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DeepMind: The Podcast
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DeepMind: The Podcast

Author: DeepMind

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This eight part series, hosted by mathematician and broadcaster Hannah Fry, aims to give listeners an inside look at the fascinating world of AI research and explores some of the questions and challenges the whole field is wrestling with today.
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In this special extended episode, Hannah Fry meets Demis Hassabis, the CEO and co-founder of DeepMind. She digs into his former life as a chess player, games designer and neuroscientist and explores how his love of chess helped him to get start-up funding, what drives him and his vision, and why AI keeps him up at night.If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com.Further reading:Wired: Inside DeepMind's epic mission to solve science's trickiest problemQuanta magazine: How Artificial Intelligence Is Changing ScienceDemis Hassabis: A systems neuroscience approach to building AGI. Talk at the 2010 Singularity Summit Demis Hassabis: The power of self-learning systems. Talk at MIT 2019Demis Hassabis: Talk on Creativity and AI Financial Times: The mind in the machine: Demis Hassabis on artificial intelligence (2017)The Times: Interview with Demis HassabisThe Economist Babbage podcast: DeepMind GamesInterview with Demis Hassabis from the book Game Changer, which also features an introduction from DemisInterviewees: Deepmind CEO and co-founder, Demis HassabisCredits:Presenter: Hannah FryEditor: David PrestSenior Producer: Louisa FieldProducers: Amy Racs, Dan HardoonBinaural Sound: Lucinda Mason-BrownMusic composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)Commissioned by DeepMind
Towards the future

Towards the future

2019-09-1026:296

AI researchers around the world are trying to create a general purpose learning system that can learn to solve a broad range of problems without being taught how. Koray Kavukcuoglu, DeepMind’s Director of Research, describes the journey to get there, and takes Hannah on a whistle-stop tour of DeepMind’s HQ and its research. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com. Further reading: OpenAI: An overview of neural networks and the progress that has been made in AI Shane Legg, DeepMind co-founder: Measuring machine intelligence at the 2010 Singularity Summit Shane Legg and Marcus Hutter: Paper on defining machine intelligence Demis Hassabis: Talk on the history, frontiers and capabilities of AI Robert Wiblin: Positively shaping the development of artificial intelligence Asilomar AI Principles Richard S. Sutton and Andrew G. Barto: Reinforcement Learning: An Introduction Interviewees: Koray Kavukcuoglu, Director of Research; Trevor Back, Product Manager for DeepMind’s science research; research scientists Raia Hadsell and Murray Shanahan; and DeepMind CEO and co-founder, Demis Hassabis. Credits: Presenter: Hannah Fry Editor: David Prest Senior Producer: Louisa Field Producers: Amy Racs, Dan Hardoon Binaural Sound: Lucinda Mason-Brown Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet) Commissioned by DeepMind
AI for everyone

AI for everyone

2019-09-0329:157

While there is a lot of excitement about AI research, there are also concerns about the way it might be implemented, used and abused. In this episode Hannah investigates the more human side of the technology, some ethical issues around how it is developed and used, and the efforts to create a future of AI that works for everyone. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com. Further reading: The Partnership on AI ProPublica: investigation into machine bias in criminal sentencing Science Museum – free exhibition: Driverless: who is in control (until Oct 2020) Survival of the best fit: An interactive game that demonstrates some of the ways in which bias can be introduced into AI systems, in this case for hiring Joy Buolamwini: AI, Ain’t I a Woman: A spoken word piece exploring AI bias, and systems not recognising prominent black women Hannah Fry: Hello World - How to be Human in the Age of the Machine DeepMind: Safety and Ethics Future of Humanity Institute: AI Governance:A Research Agenda Interviewees: Verity Harding, Co-Lead of DeepMind Ethics and Society; DeepMind’s COO Lila Ibrahim, and research scientists William Isaac and Silvia Chiappa. Credits: Presenter: Hannah Fry Editor: David Prest Senior Producer: Louisa Field Producers: Amy Racs, Dan Hardoon Binaural Sound: Lucinda Mason-Brown Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet) Commissioned by DeepMind
Out of the lab

Out of the lab

2019-08-2731:174

The ambition of much of AI research is to create systems that can help to solve problems in the real world. In this episode, Hannah meets the people building systems that could be used to save the sight of thousands, help us solve one of the most fundamental problems in biology and reduce energy consumption in an effort to combat climate change. But whilst there is great potential, there are also important obstacles that will need to be tackled for AI to be used effectively, safely and fairly. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com. Further reading: Wired: Inside DeepMind's epic mission to solve science's trickiest problem DeepMind blogs on the partnership with Moorfields NHS eye hospital and predicting eye disease, and Moorfields’ news announcement on its research with DeepMind DeepMind blog: AlphaFold: Using AI for scientific discovery DeepMind blogs on reducing Google’s energy bill for datacentre cooling and how this project has progressed Research paper: Tackling Climate Change with Machine Learning Quanta magazine: How Artificial Intelligence Is Changing Science DeepMind blog: How evolutionary selection can train more capable self-driving cars Other examples of the application of AI for real-world impact include: Francis Crick Institute: machine learning models that can help predict heart disease NASA: AUDREY machine learning system to better guide first responders through fires University of Southern California: Protection Assistant for Wildlife Security using AI to help wildlife conservation Interviewees: Pearse Keane, consultant ophthalmologist at Moorfields Eye Hospital; Sandy Nelson, Product Manager for DeepMind’s Science Program; and DeepMind Program Manager Sims Witherspoon. Credits: Presenter: Hannah Fry Editor: David Prest Senior Producer: Louisa Field Producers: Amy Racs, Dan Hardoon Binaural Sound: Lucinda Mason-Brown Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet) Commissioned by DeepMind
AI, Robot

AI, Robot

2019-08-2032:2710

Forget what sci-fi has told you about superintelligent robots that are uncannily human-like; the reality is more prosaic. Inside DeepMind’s robotics laboratory, Hannah explores what researchers call ‘embodied AI’: robot arms that are learning tasks like picking up plastic bricks, which humans find comparatively easy. Discover the cutting-edge challenges of bringing AI and robotics together, and learning from scratch how to perform tasks. She also explores some of the key questions about using AI safely in the real world. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com. Further reading: Blogs on AI safety and further resources from Victoria Krakovna The Future of Life Institute: The risks and benefits of AI The Wall Street Journal: Protecting Against AI’s Existential Threat TED Talks: Max Tegmark - How to get empowered, not overpowered, by AI Royal Society lecture series sponsored by DeepMind: You & AI Nick Bostrom: Superintelligence: Paths, Dangers and Strategies (book) OpenAI: Learning from Human Preferences DeepMind blog: Learning from human preferences DeepMind blog: Learning by playing - how robots can tidy up after themselves DeepMind blog: AI safety Interviewees: Software engineer Jackie Kay and research scientists Murray Shanahan, Victoria Krakovna, Raia Hadsell and Jan Leike. Credits: Presenter: Hannah Fry Editor: David Prest Senior Producer: Louisa Field Producers: Amy Racs, Dan Hardoon Binaural Sound: Lucinda Mason-Brown Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet) Commissioned by DeepMind
Life is like a game

Life is like a game

2019-08-2026:444

Video games have become a favourite tool for AI researchers to test the abilities of their systems. In this episode, Hannah sits down to play StarCraft II - a challenging video game that requires players to control the onscreen action with as many as 800 clicks a minute. She is guided by Oriol Vinyals, an ex-professional StarCraft player and research scientist at DeepMind, who explains how the program AlphaStar learnt to play the game and beat a top professional player. Elsewhere, she explores systems that are learning to cooperate in a digital version of the playground favourite ‘Capture the Flag’. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com. Further reading The Economist: Why AI researchers like video games DeepMind blogs: Capture the Flag and Alphastar Professional StarCraft II player MaNa gives his impressions of AlphaStar and DeepMind Open AI’s work on Dota 2 The New York Times: DeepMind can now beat us at multiplayer games, too Royal Society: Machine Learning resources DeepMind: The Inside Story of AlphaStar Andrej Karpathy: Deep Reinforcement Learning: Pong from Pixels Interviewees: Research scientists Max Jaderberg and Raia Hadsell; Lead researchers David Silver and Oriol Vinyals, and Director of Research Koray Kavukcuoglu. Credits: Presenter: Hannah Fry Editor: David Prest Senior Producer: Louisa Field Producers: Amy Racs, Dan Hardoon Binaural Sound: Lucinda Mason-Brown Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet) Commissioned by DeepMind
Go to Zero

Go to Zero

2019-08-2025:559

In March 2016, more than 200 million people watched AlphaGo become first computer program to defeat a professional human player at the game of Go, a milestone in AI research that was considered to be a decade ahead of its time. Since then the team has continued to develop the system and recently unveiled AlphaZero: a program that has taught itself how to play chess, Go, and shogi. Hannah explores the inside story of both with Lead Researcher David Silver and finds out why games are a useful proving ground for AI researchers. She also meets Chess Grandmaster Matthew Sadler and women’s international master Natasha Regan, who have written a book on AlphaZero and its unique gameplay. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com. Further reading AlphaGo the documentary The Surrounding Game: Documentary about the ancient game of Go DeepMind website: AlphaGo Garry Kasparov: Deep Thinking AI: More than Human - Exhibition at the Barbican Centre, 2019 and online exhibit DeepMind blog: AlphaZero: Shedding new light on chess, shogi, and Go Matthew Sadler and Natasha Regan: Game Changer - a book about chess and AI WIRED: What the AI behind AlphaGo can teach us about being human Interviewees: DeepMind CEO Demis Hassabis, Matthew Sadler, chess Grandmaster; Lead Researcher David Silver, Matt Botvinick, Director of Neuroscience Research; and Natasha Regan, women’s international chess master. Credits: Presenter: Hannah Fry Editor: David Prest Senior Producer: Louisa Field Producers: Amy Racs, Dan Hardoon Binaural Sound: Lucinda Mason-Brown Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet) Commissioned by DeepMind
What can the human brain teach us about AI? And what can AI teach us about our own intelligence? These questions underpin a lot of AI research. In this first episode, Hannah meets the DeepMind Neuroscience team to explore these connections and discovers how our brains are like birds’ wings, what training a dog and an AI agent have in common, and why the simplest things for people to do are, paradoxically, often the hardest for machines. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com. Further reading BBC: An AI playlist Wait But Why: The AI Revolution Coursera: AI for everyone Medium: Machine Learning for Humans Google Arts & Culture: 25 moments that have defined AI Royal Society: What is Machine Learning? The Algorithm: A weeklyemail newsletter from MIT Tech Review DeepMind blog: neuroscience and AI: a virtuous circle Nature: Far-sighted birds plan breakfast the evening before Interviewees in this episode: Deepmind CEO and co-founder, Demis Hassabis; Matt Botvinick, Director of Neuroscience Research; research scientists Jess Hamrick and Greg Wayne; and Director of Research, Koray Kavukcuoglu. Credits: Presenter: Hannah Fry Editor: David Prest Senior Producer: Louisa Field Producers: Amy Racs, Dan Hardoon Binaural Sound: Lucinda Mason-Brown Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet) Commissioned by DeepMind
Over the past 12 months, mathematician and broadcaster Hannah Fry has explored DeepMind's headquarters in London to get an inside look at artificial intelligence (AI) research and where it is going. The result - DeepMind: the Podcast - offers diverse perspectives from scientists, researchers and engineers. Along the way, she explores what they are working on, how they’re approaching the science of AI and some of the tricky decisions the whole field is wrestling with at the moment. Programmes delve into the link between neuroscience and AI, why scientists use video games in their research, building safe AI, how AI can be used to solve scientific problems and more. If you have a question or feedback on the series, message us on Twitter ([@DeepMindAI](https://twitter.com/deepmindai?lang=en) using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com.
Comments (10)

Marc Thomson

What is the name of piece of piano music played in the background?

Apr 7th
Reply

Hector Zayas

Enjoyed this tremendously. Thanks

Feb 4th
Reply

Paul Gibson

I have only recently become interested in the topic AI, I find this series totally fascinating. When I heard Hannah Fry's reaction to the news that Go Zero beat Go alpha by 100-1, that said it all, we are far further ahead in this field of technology than I ever imagined. Great work Deep Mind.

Aug 27th
Reply

Kieran McNeff

Very interesting and illuminating

Aug 26th
Reply

Paul Gibson

What a great podcast, thought provoking, interesting and informative, very much looking forward to the next one.

Aug 24th
Reply

Rohith R Nair

So far so good. Much awaited!

Aug 21st
Reply

John Gasser

brilliant podcast!

Aug 20th
Reply

Michael Pemulis

Great news, épisodes finally out on castbox! Would it be possible it have the episodes numbered?

Aug 20th
Reply

triton62674

I can’t wait for this great work Hannab 😁🎉🎉

Aug 18th
Reply

Doug P

Very much looking forward to this 🙃🙃🙃

Aug 17th
Reply
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