This Episode
How could we practically design AI systems that highlight commonalities between people without intruding on privacy or manipulating them?
Lex Fridman and Charles Isbell explore the nature of computing, interactive AI, and how human behavior shapes and is shaped by technology. ...
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What would a truly ‘lifelong learning’ AI deployed in the real world look like, and how would we evaluate whether it’s actually learning over time?
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In computing education, how can we teach the deeper computational mindset—about models, languages, and machines—rather than just teaching programming syntax?
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What structural changes in academia and funding would encourage less risk-averse hiring and more diverse intellectual and demographic representation?
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Given your experiences with policing and racism, what concrete policies or institutional reforms seem most likely to build genuine trust between communities and law enforcement?
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Transcript Preview
The following is a conversation with Charles Isbell, dean of the College of Computing at Georgia Tech, a researcher, an educator in the field of artificial intelligence, and someone who deeply thinks about what exactly is the field of computing and how do we teach it. He also has a fascinatingly varied set of interests, including music, books, movies, sports, and history that make him especially fun to talk with. When I first saw him speak, his charisma immediately took over the room, and I had a stupid excited smile on my face and I knew I had to eventually talk to him on this podcast. Quick mention of each sponsor, followed by some thoughts related to the episode. First is Neuro, the maker of functional sugar-free gum and mints that I use to give my brain a quick caffeine boost. Second is Decoding Digital, a podcast on tech and entrepreneurship that I listen to and enjoy. Third is MasterClass, online courses that I watch from some of the most amazing humans in history. And finally, Cash App, the app I use to send money to friends for food and drinks. Please check out these sponsors in the description to get a discount and to support this podcast. As a side note, let me say that I'm trying to make it so that the conversations with Charles, Eric Weinstein, and Dan Carlin will be published before Americans vote for president on November 3rd. There's nothing explicitly political in these conversations, but they do touch on something in human nature that I hope can bring context to our difficult time, and maybe, for a moment, allow us to empathize with people we disagree with. With Eric, we talk about the nature of evil. With Charles, besides AI and music, we talk a bit about race in America and how we can bring more love and empathy to our online communication. And with Dan Carlin, well, we talk about Alexander the Great, Genghis Khan, Hitler, Stalin, and all the complicated parts of human history in between, with a hopeful eye toward a brighter future for our humble little civilization here on Earth. The conversation with Dan will hopefully be posted tomorrow, on Monday, November 2nd. If you enjoy this thing, subscribe on YouTube, review it with five stars on Apple Podcasts, follow on Spotify, support on Patreon, or connect with me on Twitter @lexfriedman. And now, here's my conversation with Charles Isbell. You've mentioned that you love movies and TV shows. Let's, uh, ask an easy question, but you have to be definitively, objectively conclusive. What's your top three movies of all time?
So you're asking me to be definitive and to be conclusive. That's a little hard, and I'm gonna tell you why.
Mm-hmm.
It's very simple. It's because, uh, movies is too broad of a category. I gotta pick sub-genres. But I will tell you that of those genres... I'll pick one or two from, from each of the genres, and I'll get us to three, so I'm gonna cheat. So my favorite comedy of all times, but probably my favorite movie of all time, is His Girl Friday, which is probably a movie that you've not ever heard of, but it's based on a play called The Front Page from, I don't know, early 1900s. Uh, and the movie is a fantastic film.
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