The Father of AI Was a Black Scientist 🤯

Summary

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Earn Your Leisure: The Father of AI Was a Black Scientist 🤯

Podcast: Earn Your Leisure
Hosts: Rashad Bilal and Troy Millings
Guest: Tara Davis Woodhull with commentary from Lisa Blackwell
Air Date: January 27, 2026

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Episode Theme & Purpose

This episode of Earn Your Leisure spotlights the influential but underrecognized legacy of Dr. David Blackwell, a Black mathematician whose groundbreaking work laid the foundation for artificial intelligence and advanced statistical theory. The discussion explores Blackwell's life, his influential research, the challenges he faced as a Black academic, and reflections on how broader recognition of his achievements could transform STEM aspirations in the Black community. The dialogue is anchored by the family perspective and contemporary resonance, especially following Nvidia naming their most advanced AI chip "Blackwell" in his honor.

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Key Discussion Points & Insights

1. Who Was Dr. David Blackwell? (03:46 – 05:20)

• Nvidia Naming Tradition: Nvidia’s tradition of naming chips after scientific pioneers is explained, culminating in “Blackwell,” named for Dr. David Blackwell, the most advanced GPU at the time.
• Personal Connection: Tara Davis Woodhull, David Blackwell’s granddaughter, introduces the personal and cultural significance of her grandfather’s story.
• Documentary Preview: The episode includes an audio-visual concept reel for an upcoming documentary about Blackwell’s legacy.

2. Blackwell’s Scientific Legacy

(05:24 – 07:51)

• Fields of Impact: Blackwell made fundamental contributions to probability theory, statistics, information theory, mathematical logic, and game theory.
• Signature Theorem:
  • The Blackwell-Rao Theorem is highlighted as “an amazing approach to doing statistics,” crucial for minimizing bias in data – directly relevant to today's AI development.
  • “If Blackwell were alive today, he would certainly be the one to raise up his hand and say, you know, look, there’s bias in AI. There’s bias in the training data that we’re using, and we really need to think about minimizing these as more and more people use these models.” (Expert/Commentator 2, 07:40)

3. Blackwell’s Journey & Barriers

(07:51 – 10:50)

• Lisa Blackwell’s Reflection: Blackwell’s daughter recounts his early ambitions to teach, challenges finding academic acceptance, and the overt racism he faced. He was often denied teaching responsibilities despite qualifications because of his race.
• Institutional Resistance:
  • “He had the problems of not being hired in the 1950s because the wife of the chairman of the Berkeley Math department said, well, I wouldn’t want to see us hire somebody that I couldn’t invite to my home.” (Expert/Commentator 1, 09:45)
  • Blackwell’s acceptance at UC Berkeley in 1954 was historic but fraught; he and his family slept in a park for two months due to housing discrimination.

4. Personal Character & Community Legacy

(12:39 – 15:00)

• Resilience and Positivity: Blackwell is remembered as consistently positive and never bitter about racism.
  • “All the years I had heard people talk about David Blackwell, they never talked about him being angry or bitter. Most importantly, they never talked about him saying anything negative about anyone else. And that I think truly is a testament to his character.” (Expert/Commentator 2, 12:39)
• Innovative Teaching: Tara recalls family road trips where Blackwell would engage his children in advanced mathematical thinking, reflecting his gifts as a teacher and communicator.

5. AI Recognition and Impact Today

(13:23 – 17:28)

• Nvidia’s Acknowledgement: The story behind Nvidia naming their chip after Blackwell is discussed; he is the only honoree directly connected to the foundation of AI, unlike others who contributed to different scientific fields.
  • “We named it Blackwell in honor of Dr. Blackwell… The engine that’s powering this new industrial revolution.” (Lisa Blackwell, 13:37-13:46)
• On Representation:
  • The impact of the hidden history of Black excellence in STEM is discussed.
  • “Imagine if David Blackwell didn’t have to be hidden 50 years ago. If he wasn’t hidden 50 years ago, what would Stem look like today? What’s it going to look like tomorrow if we don’t uphold his face and those like him?” (Tara Davis Woodhull, 15:21)
• Identity and Advice:
  • “Specifically to African Americans. I would say don’t consider your race as a handicap. If you want to go in a direction, go in that direction… Don’t worry so much about race. It’s going to be a factor, but let other people worry about it. Don’t you worry about it.” (Lisa Blackwell, 13:59)

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Notable Quotes & Memorable Moments

• On Blackwell’s Scientific Influence:
  • “There are many, many standard tools that people use all the time that are named after David.” (Expert/Commentator 1, 06:52)
• On Reckoning With Racial Bias in STEM:
  • “It just never crossed my mind that Blackwell could be black.” (A statistician’s reaction, quoted by Expert/Commentator 2, 14:34)
• On Community Impact:
  • “This moment to me is bigger because this is my community. This is who my grandfather cared about. These are the people I care about… But… nobody knows that he was there doing it.” (Tara Davis Woodhull, 18:38-19:56)
• On Representation and Inspiration:
  • “We aspire to be athletes and entertainers because we see success in that… But what if his story was so well known? How would that potentially change the trajectory of young people… knowing that artificial intelligence was practically started by somebody that was black?” (Podcast Host 2, 16:16)
• On Positivity:
  • “Let me not try to dwell on [the negative]. Let me try to move forward, to say what are positive things that are happening and what are ways that I can make this world a better place.” (Expert/Commentator 2, 12:39)

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Important Segment Timestamps

• Nvidia’s Chip Naming & Blackwell’s Legacy – 03:46–05:24
• Blackwell-Rao Theory & Minimizing Bias in AI – 06:44–07:51
• Lisa Blackwell on Academic Barriers – 07:51–09:23
• Stories of Discrimination at Berkeley – 09:45–10:50
• Tara’s Family Memories and Blackwell’s Character – 10:50–12:39
• The Reluctance to Recognize Black Genius – 14:34–15:21
• The Power of Representation in STEM – 16:16–18:38
• Tara on Community and Legacy – 18:38–19:56

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Conclusion

This episode powerfully reframes the narrative on who has shaped the modern AI era, centering the achievements and perseverance of Dr. David Blackwell—a black scientist whose legacy, mathematical rigor, and character are only just beginning to receive the cultural celebration they deserve. The conversation urges listeners to embrace a wider view of STEM heroes, underscoring the transformative potential of representation and historic truth. It is an inspiring reminder that the next generation needs to see—and be taught—the real story behind the technology shaping our world.

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Transcript

[Tara Davis Woodhull]

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[Hunter Woodhull]

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[Tara Davis Woodhull]

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[Hunter Woodhull]

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[Lisa Blackwell]

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[Podcast Host 1]

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[Podcast Host 2]

Is a very important segment, so can we bring our guest up? Hey.

[Podcast Host 1]

Hey.

[Hunter Woodhull]

How are you?

[Podcast Host 2]

How are you?

[Tara Davis Woodhull]

How are you?

[Podcast Host 1]

We are good. How you feeling?

[Tara Davis Woodhull]

I'm feeling great. It's. I'm just a pleasure to be here and so much fun to listen to you guys. This is great. It's. It. Not only is it good stuff, it's interesting and fun. I love the way you present it. And I'm like, yes, okay, I'm right. I'm taking notes right here.

[Podcast Host 2]

Thank you. Thank you. So this is vitally important. So, okay. Lisa Blackwell. So, all right, some backstory. If you follow Nvidia, you know that they, every year they come out with a new chip and they name the chip after a historical figure, like one of the top scientists in the world, somebody that has contributed to artificial intelligence, somebody that, you know, like a pioneer in this space. Last year, chip was named Blackwell. So Blackwell before Ruben is this year, Ruben hasn't come out yet. So currently, Blackwell is the most advanced chip ever created. Now, the interesting thing is that Blackwell was named after David Blackwell. David Blackwell is Lisa's grandfather.

[Tara Davis Woodhull]

Correct.

[Podcast Host 2]

This. This is a very interesting story. And we're gonna play a. We're gonna play a visual to talk about it. And then we. But before we play the visual, can you just queue up, can you queue this up for us? Sure.

[Tara Davis Woodhull]

So you're about to see 10 minutes of what is a concept reel for the documentary that we're creating about my grandfather's story. And it really has a little bit of the sort of linchpin that everything turned around on. Like when I start digging into the story and what I discovered and you guys are getting ready to see sort of what that looks like. And again, this is the concept reel for the documentary.

[Podcast Host 2]

Let's play it, shall we? Let's do it. Okay.

[Hunter Woodhull]

National Medal of Science to David Blackwell, University of California, Berkeley. I would like to introduce you to.

[Podcast Host 2]

A very, very big GPU named after David Blackwell.

[Hunter Woodhull]

For fundamental contributions to probability theory, mathematical statistics, information theory, mathematical logic and Blackwell games.

[Expert/Commentator 1]

David Blackwell was a great amongst greats. He was the great, great, great mathematician among great mathematicians.

[Expert/Commentator 2]

Blackwell was a pioneer who was ahead of his time.

[Tara Davis Woodhull]

I thought I knew my grandfather. Eggs at dawn, martinis at dusk and a 5% dividend man all the way. Years later, Nvidia named their platform Blackwell. That's when I start digging and discovered my grandfather, Professor Blackwell, architect of the mathematics behind artificial intelligence.

[Expert/Commentator 2]

A lot of his ideas really cause people to rethink. How do we interpret data.

[Expert/Commentator 1]

There are many, many standard tools that people use all the time that are named after David, you know, Blackwell spaces and the RAO Blackwell Theorem.

[Expert/Commentator 2]

Blackwell nowadays is known for what's called the Blackwell RAO theorem. Sort of like saying if something happens frequently enough, you should be able to kind of predict what's going to happen next. However, there might be some bias in some of that data. That's essentially what the Blackwell Ralph Theorem tells you, is that there's a way you can kind of estimate what should happen, but then minimize the bias that you would have there in the data. And this is an amazing approach to doing statistics. If Blackwell were alive today, he would certainly be the one to raise up his hand and say, you know, look, there's bias in AI. There's bias in the training data that we're using, and we really need to think about minimizing these as more and more people use these models.

[Lisa Blackwell]

I was very clear that I was going to be a schoolteacher. My father had a friend who was on the school board, and before I finished high school, he already told my father that if I went to college and got a degree, he would get me a job teaching. And this was in the Depression. And it was a great relief to me and everybody else when it was clear what my future was going to be. After I got my bachelor's degree in three years, I decided to spend my fourth year getting a master's degree. But then at the end of my fourth year, I was encouraged to apply for a fellowship to go on for a PhD. And I did. And then, of course, my objective changed. There were perhaps 25 awards. 22 of them required teaching assistant responsibilities. 3 of them were pure fellowships. And everybody applied for both things. And the lucky three got the fellowships. And one of my Colleagues who also applied told me that I was going to get one of the fellowships. And I said, how do you know? He said, well, they're good enough to be supported and they're not going to put you in front of a classroom. And he was right.

[Tara Davis Woodhull]

They were not going to put you in front of a classroom because.

[Lisa Blackwell]

Because I'm.

[Expert/Commentator 1]

David, you know, he was a black mathematician and there are no black mathematicians that would. That it were, but there are very few. Anyway, what was it like to be David Blackwell? I never could get him to talk about that, anything about what his experiences were in Berkeley. He had the problems of not being hired in the 1950s because the wife of the chairman of the Berkeley Math department said, well, I wouldn't want to see us hire somebody that I couldn't invite to my home. Yet Jersey Neighman realized that David Blackwell was David Blackwell and did hire him over these awful people's dead bodies. But to try to get David to tell any story of that sort, he just wasn't a negative person.

[Tara Davis Woodhull]

My grandfather came to UC Berkeley in 1954. That was the same year that the Brown versus the Board of Education came down, 1954. And my grandparents are driving across the country with their seven kids with the green book. There was this book that they had to use to get across the country so they knew where they could sleep, safe places that they could sleep. Then when he got here, he wasn't offered the customary hospitality, and so he went. And they didn't have housing. They slept in Tilden park for two months. And he would go commute and teach at the school. Seven children. When we traveled, and we did travel a lot in the car, in the station wagon. When we would travel, he would have a map and he would give each of us a map and he would have gasoline estimates, time estimates for how long it was going to take us, estimates for how long we'd go to the bathroom, estimates for what the traffic was going to be. But along the way, he kept us all engaged at our own level. And it was remarkable to have children 10 years apart. One is very young, the other one is much more mature and still keep them all engaged. They somehow felt equal to the challenge. It was just reflective of his considerate manner of teaching. Your grandfather was the most delightful, friendly, warmest person. I just remember him with a smile on his face.

[Expert/Commentator 2]

All the years I had heard people talk about David Blackwell, they never talked about him being angry or bitter. Most importantly, they never talked about him saying anything negative about anyone else. And that I Think truly is a testament to his character. That's what I strive to do, is to really say, maybe things have happened negatively, but let me not try to dwell on that. Let me try to move forward, to say what are positive things that are happening and what are ways that I can make this world a better place.

[Hunter Woodhull]

You have arrived at a developers conference. There will be a lot of science described.

[Lisa Blackwell]

Algorithms, computer architecture, mathematics.

[Hunter Woodhull]

In March last year, Nvidia unveiled its most ambitious GPU architecture.

[Lisa Blackwell]

We named it Blackwell in honor of Dr. Blackwell.

[Hunter Woodhull]

Today we're witnessing the dawn of the AI era and the Blackwell architecture is.

[Lisa Blackwell]

The engine that's powering this new industrial revolution.

[Hunter Woodhull]

We strive each day to honor Dr. Blackwell's remarkable legacy by bringing the promise of AI to industries, developers and researchers.

[Lisa Blackwell]

Worldwide, specifically to African Americans. I would say don't consider your race as a handicap. If you want to go in a direction, go in that direction. In other words, make decisions on the same basis as if you were Chinese or white or anything else. Don't worry so much about race. It's going to be a factor, but let other people worry about it. Don't you worry about it.

[Expert/Commentator 2]

David Blackwell was the epitome of excellence. We had a booth at a math conference. An individual walked by. He wasn't a black mathematician. He pauses at the table, looks at the picture of Blackwell and is very confused, and then says, you know, I'm a statistician, but that picture can't be right. David Blackwell wasn't black. So I asked him, so how are you convinced that he wasn't black? And he said, well, there's this Blackwell Raoul Theorem, and it's an amazing theorem. It just never crossed my mind that Blackwell could be black.

[Tara Davis Woodhull]

So imagine if David Blackwell didn't have to be hidden 50 years ago. If he wasn't hidden 50 years ago, what would Stem look like today? What's it going to look like tomorrow if we don't uphold his face and those like him?

[Podcast Host 2]

Yes. Wow. There you go.

[Podcast Host 1]

Wow. It is incredible watching it talking to you, getting to know you over the past few months has just been incredible. The chat is going crazy. You know, we don't need a month or we don't need a day to celebrate our history. We make history every day. And I'm so happy that you put.

[Podcast Host 2]

This piece together and just for full contact for people like, you know, it's interesting because we talk about AI so much and who really knew that one of the forefathers of artificial intelligence was black and held in such high regard in the world of science, that the largest company in the history of the world, which is Nvidia, named their most advanced piece of software ever after a black man. And once again, it just goes back to. I think you said this at Nvidia, if he was well known, which what would that do to Stem in our community, because we aspire to be things that we see success in. So we aspire to be athletes and entertainers because we see success in that. It's not just because we're talented in athletics and entertainment. We are. But we're also talented in math and science, but we don't see. We haven't been exposed to that. So that's not something that we aspire to be. But what if his story was so well known? How would that potentially change the trajectory of young people wanting. Knowing that artificial intelligence was practically started by somebody that was black?

[Podcast Host 1]

Yeah, yeah, Lisa, it, it, you know, we, we had this call and just, I mean, when we talk about relationships early in the show, this is just one of these relationships that was kind of just like, God, right. Like, I remember we, we had a call and it got emotional for a sec because unbeknownst to you, we were already going to Nvidia shout out to our brother Tuohy. And I know Noel's on. On the check in. They were like, hey, Troy, there's this person that you guys should meet. I think she'd be incredible. I'm like, who is this person? I saw the deck. I'm like, oh, this is a great story. But when we connected, it was fresh off Invest Fest and I was like, there was this message that I got from my brother, Marcus Rosaire, about being who you're going to be so somebody else can be who they're going to be. And when I relayed that message to you, I said yes. Jensen and Chris, the co founders of Nvidia, named the Chip Blackwell. They did their part. They may not have told his story, but they did their part so that we could now do our part. I want to know what this moment feels like for you. Obviously, being on the campus, being there, meeting the co founder. What was this moment like for you?

[Tara Davis Woodhull]

You know, I want to say that this moment right now is bigger to me than that moment. This moment to me is bigger because this is my community. This is who my grandfather cared about. These are the people I care about. This is bigger. And to see their excitement about this, this moves me in a way I cannot express. But to answer your question directly, it was interesting. It's a Full circle moment in so many ways because I just want to put a finer point on something you said earlier where Nvidia named has a history of naming their products after accomplished scientists and things like that. Well, Vera Rubin, who's the next one, she's actually an astronomer and then another person, like they're just different people who are, who have made profound contributions to science. He's the only one who's really done something in AI specifically. And part of the reason is there are only a few of them and most of them just like Claude Shannon is one. And I'm, I think that's what Claude is named after. But so we came in there and saw what they had, what they're creating with his work. It's just so powerful. But it's also something else because nobody knows that he was there doing it, you know, so it's, it's two things at once.

[Podcast Host 1]

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[Tara Davis Woodhull]

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[Hunter Woodhull]

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[Tara Davis Woodhull]

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