- Developers
- Learn about the critical safety and alignment challenges Google DeepMind is addressing in AI development.
- Business
- Understand the core risks and ethical considerations driving AI development at frontier labs.
- Everyday users
- Gain insight into how AI safety is being approached to ensure AI benefits everyone.
This is a solid interview with a key leader from a major AI lab discussing fundamental AI safety challenges.
AI Safety...Ok Doomer: with Anca Dragan
Audio streams from Hannah Fry. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google DeepMind's podcast features Anca Dragan discussing AI safety and alignment. Professor Hannah Fry interviews Dragan on building safe, capable AI models, preventing existential threats, and ensuring AI benefits everyone. The episode touches on critical challenges in AI development.
This podcast episode discusses how experts are trying to make sure artificial intelligence is safe and helpful for everyone. They explore how to prevent AI from causing big problems and ensure it works the way we intend.
This episode offers insights into the core challenges of AI safety and alignment from a Google DeepMind leader. It is for anyone concerned about AI's future impact and the ethical considerations of advanced AI. The discussion directly relates to ongoing efforts by all frontier labs, including Google Gemini, OpenAI, and Anthropic, to develop responsible AI systems and mitigate potential risks.
- HostHannah Fry
- GuestAnca Draganlead for AI safety and alignment, Google DeepMind
- Episode Title: AI Safety...Ok Doomer: with Anca Dragan
- Show: Google DeepMind: The Podcast
- Host: Hannah Fry
- Guest: Anca Dragan
- Guest Role: lead for AI safety and alignment at Google DeepMind
- Length: 38 minutes
Building safe and capable models is one of the greatest challenges of our time. Can we make AI work for everyone? How do we prevent existential threats? Why is alignment so important? Join Professor Hannah Fry as she delves into these critical questions with Anca Dragan, lead for AI safety and alignment at Google DeepMind.
For further reading, search "Introducing the Frontier Safety Framework" and "Evaluating Frontier Models for Dangerous Capabilities".
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
- Production support: Mo Dawoud
- 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
- 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!
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
- alignment
- Anca Dragan
- making sure AI does what humans intend and aligns with our values.
Can AI help us better predict the weather?
WithPeter Battaglia
The mathematics of AI uncertainty
WithZoubin Ghahramani
Questions people ask
- What are the main topics discussed in the episode?
- The episode covers building safe and capable AI models, preventing existential threats, and the importance of AI alignment.
- Where can I find more information on AI safety frameworks?
- The show notes suggest searching for 'Introducing the Frontier Safety Framework' and 'Evaluating Frontier Models for Dangerous Capabilities'.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.

