
Co-President and Scientific Director of LawZero; Professor at Université de Montréal
A deep-learning pioneer who has increasingly directed his scientific leadership toward AI safety and the design of more controllable systems.
Yoshua Bengio is a computer scientist whose research has been central to the development of deep learning. He earned his doctorate at McGill University and joined the Université de Montréal in 1993. His work investigated how learning systems could develop useful representations, including representations of language, without depending solely on manually engineered rules.
Bengio contributed to neural language modeling and the methods used to train and understand deep networks. Alongside Geoffrey Hinton and Yann LeCun, he received the 2018 ACM A. M. Turing Award for contributions that made deep neural networks a critical component of computing. The recognition reflected a long research program rather than a single commercial application.
He founded Mila, the Quebec-based AI research institute, and helped develop Montreal as a major center for machine-learning research. His academic and institutional work includes training researchers and connecting universities with a wider research community. Those contributions helped expand the field’s capacity to investigate learning systems and apply them in different settings.
Bengio’s more recent work places increased emphasis on AI safety and governance. He co-founded LawZero in 2025 and serves in its scientific leadership, while remaining associated with Mila and the Université de Montréal. This phase of his career examines how the design of advanced systems might support safer behavior, extending questions about learning algorithms into questions about control and public consequences.
Developed influential research on neural networks and learned representations, including methods that helped improve language modeling and the training of deep systems.
Established the research community that became Mila, helping develop a major academic center for machine learning research and researcher training.
Helped establish LawZero in 2025 to pursue research on safe AI and systems intended to reduce risks associated with increasingly capable models.