Artificial Intelligence/AI Books
Last updated: October 31, 2024
As artificial intelligence becomes more important in today's increasingly digitised world, here are some AI books to get you up to speed. Most of them are written for the general public and don't require specialist knowledge. For example, Stuart Russell, a professor at Berkeley and co-author of one of the top-ranked computer science/AI textbooks (according to the Open Syllabus Project), has also written a popular book about AI: Human Compatible.
Some AI books focus on its huge potential; others warn of its pitfalls if it's not handled with sufficient caution and care. Several look at the ethical aspects of AI and digital technology in general, including anything from worries about large-scale surveillance by authoritarian states to tricks that get you spending too much time on your screen. Hovering over many of the debates is the prospect of 'superintelligence,' the day when AIs are smarter than humans, a moment which may have serious consequences for our well-being (and predicted to happen in 2045 in The Singularity is Near by Ray Kurzweil).
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Evil Robots, Killer Computers, and Other Myths: The Truth About AI and the Future of Humanity
by Steve Shwartz -
2
Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics
by Gerhard Pilcher & Jeff Deal -
3
Digital Decisioning: Using Decision Management to Deliver Business Impact from AI
by James Taylor -
4
The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement
by Andrew Guthrie Ferguson -
5
Handbook of Statistical Analysis and Data Mining Applications
by Robert Nisbet, John Elder, Gary D. Miner
The best books on Machine Learning, recommended by Eric Siegel
The best books on Machine Learning, recommended by Eric Siegel
Machine learning uses data to predict outcomes, explains Eric Siegel, a former professor at Columbia who now advises companies on deploying it in their business. Unlike artificial intelligence, it’s a real technology with a proven track record, he says. He recommends practical books on machine learning that are accessible to the layperson and useful to anyone looking to use it in their business or organization.
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AI 2041: Ten Visions for Our Future
by Chen Qiufan & Kai-Fu Lee -
2
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
by Kate Crawford -
3
Artificial Intelligence: A Modern Approach
by Peter Norvig & Stuart Russell -
4
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos -
5
Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
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. In January 2023, we asked 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. This week we caught up with ChatGPT to find out if there were any new AI books it wanted to recommend in the year since we spoke. Read more nonfiction book recommendations on Five Books
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Zed: A Novel
by Joanna Kavenna -
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
by Cathy O'Neil -
3
Mindf*ck: Inside Cambridge Analytica’s Plot to Break the World
by Christopher Wylie -
4
Algorithms of Oppression: How Search Engines Reinforce Racism
by Safiya Umoja Noble -
5
AI Ethics
by Mark Coeckelbergh
The best books on Digital Ethics, recommended by Carissa Véliz
The best books on Digital Ethics, recommended by Carissa Véliz
Philosophers have a lot to add to debates about digital technology and the moral issues raised by its rapid rise, argues Carissa Véliz, a professor at the University of Oxford’s Institute for Ethics in AI. Here she talks us through books for the general reader that introduce some of the challenges of digital ethics, from concerns about privacy and bias to the threat to democracy and the future of humanity.
The best books on Artificial Intelligence, recommended by Calum Chace
It could lead us all to immortality or spell the end of the human race. Author Calum Chace picks the best books on Artificial Intelligence or AI.
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Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
by Kate Crawford -
2
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
by Aaron Roth & Michael Kearns -
3
Human Compatible: Artificial Intelligence and the Problem of Control
by Stuart Russell -
4
The Technological Singularity
by Murray Shanahan -
5
Moral Machines: Teaching Robots Right From Wrong
by Wendell Wallach and Colin Allen -
6
2001: A Space Odyssey
by Arthur C. Clarke
Ethics for Artificial Intelligence Books, recommended by Paula Boddington
Ethics for Artificial Intelligence Books, recommended by Paula Boddington
Advances in artificial intelligence pose a myriad of ethical questions, but the most incisive thinking on this subject says more about humans than it does about machines, says Paula Boddington, philosopher and author of a recent AI ethics textbook. We first spoke to Paula in 2017—a long time ago in a fast-moving field. This week we caught up with her to find out what’s happened since then and which new books have taken the conversation over ethics and AI further.
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Statistical Evidence: A Likelihood Paradigm
by Richard Royall -
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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
by Nathan Yau -
3
Storytelling with Data: A Data Visualization Guide for Business Professionals
by Cole Nussbaumer Knaflic -
4
An Introduction to Statistical Learning: with Applications in R
by Daniela Witten, Gareth James, Robert Tibshirani & Trevor Hastie -
5
Design Thinking: Understanding How Designers Think and Work
by Nigel Cross
The best books on Data Science, recommended by Roger D. Peng
The best books on Data Science, recommended by Roger D. Peng
From complex techniques only used by academic statisticians, data science has risen to extreme popularity in only a few years. Roger D. Peng, Professor of Biostatistics at Johns Hopkins University and founder of one of the largest data science online courses, helps us understand this discipline and recommends the five best books to delve into it.
The best books on Transhumanism, recommended by Mark O'Connell
The journalist and author Mark O’Connell explored the nature of transhumanism—the belief that technology will help us evolve beyond our current physical and mental limitations—in his award-winning book To Be A Machine. Here he selects five key books that speak directly to the movement.
The best books on Watson, recommended by Stephen Baker
Former BusinessWeek writer recommends five books that deepen our understanding of the science and psychology behind Jeopardy!’s computer champion, Watson
The best books on Robotics, recommended by Daniel H Wilson
These days robotic technology is developing so fast that sci-fi is having a hard time keeping up, says best-selling author and roboticist, Daniel H Wilson. He picks the best books on robotics.