Distinctive Voices – Stuart Russell & Song-Chun Zhu

On Artificial General Intelligence and AI Alignment

In this distinctive panel discussion, Prof. Stuart Russell and Prof. Song-Chun Zhu will exchange views on the perspectives towards Artificial General Intelligence (AGI) and its alignment with respect to different concerns like safety. The discussion will be moderated by Prof. Mark Nitzberg.

Prof. Stuart Russell (U.C. Berkeley)

Stuart Russell is a Professor of Computer Science at the University of California at Berkeley, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI and the Kavli Center for Ethics, Science, and the Public. He is a recipient of the IJCAI Computers and Thought Award and Research Excellence Award and held the Chaire Blaise Pascal in Paris. In 2021 he received the OBE from Her Majesty Queen Elizabeth and gave the Reith Lectures. He is an Honorary Fellow of Wadham College, Oxford, an Andrew Carnegie Fellow, and a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His book “Artificial Intelligence: A Modern Approach” (with Peter Norvig) is the standard text in AI, used in 1500 universities in 135 countries. His research covers a wide range of topics in artificial intelligence, with a current emphasis on the long-term future of artificial intelligence and its relation to humanity. He has developed a new global seismic monitoring system for the nuclear-test-ban treaty and is currently working to ban lethal autonomous weapons.

Prof. Song-Chun Zhu (PKU, THU, and BIGAI)

Song-Chun Zhu received his Ph.D. degree from Harvard University in 1996, and worked at Brown, Stanford, Ohio State before joining UCLA in 2002 where he became professor of Statistics and Computer Science in 2006, and directed the UCLA Center for Vision, Cognition, Learning and Autonomy (VCLA). In 2020 he returned to China to establish a non-profit research organization — Beijing Institute for General Artificial Intelligence (BIGAI) as the founding director, and he is appointed Chair Professor at Tsinghua and Peking Universities jointly, and Dean of the Institute for Artificial Intelligence, and Dean of the School of Intelligence Science and Technology at Peking University. He has published over 350 papers in computer vision, statistical modeling and learning, cognitive science, natural language & situated dialogue, and robot autonomy, and commonsense reasoning. He received a number of honors, including the Helmholtz Test-of-time award in ICCV 2013, the Aggarwal prize from the Int’l Association of Pattern Recognition in 2008, the David Marr Prize in 2003 for image parsing with Z. Tu et al, twice Marr Prize honorary nominations with Y. Wu et al in 1999 for texture modeling and 2007 for object modeling respectively. He received the Sloan Fellowship in 2001, a US NSF Career Award in 2001, and an US ONR Young Investigator Award in 2001. He is a Fellow of IEEE since 2011, and served as the general co-chair for CVPR 2012 and CVPR 2019.

Prof. Mark Nitzberg (U.C. Berkeley)

Dr. Mark Nitzberg is a computer scientist and advisor to government and industry on AI impacts and governance. He serves as founding Executive Director of the U.C. Berkeley Center for Human-Compatible AI, Head of Strategic Outreach at the Berkeley AI Research Lab, and Director of Technology Research at BRIE, the Berkeley Roundtable on the International Economy. In industry, he has built technology ventures applying AI in health care, finance, education and data analytics for developing regions. He has worked at Bell Laboratories, Microsoft, and Amazon, and run operations of up to 300 persons.

Co-author of The AI Generation — an examination of AI and how it reshapes human values, trust, and power around the world, he regularly publishes on AI developments.