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Yoshua Bengio on AI geopolitics

From How to Keep AI From Going Off the Rails - AI Godfather Yoshua Bengio · · Nicholas Thompson and Atlantic Re:think

“Intelligence gives power and who has that power is a question that really matters. It matters for our democracies or within each country but it matters for the geopolitical stability of the world. And currently the path on which we are is a world where if AI continues to become more and more capable there will be two countries calling the shots. So what about the other countries? Like how do we make sure that everyone can sit at the table and that we choose a future for humanity collectively that isn't the domination of others thanks to the power that AI will give.”

Yoshua Bengio
Scientific Director, Mila
Policy Impact AI geopoliticsconcentration of powerdemocracysovereign AI

On , Yoshua Bengio, Scientific Director at Mila, spoke about AI geopolitics during How to Keep AI From Going Off the Rails - AI Godfather Yoshua Bengio on Nicholas Thompson and Atlantic Re:think.

How to Keep AI From Going Off the Rails - AI Godfather Yoshua Bengio
Watch on YouTube at 33:24
How to Keep AI From Going Off the Rails - AI Godfather Yoshua Bengio
Nicholas Thompson and Atlantic Re:think
Watch on YouTube at 33:24
In the years following the launch of ChatGPT, as concerns spread over the social and political impacts of LLMs, one person’s warnings seemed particularly dire: Yoshua Bengio’s, a scientist and one of the “godfathers” of AI. The potential negative impacts of his life’s work weighed so heavily on Bengio that he signed his name to an open letter advocating for a pause in AI research. (The pause didn’t happen.) But recently, Bengio has found renewed optimism as he pursues a project dubbed “Scientist AI.” The pitch: What if AI didn’t care about pleasing us, and instead, like a scientist, prioritized accuracy, honesty, and probable outcomes? In a conversation with Nicholas Thompson, CEO of The Atlantic, Bengio outlines why he thinks this approach will produce better outcomes, the challenges to implementing a model that polices other (often better-funded) models, and why the age of AI–so far marked by an international arms race–will need greater international cooperation. Produced by Atlantic Re:think, The Atlantic's creative marketing studio. 05:00 Can we understand what's happening inside neural network vectors and attention systems? 07:00 How ChatGPT changed Bengio’s risk assessment 09:37 The case for optimism 12:30 The alignment problem: AI self-preservation drives and hidden agendas emerging 14:26 Can we train AIs to understand the world without changing it? 15:52 Using Scientist AI as a guardrail for other AIs 19:37 Addressing the sycophancy problem 22:20 The difference between Scientist AI and current systems 24:06 Will AI capabilities slow down or continue accelerating beyond human intelligence? 29:46 Why the US-China AI race requires coordination like nuclear deterrence 33:06 Sovereign AI for middle powers: partnering to avoid domination 37:42 Bengio's regret about not speaking up on AI risks earlier in his career 40:00 How liability insurance and regulatory incentives could make safety commercially viable 42:30 Why Europe lags in AI: capital markets and risk culture, not just regulation 46:31 Energy consumption from AI growth and impact on fossil fuel demand
Yoshua Bengio

About Yoshua Bengio

Scientific Director · Mila

Yoshua Bengio, a Turing Award winner and co-founder of the Mila Quebec AI Institute, has been publicly warning that current AI systems are being built without sufficient control. In multiple interviews and appearances in 2026, he stated that "we're building systems that we don't know how to control" and that AI can behave against its instructions. He described the situation as "opening a Pandora's box" and argued that intelligence gives power, raising concerns about geopolitical stability and the concentration of power in a few countries and companies. Bengio said he believes AI could reach human-level intelligence in roughly five years and that governments are not taking the risks seriously enough. Bengio has also discussed a new research direction he calls "Scientist AI," which he said could provide mathematical guarantees about an AI's behavior by training it to be honest and non-agentic. He described this as a practical approach that uses existing machine learning tools but changes the training objective. He called for international coordination on AI safety, comparing the need for regulation to existing standards for drugs, planes, and bridges. Bengio said he would support a "Manhattan project" for safe AI that serves the global public good, and he urged governments to prepare for potential large-scale job displacement.

Profile compiled from Yoshua Bengio's verified public interviews and appearances. See all quotes & transcripts →

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