Category: AI safety

Towards a Cautious Scientist AI with Convergent Safety Bounds

Published 26 February 2024 by yoshuabengio

What can’t we afford with a future superintelligent AI? Among others, confidently wrong predictions about the harm that some actions could yield. Especially catastrophic harm.…

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Personal and Psychological Dimensions of AI Researchers Confronting AI Catastrophic Risks

Personal and Psychological Dimensions of AI Researchers Confronting AI Catastrophic Risks

Published 12 August 2023 by yoshuabengio

On May 31st, 2023, a BBC web page headlined: “AI ‘godfather’ Yoshua Bengio feels ‘lost’ over life’s work.” However, this is a statement I never…

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My testimony in front of the U.S. Senate – The urgency to act against AI threats to democracy, society and national security

My testimony in front of the U.S. Senate – The urgency to act against AI threats to democracy, society and national security

Published 25 July 2023 by yoshuabengio

The capabilities of AI systems have steadily increased with deep learning advances for which I received a Turing Award alongside Geoffrey Hinton (University of Toronto)…

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FAQ on Catastrophic AI Risks

FAQ on Catastrophic AI Risks

Published 24 June 2023 by yoshuabengio

I have been hearing many arguments from different people regarding catastrophic AI risks. I wanted to clarify these arguments, first for myself, because I would…

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How Rogue AIs may Arise

How Rogue AIs may Arise

Published 22 May 2023 by yoshuabengio

Scenarios giving rise to potentially rogue AIs, from intential genocidal behavior of some humans to unintentional catastrophe arising because of AI misalignment.

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AI Scientists: Safe and Useful AI?

Published 7 May 2023 by yoshuabengio

There have recently been lots of discussions about the risks of AI, whether in the short term with existing methods or in the longer term…

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Recognized worldwide as one of the leading experts in artificial intelligence, Yoshua Bengio is most known for his pioneering work in deep learning, earning him the 2018 A.M. Turing Award, “the Nobel Prize of Computing,” with Geoffrey Hinton and Yann LeCun.

He is Full Professor at Université de Montréal, and the Founder and Scientific Director of Mila – Quebec AI Institute. He co-directs the CIFAR Learning in Machines & Brains program as Senior Fellow and acts as Scientific Director of IVADO.

In 2019, he was awarded the prestigious Killam Prize and in 2022, became the most cited computer scientist in the world. He is a Fellow of both the Royal Society of London and Canada, Knight of the Legion of Honor of France, Officer of the Order of Canada, Member of the UN’s Scientific Advisory Board for Independent Advice on Breakthroughs in Science and Technology since 2023 and a Canada CIFAR AI Chair.

Concerned about the social impact of AI, he actively contributed to the Montreal Declaration for the Responsible Development of Artificial Intelligence.