"I'm very worried about AI taking over lots of mundane jobs... If wealth was equally distributed that would be great. But it's not going to be. In the systems we live in, that wealth is going to go to the rich, and not to the people whose jobs get lost... I certainly believe in universal basic income."

Dr. Geoffrey Hinton — British-Canadian scientist, University of Toronto Professor Emeritus, and Nobel-winning pioneer of deep learning — joins us to talk about AI’s impact on the future of work. Will automation replace millions of workers, or open new opportunities to augment human potential? We’ll discuss the social and economic stakes, from the risks of widespread job displacement to the possibilities of a productivity boom — and how ideas like Universal Basic Income can ensure the gains are better shared.

Dr. Hinton received the 2024 Nobel Prize in Physics and 2018 Turing Award (the “Nobel Prize of Computing”) for his pioneering work in deep learning and artificial neural networks. His company DNNResearch Inc. was acquired by Google in 2013 to become a part of Google Brain. In 2017, he co-founded Vector Institute, Canada’s leading AI research institute. His students have founded and led some of the world’s leading AI companies, including OpenAI. In 2023, he famously quit Google after spending a decade there, citing concerns over AI safety and existential risks.

Co-hosted in partnership with UBI Works. Quote above from Dr. Hinton’s BBC Interview.