{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"What's the Big Idea?","title":"Are we designing AI to serve us - or replace us? with David Gerhard","html":"","width":"100%","height":180,"duration":2260,"description":"A thought-provoking discussion with Dr. David Gerhard, a leading AI researcher and computer scientist on the rapid advancement of artificial intelligence, its potential to transform society, and the ethical challenges that come with it. In this conversation, interspersed with excerpts from AI pioneer and Nobel Laureate, Geoffrey Hinton’s Knight Distinguished Lecture, we hear how AI's decision-making processes differ from human cognition, about the risks and benefits of large language models, the role of governance, regulation, and international cooperation in shaping AI development, and the importance of designing AI to serve human values.\nAbout David Gerhard: \nProfessor and Department Head of Computer Science, University of Manitoba;\n2018 & 2014 Paragon Award of Innovation, University of Regina / Regina Chamber of Commerce);\n2016 Award for Excellence in Teaching, University of Regina Alumni Association;\n Co-founder; Co-owner; Head of research and applied innovation, Shiverware Interactive Software Developments, Inc;\nAbout Geoffrey Hinton\nEmeritus Distinguished Professor of Computer Science, University of Toronto; \nFellow of the Canadian Institute for Advanced Research;\nSet up the Gatsby Computational Neuroscience Unit at University College London;\nDirector of \"Neural Computation and Adaptive Perception\" program funded by the\n          Canadian Institute for Advanced Research (2004-2013);\nWorked at Google where he became a Vice President and Engineering Fellow (2013-2023);\nFellow of the UK Royal Society, the Royal Society of Canada, the Association for the\n        Advancement of Artificial Intelligence;\nOne of researchers who introduced the back-propagation algorithm and first to use\n         backpropagation for learning word embeddings;\nHis research group in Toronto made major breakthroughs in deep learning that have\n         revolutionized speech recognition and object classification;\nAwards include the David E. Rumelhart prize, the IJCAI award for research...","thumbnail_url":"https://img.transistorcdn.com/7vi4yoBJP_iRqThNDx4jqap02Iy8y0cq8pFen2wwOAY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzMzMzg3LzE2NjE4/ODkyOTUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}