Yoshua Bengio OC FRS FRSC (born March 5, 1964[3]) is a Canadian computer scientist, and a pioneer of artificial neural networks and deep learning.

[1] Bengio received the 2018 ACM A.M. Turing Award, often referred to as the "Nobel Prize of Computing", together with Geoffrey Hinton and Yann LeCun, for their foundational work on deep learning.

[17] His father, Carlo Bengio was a pharmacist and a playwright; he ran a Sephardic theater company in Montreal that performed pieces in Judeo-Arabic.

[18][23] Along with Geoffrey Hinton and Yann LeCun, Bengio is considered by journalist Cade Metz to be one of the three people most responsible for the advancement of deep learning during the 1990s and 2000s.

An interim version of the report was delivered at the AI Seoul Summit in May 2024, and covered issues such as the potential for cyber attacks and 'loss of control' scenarios.

[42][43] Speaking with the Financial Times in May 2023, Bengio said that he supported the monitoring of access to AI systems such as ChatGPT so that potentially illegal or dangerous uses could be tracked.

"[45] Bengio co-authored a letter with Geoffrey Hinton and others in support of SB 1047, a California AI safety bill that would require companies training models which cost more than $100 million to perform risk assessments before deployment.

[51] In 2022, he received the Princess of Asturias Award in the category "Scientific Research" with his peers Yann LeCun, Geoffrey Hinton and Demis Hassabis.

[58] In 2025 he was awarded the Queen Elizabeth Prize for Engineering jointly with Bill Dally, Geoffrey E. Hinton, John Hopfield, Yann LeCun, Jen-Hsun Huang and Fei-Fei Li.