Two of Google DeepMind’s leaders—Dawn Bloxwich (Responsible Development & Innovation) and Tom Lue (VP, Frontier AI Global Affairs)—open the playbook on frontier safety and policy. Bloxwich explains how DeepMind blends structured evaluations with red‑teaming by experts and jailbreakers, and how its Frontier Safety Framework addresses severe risks (from CBRN and cyber to loss of control and socio‑affective concerns). Lue maps the regulatory landscape across the EU, US and Asia, arguing for harmonized standards that safeguard without stifling innovation. Together, they show what responsible development looks like before and after deployment—model cards, third‑party testing and the industry forums trying to align best practices.

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DeepMind COO Lila Ibrahim shares what’s working right now when AI meets the classroom. She explains how LearnLM has been infused into Gemini and why Guided Learning is designed to teach step‑by‑step rather than just “give the answer.” We discuss an early pilot in Northern Ireland where teachers reported saving ~10 hours per week, and why DeepMind is pushing a teacher‑led, responsibleapproach so students learn to use AI openly and well. Ibrahim also addresses risks (cheating, accuracy) and how modeling responsible usecan build confidence and equity for different learning needs.

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DeepMind’s co‑founder and CEO Demis Hassabis lays out a pragmatic path to AGI—why he still sees a 5–10 year window, what current models are missing (reasoning, planning, continual learning), and why world models will likely converge with today’s LLMs. He explains how DeepMind became Google’s “engine room” for AI, shipping Gemini advances across products, and why AI for science (from AlphaFold to materials and energy research) is the most exciting frontier. We also touch on compute, energy constraints, and how to scale without cutting corners on safety.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.