Stuart Russell
Stuart Russell is a British computer scientist. He is a professor of computer science as well as engineering at UC Berkeley, and an honorary fellow of Wadham College, Oxford.
Books by Stuart Russell
Artificial Intelligence: A Modern Approach
by Peter Norvig & Stuart Russell
Artificial Intelligence: A Modern Approach is by Peter Norvig, director of research at Google and Stuart Russell, Professor of Computer Science and Smith-Zadeh Professor in Engineering at UC Berkeley. It is one of the top-ranked textbooks on AI, according to the Open Syllabus Project.
Human Compatible: Artificial Intelligence and the Problem of Control
by Stuart Russell
***🏆 A Five Books Book of the Year ***
“There’s a whole clutch of AI books…People want to understand what’s going on. Human Compatible is a really clearly written one. It explains enough about how AI works, but also what some of the challenges are. The particular challenge the book focuses on is how to program AI systems so they do what we really want them to do, rather than just what we write down in the code that they then implement. It’s actually very difficult. Think about the effects of setting targets for public services, and how easily they got gamed. When you give a hospital a minimum amount of time before they admit people, they will do things like park patients in the waiting room or on trolleys so that the clock doesn’t start ticking too quickly. Or if you give an ambulance service a certain amount of time to get to patients, they will game it so they get there in time to meet their targets. It’s the same with AI. If you set them an explicit objective—which you have to do because how else are you going to get them to do something—how do you stop them gaming things in that way and delivering something that you don’t really want?” Read more...
The Best Economics Books of 2019
Diane Coyle, Economist
Interviews where books by Stuart Russell were recommended
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1
The Technology Trap: Capital, Labor, and Power in the Age of Automation
by Carl Benedikt Frey -
2
Human Compatible: Artificial Intelligence and the Problem of Control
by Stuart Russell -
3
Globalists: The End of Empire and the Birth of Neoliberalism
by Quinn Slobodian -
4
Extreme Economies
by Richard Davies -
5
Palaces for the People: How Social Infrastructure Can Help Fight Inequality, Polarization, and the Decline of Civic Life
by Eric Klinenberg
The Best Economics Books of 2019, recommended by Diane Coyle
The Best Economics Books of 2019, recommended by Diane Coyle
The urgency of the challenges facing society has led to a wonderful supply of books by leading thinkers on a variety of pressing topics. Economist Diane Coyle, a professor at the University of Cambridge and co-director of the Bennett Institute for Public Policy, recommends her top five economics books of 2019.
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1
Artificial Intelligence: A Modern Approach
by Peter Norvig & Stuart Russell -
2
Deep Learning (Adaptive Computation and Machine Learning series)
by Aaron Courville, Ian Goodfellow & Yoshua Bengio -
3
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos -
4
Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom -
5
Thinking, Fast and Slow
by Daniel Kahneman
The best books on Artificial Intelligence, recommended by ChatGPT
The best books on Artificial Intelligence, recommended by ChatGPT
Normally at Five Books we ask experts to recommend the best books in their field and talk to us about them in an interview, either in person, by phone or via Zoom. After a busy end-of-year, our human beings needed a few days off. Instead, we decided to ask the AI bot, ChatGPT, to recommend books to us on the topic of AI. Being an AI doesn’t necessarily make the chatbot an expert on AI books, but we thought it might have some ideas. Do not fear, next week we’ll be back with real human beings (unless readers feel the AI did a better job, in which case we’re happy to step aside).
