Season 2 is coming soon!

view trailer

DeepMind: The Podcast

What is artificial intelligence? Is it safe? And what’s it used for?

We’re often asked these questions at talks, science festivals, and in conversation with family and friends. So we partnered with the brilliant mathematician and broadcaster Hannah Fry to create DeepMind: The Podcast, which explores the latest in AI and uncovers the extraordinary ways it’s transforming our world.

In the second season - coming soon - Hannah discovers how AI is accelerating science, takes an in-depth look at the challenges and potential of building advanced problem-solving systems known as artificial general intelligence (AGI), and explores what it takes to ensure AI is built to benefit society.

Listen now on your favourite podcast app by searching “DeepMind: The Podcast”.

In Season 2, I've gone back inside the lab... and, I must say, I've seen some pretty extraordinary things."

Hannah Fry

Mathematician and podcast presenter

DeepMind: The Podcast, Season 2 trailer

3 mins

I hope this series gives people a better understanding of artificial intelligence and a feeling for just how exhilarating an endeavour it is."

Demis Hassabis

Co-Founder and CEO of DeepMind

Season 1

DeepMind: The Podcast trailer
Season 1 trailer

Hannah Fry, a mathematician and broadcaster with a talent for making technical topics accessible and interesting, introduces the first season.

Episode 1: AI and neuroscience - The virtuous circle
Episode 1: AI and neuroscience - The virtuous circle

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.

Episode 2: Go to Zero
Episode 2: Go to Zero

Hear the story of AlphaGo, the first computer program to defeat a professional human player at the game of Go.

Episode 3: Life is like a game
Episode 3: Life is like a game

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.

Episode 4: AI, Robot
Episode 4: AI, Robot

Forget what sci-fi has told you about superintelligent robots that are uncannily human-like; the reality is more prosaic.

Episode 5: Out of the lab
Episode 5: Out of the lab

How AI could be used to save the sight of thousands, help us solve one of the most fundamental problems in biology and combat climate change.

Episode 6: AI for everyone
Episode 6: AI for everyone

Hannah explores some of the concerns about the way AI might be implemented, used and abused.

Episode 7: Towards the future
Episode 7: Towards the future

AI researchers around the world are trying to create a general purpose learning system that can learn to solve problems without being taught how.

Episode 8: Demis Hassabis - The interview

In this special extended episode, Hannah meets the CEO and co-founder of DeepMind for a personal take on the future of AI.

Presenter bio

Hannah Fry

Professor Hannah Fry is an award-winning science presenter, public speaker, bestselling author, and academic known for her joyful ability to bring maths to life for audiences of all interests and abilities. Hannah is a regular host of BBC programmes and podcasts and is a Professor in the Mathematics of Cities at the Centre for Advanced Spatial Analysis at UCL.

Learn more here.

Credits

Thank you!

We’d like to extend a huge thank you to everyone who has asked us questions and inspired us to make this podcast; and to our talented presenter, amazing contributors and creative producers who helped craft our initial idea into the final programmes. We really enjoyed making this podcast and hope you enjoy listening too!

Season 2
Presenter: Hannah Fry
Series Producer: Dan Hardoon
Production support: Jill Achineku
Sounds design: Emma Barnaby
Music composition: Eleni Shaw
Sound Engineer: Nigel Appleton
Editor: David Prest

Season 1
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)