'We have to stop it taking over' - the past, present and future of AI with Geoffrey Hinton

Video Description

Listen to Geoffrey Hinton, the 'Godfather of AI', talk about the past, present and future of AI, including whether AI will ever be smarter than us, and whether we should be doing more to guard against the risks of super intelligent AI. This was originally an ad-free exclusive for our Science Supporter members. Join now for early access to all our lectures, exclusive Q&As from our speakers - and to support our charitable work of bringing science to the public: https://www.youtube.com/channel/UCYeF244yNGuFefuFKqxIAXw/join Watch Geoffrey's full talk about AI here: https://youtu.be/IkdziSLYzHw 00:00 Introduction 00:38 When was AI as a theoretical concept first conceived? 1:38 Why was your 1986 paper about back propagation so important? 2:40 How does back propagation work? 4:06 How did an increase in data and compute power change the field of AI? 5:09 How powerful are the AI models we have today? 5:52 Do chatbots really understand what they're saying? 6:39 How should governments respond to AI, and are they doing enough? 7:17 What is a super intelligence? 8:11 Why would an AI model want more power than us? 9:15 Do you feel a sense of responsibility for how AI is developing? 9:57 What regulation and framework would ensure AI is used for good? 10:42 Do you trust governments to put these frameworks in place? 10:51 How will AI change scientific discovery and research? Join this channel to get access to perks: https://www.youtube.com/channel/UCYeF244yNGuFefuFKqxIAXw/join Subscribe for regular science videos: http://bit.ly/RiSubscRibe --- Geoffrey Hinton is Professor Emeritus at the University of Toronto, and a world renowned expert in the field of deep learning. He is often referred to as the "Godfather of AI", and in 2024 was jointly awarded the Nobel Prize in Physics "for foundational discoveries and inventions that enable machine learning with artificial neural networks". He is a fellow of the Royal Society and the Royal Society of Canada, and has been recognised with many awards around the world including the Turing Award, the Royal Society Royal Medal, and Dickson Prize. Hinton received a BA in Experimental Psychology from the University of Cambridge in 1970 and his PhD in Artificial Intelligence from the University of Edinburgh in 1978. Following postdoctoral work at Sussex University and the University of California San Diego, he joined the Computer Science department at Carnegie Mellon University, before moving to the Department of Computer Science at the University of Toronto in 1987. He set up the Gatsby Computational Neuroscience Unit at University College London before becoming University Professor in Toronto in 2006 and latterly University Professor Emeritus. Since 2017, Hinton has been Chief Scientific Advisor at the Vector Institute in Toronto. -- The Ri is on Twitter: http://twitter.com/ri_science and Facebook: http://www.facebook.com/royalinstitution and TikTok: https://www.tiktok.com/@ri_science Listen to the Ri podcast: https://podcasters.spotify.com/pod/show/ri-science-podcast Donate to the RI and help us bring you more lectures: https://www.rigb.org/support-us/donate-ri Our editorial policy: https://www.rigb.org/editing-ri-talks-and-moderating-comments Subscribe for the latest science videos: http://bit.ly/RiNewsletter Product links on this page may be affiliate links which means it won't cost you any extra but we may earn a small commission if you decide to purchase through the link.