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Yoshua Bengio on AI safety

From Yoshua Bengio: Towards an International Consensus on AI Risks and Safety · · Concordia AI

“The main conclusion of the report if you want to like oneliner is that unfortunately there is no currently known method to prevent the current risks and the future risks, the potentially catastrophic risks, for example of misuse and loss of control.”

Yoshua Bengio
Scientific Director, Mila
AI safetyrisk mitigationcatastrophic risks

On , Yoshua Bengio, Scientific Director at Mila, spoke about AI safety during Yoshua Bengio: Towards an International Consensus on AI Risks and Safety on Concordia AI.

Yoshua Bengio: Towards an International Consensus on AI Risks and Safety
Watch on YouTube at 6:09
Yoshua Bengio: Towards an International Consensus on AI Risks and Safety
Concordia AI
Watch on YouTube at 6:09
World-renowned AI expert #YoshuaBengio, known for his pioneering work in deep learning and as a Turing Award winner, has been raising awareness about AI's rapid advancement and its implications. He recently chaired a global group of 75 AI experts to publish the International Scientific Report on the Safety of Advanced AI. In the opening note, Professor Bengio shares key findings from the report and discuss open problems in AI Safety. #aisafety
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.

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