
AI in the Classroom with Irina Jurenka
10/23/24 • 39 min
How human should an AI tutor be? What does ‘good’ teaching look like? Will AI lead in the classroom, or take a back seat to human instruction? Will everyone have their own personalized AI tutor? Join research lead, Irina Jurenka, and Professor Hannah Fry as they explore the complicated yet exciting world of AI in education.
Further reading:
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar, TellTale Studios
- Commissioner & Producer: Emma Yousif
- Music composition: Eleni Shaw
- Camera Director and Video Editor: Daniel Lazard
- Audio Engineer: Perry Rogantin
- Video Studio Production: Nicholas Duke
- Video Editor: Bilal Merhi
- Video Production Design: James Barton
- Visual Identity and Design: Eleanor Tomlinson
- Production support: Mo Dawoud
- Commissioned by Google DeepMind
Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation!
How human should an AI tutor be? What does ‘good’ teaching look like? Will AI lead in the classroom, or take a back seat to human instruction? Will everyone have their own personalized AI tutor? Join research lead, Irina Jurenka, and Professor Hannah Fry as they explore the complicated yet exciting world of AI in education.
Further reading:
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar, TellTale Studios
- Commissioner & Producer: Emma Yousif
- Music composition: Eleni Shaw
- Camera Director and Video Editor: Daniel Lazard
- Audio Engineer: Perry Rogantin
- Video Studio Production: Nicholas Duke
- Video Editor: Bilal Merhi
- Video Production Design: James Barton
- Visual Identity and Design: Eleanor Tomlinson
- Production support: Mo Dawoud
- Commissioned by Google DeepMind
Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation!
Previous Episode

AI: Supercharging Scientific Exploration with Pushmeet Kohli
In this episode, Professor Hannah Fry sits down with Pushmeet Kohli, VP of Research at Google DeepMind to discuss AI’s impact on scientific discovery. They go on a whirlwind tour of scientific projects, touching on recent breakthroughs in AlphaFold, material science, weather forecasting, and mathematics to better understand how AI can enhance our scientific understanding of the world.
Further reading:
- Millions of new materials discovered with deep learning
- GraphCast: AI model for faster and more accurate global weather forecasting
- AlphaFold: A breakthrough unfolds (S2,E1)
- AlphaGeometry: An Olympiad-level AI system for geometry
- AI achieves silver-medal standard solving International Mathematical Olympiad problems
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar, TellTale Studios
- Commissioner & Producer: Emma Yousif
- Music composition: Eleni Shaw
- Camera Director and Video Editor: Tommy Bruce
- Audio Engineer: Perry Rogantin
- Video Studio Production: Nicholas Duke
- Video Editor: Bilal Merhi
- Video Production Design: James Barton
- Visual Identity and Design: Eleanor Tomlinson
- Production support: Mo Dawoud
- Commissioned by Google DeepMind
Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation!
Next Episode

The Ethics of AI Assistants with Iason Gabriel
Imagine a future where we interact regularly with a range of advanced artificial intelligence (AI) assistants — and where millions of assistants interact with each other on our behalf. These experiences and interactions may soon become part of our everyday reality.
In this episode, host Hannah Fry and Google DeepMind Senior Staff Research Scientist Iason Gabriel discuss the ethical implications of advanced AI assistants. Drawing from Iason's recent paper, they examine value alignment, anthropomorphism, safety concerns, and the potential societal impact of these technologies.
Timecodes:
- 00:00 Intro
- 01:13 Definition of AI assistants
- 04:05 A utopic view
- 06:25 Iason’s background
- 07:45 The Ethics of Advanced AI Assistants paper
- 13:06 Anthropomorphism
- 14:07 Turing perspective
- 15:25 Anthropomorphism continued
- 20:02 The value alignment question
- 24:54 Deception
- 27:07 Deployed at scale
- 28:32 Agentic inequality
- 31:02 Unfair outcomes
- 34:10 Coordinated systems
- 37:10 A new paradigm
- 38:23 Tetradic value alignment
- 41:10 The future
- 42:41 Reflections from Hannah
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar, TellTale Studios
- Commissioner & Producer: Emma Yousif
- Music composition: Eleni Shaw
- Camera Director and Video Editor: Daniel Lazard
- Audio Engineer: Perry Rogantin
- Video Studio Production: Nicholas Duke
- Video Editor: Bilal Merhi
- Video Production Design: James Barton
- Visual Identity and Design: Eleanor Tomlinson
- Production support: Mo Dawoud
- Commissioned by Google DeepMind
Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation!
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