Join Professor Hannah Fry at the AI for Science Forum for a fascinating conversation with Google DeepMind CEO Demis Hassabis. They explore how AI is revolutionizing scientific discovery, delving into topics like the nuclear pore complex, plastic-eating enzymes, quantum computing, and the surprising power of Turing machines. The episode also features a special 'ask me anything' session with Nobel Laureates Sir Paul Nurse, Jennifer Doudna, and John Jumper, who answer audience questions about the future of AI in science.

Watch the episode here, and catch up on all of the sessions from the AI for Science Forum here.

Please subscribe on your preferred podcast platform. Want to share feedback? Why not leave a review? Have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.

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 subscribe on your preferred podcast platform. Want to share feedback? Why not leave a review? Have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.

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:

• Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach

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

Want to share feedback? Why not leave a review on your favorite streaming platform? Have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.