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. He is a recipient of the IJCAI Computers and Thought Award and held the Chaire Blaise Pascal in Paris. In 2021 he received the OBE from Her Majesty Queen Elizabeth. 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.
Stuart Russell graduated from Oxford University in 1982 with a B.A. in physics with first-class honors, and from Stanford University in 1986 with a Ph.D. in computer science. Subsequently, he joined the University of California, Berkeley faculty, where he holds the Smith-Zadeh Chair in Engineering and is a Professor (previously Chair) of Electrical Engineering and Computer Sciences. In addition to serving as the US delegate to the Global Partnership on AI, he co-chairs the OECD Expert Group on AI Futures and the World Economic Forum Council on AI. He was also an Adjunct Professor of Neurological Surgery at UC San Francisco from 2011 to 2014.
The ACM Allen Newell Award, the AAAI Feigenbaum Prize, the World Technology Award, the Mitchell Prize of the American Statistical Association and the International Society for Bayesian Analysis, the ACM Karlstrom Outstanding Educator Award, the IJCAI Computers and Thought Award, the IJCAI Research Excellence Award, the ACM Allen Newell Award, and the AAAI/EAAI Outstanding Educator Award are among the honors bestowed upon Russell. Her Majesty Queen Elizabeth awarded him an OBE in 2021, and he also delivered the BBC Reith Lectures. In addition to being a fellow of AAAI, ACM, and AAAS, he is also an Andrew Carnegie fellow, an AI2050 senior fellow, and an honorary fellow of Wadham College in Oxford.
His work encompasses a broad spectrum of artificial intelligence subjects, such as computer vision, computational physiology, global seismic monitoring, planning, multitarget tracking, probabilistic reasoning, knowledge representation, machine learning, and philosophical underpinnings. His co-authored textbook “Artificial Intelligence: A Modern Approach” is utilized at more than 1,500 colleges across 135 nations. The threat posed by autonomous weaponry and the long-term development of artificial intelligence and its implications for mankind are among his current worries. His book “Human Compatible: AI and the Problem of Control” focuses on the latter issue.
2023
Stuart Russell claims that AI is a “civilization-ending” technology and demands a new strategy. He believes that this technology has the ability to alter the course of history. According to him, technology has the potential to either destroy society or raise living standards for people everywhere. He called on governments to regulate AI to make sure technology serves human interests and for businesses to rethink how they are developing AI at an event on April 5.
Russell stated at the lecture sponsored by the CITRIS Research Exchange and Berkeley AI Research Lab, “Intelligence really means the power to shape the world in your interests, and if you create systems that are more intelligent than humans either individually or collectively then you’re creating entities that are more powerful than us.”
A South Korea Central Bank study suggests AI could replace up to 4 million jobs, accounting for 14% of the country’s workforce, in the next two decades. Higher-income individuals and those with strong academic backgrounds are at risk. AI will increase demand for STEM disciplines, but also threaten knowledge work and improve productivity.
Latest Social posts Stuart J. Russell
When given context about a “green square” and a “blue circle”, how do language models bind corresponding shapes and colors?
Using causal experiments, we find that large enough language models learn simple structured representations for binding!
Even superhuman Go AI systems have surprising failure modes that can be manually exploited by a human once they know the trick. This emphasizes the importance of red teaming systems prior to deployment. Work performed at @farairesearch, CHAI and MIT https://t.co/7WGYvqjHbz
— Center for Human-Compatible AI (@CHAI_Berkeley) July 20, 2023
„How do we retain power over something that is more powerful than us and do that forever?“@Chai_Berkeley’s Professor Stuart Russell, expert for computer sciences, discusses potential risks of #AI. pic.twitter.com/UELiYZZoOG
