The Existential Hope Podcast

How tech can earn public trust and why 21st century science needs 21st century funding | Dorothy Chou

The Existential Hope Podcast

Show Notes

What does it take to fund a Nobel Prize-winning idea? Apparently, not a Nobel Prize. AlphaFold solved the shape of 200 million proteins in one shot, a problem that used to take a PhD four years per protein, and biotech investment still fell. Funding isn’t the only problem tech is facing: it has also never been good at talking to the people it builds for. Is that a coincidence? In this episode, we speak with Dorothy Chou, who ran Google DeepMind's Public Engagement Lab for nine years. She now advises DeepMind and chairs UCLPartners, an organization connecting new technology to the UK's National Health Service. We cover:

What made AlphaFold possible in the first place and how we can replicate its success in other domains Why neither venture capital nor governments can fund biology on biology's actual timeline, and Dorothy’s proposed solution Why AI could help redirect money the ideas that will actually help people the most, not just the ones that are easiest to fundraise for How AI companies are about to repeat the public engagement mistake the biotech industry already made once Her advice for young people who feel like they're not the expert in the room

Chapters: 0:00 Cold open 1:00 Why Dorothy Chou is leaving Google DeepMind after nine years 4:26 How do we actually use AI for good? 6:12 What is DeepMind's public engagement lab? 9:53 The AlphaFold breakthrough, explained 12:37 Why funding science is stuck in the 20th century 15:30 How governments and investors should fund AI for science 19:21 Other AI for science projects worth watching 22:11 What is blended finance for science? 24:44 Is funding for AI-driven science finally picking up? 26:05 What could an AlphaFold moment look like in 10 years? 28:33 Why venture capital and biotech investors don't understand each other 30:08 How AI could level the playing field for science funding 31:43 The fusion project Dorothy wishes more people knew about 33:04 Why public imagination matters as much as public policy 36:06 How do we build more public imagination? 39:11 Advice for people who want to work at this intersection of AI and science 41:11 The best advice Dorothy's ever received On the Existential Hope Podcast hosts Allison Duettmann and Beatrice Erkers from the Foresight Institute invite scientists, founders, and philosophers for in-depth conversations on positive, high-tech futures.

Full transcript, listed resources, and more: https://www.existentialhope.com/podcasts

Follow on X. Hosted on Acast. See acast.com/privacy for more information.

More from The Existential Hope Podcast

Oct 14, 2026

We see elections as the foundation of our democracy, but Aristotle thought they create an oligarchy. In ancient Athens, democracy worked by choosing leaders among ordinary citizens by lottery. How could we revive this idea to improve today’s democratic systems?

Sep 30, 2026

For 50,000 of generations, humans have passed civilization down to their children. We could be the first generation to hand its future to AIs instead. Should we? Or could the best AI be the kind that chooses to step back and leave some things to us?

Sep 22, 2026

Google DeepMind has a 7-hour-long roleplaying game that helps real scientists and policy makers understand how AI will transform science by 2030. And those who played it have found it more informative than any policy brief.

Sep 16, 2026

In 2024, Taiwan was flooded with deepfake scam ads. Instead of a crackdown, the government texted 200,000 random citizens: what should we do? People’s proposals became law within months, and by 2025 deepfake ads were down 94%.

Aug 26, 2026

There are AIs running labs with little human intervention right now. And they’re doing experiments that human experts would never try. Is this changing what and how science gets done?

See all episodes →