Here are 100 books that Power and Prediction fans have personally recommended if you like
Power and Prediction.
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I’m a mathematics professor who ended up writing the internationally bestselling novel The Death of Vishnu (along with two follow-ups) and became better known as an author. For the past decade and a half, I’ve been using my storytelling skills to make mathematics more accessible (and enjoyable!) to a broad audience. Being a novelist has helped me look at mathematics in a new light, and realize the subject is not so much about the calculations feared by so many, but rather, about ideas. We can all enjoy such ideas, and thereby learn to understand, appreciate, and even love math.
A primary reason to love math is because of its usefulness. This book shows two sides of math’s applicability, since it is so ubiquitously used in various algorithms.
On the one hand, such usage can be good, because statistical inferences can make our life easier and enrich it. On the other, when these are not properly designed or monitored, it can lead to catastrophic consequences. Mathematics is a powerful force, as powerful as wind or fire, and needs to be harnessed just as carefully.
Cathy O’Neil’s message in this book spoke deeply to me, reminding me that I need to be always vigilant about the subject I love not being deployed carelessly.
'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times
'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year
In this New York Times bestseller, Cathy O'Neil, one of the first champions of algorithmic accountability, sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric.
We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made…
I’m a storyteller writing on business and technology. I specialize in clear views of complex systems. When Juliette showed me her research on tech companies and AI responsibility, I saw the power of a book – the book that ultimately became The AI Dilemma. The core dilemma is that in the right hands the technology is needed, and in the wrong hands it’s dangerous. When Juliette asked me to coauthor it, I jumped at the chance. As we worked, I realized that the topic brought into focus all the research and thinking I’d ever done about human, organizational, and machine behavior.
If ever a subject deserved the sweeping hand of a highly skilled journalist/historian, it’s generative AI and machine learning. The field is shaped by its founders’ idiosyncratic and fascinating personalities.
NYTimes reporter Cade Metz observed many events first-hand. We read about Go Grandmaster Lee Sedol recovering from losing to Google’s AI by mastering the machine’s logic. We see Geoffrey Hinton flying supine because of his back problems, and the origins of Joy Buolamwini’s famous Gender Shades project.
We get the backstory to the most serious issues: like how well can AI developers be trusted to manage risk? As a journalist-historian myself, I deeply appreciate being immersed in contemporary history.
'This colourful page-turner puts artificial intelligence into a human perspective . . . Metz explains this transformative technology and makes the quest thrilling.' Walter Isaacson, author of Steve Jobs ____________________________________________________
This is the inside story of a small group of mavericks, eccentrics and geniuses who turned Artificial Intelligence from a fringe enthusiasm into a transformative technology. It's the story of how that technology became big business, creating vast fortunes and sparking intense rivalries. And it's the story of breakneck advances that will shape our lives for many decades to come - both for good and for ill. ________________________________________________
I’m a storyteller writing on business and technology. I specialize in clear views of complex systems. When Juliette showed me her research on tech companies and AI responsibility, I saw the power of a book – the book that ultimately became The AI Dilemma. The core dilemma is that in the right hands the technology is needed, and in the wrong hands it’s dangerous. When Juliette asked me to coauthor it, I jumped at the chance. As we worked, I realized that the topic brought into focus all the research and thinking I’d ever done about human, organizational, and machine behavior.
Another classic, which influenced my book. Ron is the founder of RiskThinking AI, which focuses on the financial effects of climate change.
His fascinating stories include one of the first fatalities from self-driving cars, when it struck a woman with a bicycle running to cross the road. Any human driver would have seen an uncertain image and slowed down, playing out a group of possible scenarios. But AI hasn’t learned that kind of humility.
Eventually, when it does, the machines and people will learn how to manage risk together, and that will lead to more courage. The best part of this book is his insight into how the use of new technology changes human behavior.
Our age of radical uncertainty requires a new way of assessing risk that pays more attention to the extreme outliers that too often become tomorrow’s reality.
Today’s models cannot cope with the frightening new unpredictable risks we face every day that frequently seem to come out of left field – the effects of climate change, a killer pandemic, a cascading wildfire, a financial crisis triggered by faceless algorithms, or a devastating cyber-attack that shuts down the electric power grid.
This accessible book advocates a new, more realistic approach to analyzing risk and strategizing—one that is less reliant on a single…
I embarked on this arduous journey of making sense of the I in AI while working as an Assistant Professor of Finance, which, however, began to look increasingly uninteresting and oppressive. With this innovative endeavor, I return home to philosophy. Apart from being passionate about AI in academia, I’m a tech entrepreneur by heart with three software start-ups in Germany, Switzerland, and Malawi under my belt. Moreover, I served as Deputy Director of and Head of AI at the Swiss Fintech Innovation Lab in Zurich, as Director of Startup Grind Geneva, and I continue to fulfill my role as start-up coach/judge and mentor in various startup programs.
AI is arguably the most disruptive technology that humankind has ever developed. AI development has come in different waves since the 1950s and, over time, the machine intelligence has increased.
Where will this ongoing trend lead us in the future? I love Kai-Fu Lee and Chen Qiufan’s book for two chief reasons: On the one hand, I found it highly rewarding as a reader to learn about the future of AI and its practical impact on our everyday life by gaining insights into today’s variety of AI methods, the challenges they pose as well as into how those challenges will be overcome in the next 10 to 20 years.
On the other hand, I have been deeply impressed by the strength of the author team with a complimentary skillset. While Kai-Fu Lee worked both in Chinese and US-American internet sector as a leading software engineer, thereby combining very interesting perspectives,…
A WALL STREET JOURNAL, WASHINGTON POST, AND FINANCIAL TIMES BEST BOOK OF THE YEAR
In this ground-breaking blend of imaginative storytelling and scientific forecasting, a pioneering AI expert and a leading writer of speculative fiction join forces to answer an imperative question: How will artificial intelligence change our world within twenty years?
AI will be the defining development of the twenty-first century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand new forms of communication and entertainment. In liberating us from routine work,…
I’m an economics professor, but I also have a column in Australia’s leading financial newspaper so I really appreciate authors who can tackle complex topics in an accessible manner. I’m also both extremely interested in and do academic research on topics to do with technologies like two-sided platforms, cryptocurrencies, blockchain, and artificial intelligence. All these books made me think harder about the big issues in these areas, and how to combine rigorous research with what is actually happening—often at breakneck speed—in the real-world digital economy.
This book helped me understand why advances in artificial intelligence are going to have a big impact on productivity and economic growth. I loved the analogies to old technologies like electrification of factories, and newer examples like how Team New Zealand used simulations to change racing tactics and boat design.
The book has an important, big idea at its heart. That idea is that AI helps organizations make better predications, and those better predictions allow organizations to be fundamentally redesigned to take advantage of this. This is where the AI productivity revolution comes from.
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.
But in Prediction Machines, three eminent economists recast the rise of AI…
Ever since I can remember I’ve been curious about history and how past events connect to our present; And how challenging it is to predict the future, even with all our advanced technologies. In the internet era, everything seems to be changing faster than ever before. I’m no expert, but I do know that if we don’t try to understand all the pieces of this complex puzzle, we’ll never be able to build the future we want. I don’t want to be left behind, so my book is an attempt at understanding the past and outlining a future of investing in people, the most undervalued asset class.
I love this book and try to reread it every couple of years.
This book doesn’t make any specific predictions about the future but instead identifies technological trends that are inevitable.
Trends like accessing, tracking, and sharing, just to name a few. I like to think of the future as an ever-evolving entity that we get to shape. Kelly explains how technology changes in patterns that we can anticipate.
If you feel like the increasing rate of technological change is getting too fast to keep up with, then I recommend reading—and rereading—The Inevitable.
“A quintessential work of technological futurism.” – James Surowiecki, strategy + business, “Best Business Books 2017 – Innovation”
From one of our leading technology thinkers and writers, a guide through the twelve technological imperatives that will shape the next thirty years and transform our lives
Much of what will happen in the next thirty years is inevitable, driven by technological trends that are already in motion. In this fascinating, provocative new book, Kevin Kelly provides an optimistic road map for the future, showing how the coming changes in our lives—from virtual reality in the home to an on-demand economy to…
I am a philosopher, neuroscientist, geostrategist, and futurologist. My work at the Geneva Centre for Security Policy, St. Antony’s College, and the World Economic Forum (as a member of the Global Future Council on the Future of Complex Risks) focuses on transdisciplinarity, with an emphasis on the interplay between philosophy, neuroscience, strategic culture, applied history, technology, and global security. I am particularly interested in the exponential growth of disruptive technologies, and how they have the potential to both foster and hinder the progress of human civilization. My mission is rooted in finding transdisciplinary solutions to identify, predict and manage frontier risks, both here on earth and in Outer Space.
This book is a timely primer on the promise and peril of artificial intelligence (AI) authored by an unlikely coalition of insightful thinkers: a 100-year-old diplomat, a former Google chief executive, and an M.I.T. professor.
They present an interesting overview of the range of AI technologies and their likely impact on many spheres of life, from medicine and the military to health care and urban development.
The result is an accessible, thought-provoking book that asks important questions about the role of machine learning in changing human society, for good and ill.
Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society—and what this technology means for us all.
An AI learned to win chess by making moves human grand masters had never conceived. Another AI discovered a new antibiotic by analyzing molecular properties human scientists did not understand. Now, AI-powered jets are defeating experienced human pilots in simulated dogfights. AI is coming online in searching, streaming, medicine, education, and many other fields and, in so doing, transforming how humans are experiencing reality.
I've been working in the field of AI for 40 years, first in graduate school and then as a professor. For the most part, I have had my head in the sand, focusing on the minutiae that occasionally lead to publications, the coins of the academic realm. When deep learning started exhibiting human-level pattern recognition abilities, the number of AI books for the general public began to swell. Unfortunately, the science-fiction scenarios were a bit much. Since understanding, recognizing, and admitting problems are vital steps toward a solution, I find these books to be the most important warnings of the impending tech-dominated future.
I have always been fascinated by feedback loops, so even though the positive feedbacks discussed in this book have a very negative impact on society, they stir my technical curiosity.
More importantly, Ward highlights a very real problem with AI technology and its deployment: the potential for automated recommendations and other nudges to move us, as a population, toward conformity and predictability.
Ward actually writes about 3 nested loops: 1) our evolved human tendencies, 2) the exploitation of those tendencies by human-based enterprises, such as capitalism and marketing, and 3) exploitation of those same tendencies by AI tools.
"The best book I have ever read about AI." -Roger McNamee, New York Times bestselling author of Zucked Artificial intelligence is going to change the world as we know it. But the real danger isn't some robot that's going to enslave us: It's our own brain. Our brains are constantly making decisions using shortcuts, biases, and hidden processes-and we're using those same techniques to create technology that makes choices for us. In The Loop, award-winning science journalist Jacob Ward reveals how we are poised to build all of our worst instincts into our AIs, creating a narrow loop where each…
I have loved science fiction ever since I was a kid and read all my Dad’s ancient issues of Analog Science Fiction and Factfrom the 1940s. The first book I can remember reading was The Green Hills of Earth anthology by Robert Heinlein. Fast forward to the 1990s, when, as a new professor of computer science, I began adding sci-fi short stories and movies as extra credit for my AI and robotics courses. Later as a Faculty Fellow for Innovation in High-Impact Learning Experiences at Texas A&M, I created the Robotics Through Science Fiction book series as a companion to my textbook, Introduction to AI Robotics.
When Kill Decision came out, I sent an email to all my Department of Defense colleagues saying: finally, a book that gets swarms, drones, computer vision, and lethal autonomous weapons right! The book shows behavioral robotics can duplicate insect intelligence to create simple, but relentlessly effective, drones. The inexpensive individual drones are limited in intelligence but a greater, more adaptive intelligence emerges from the swarm. It’s on par with a Michael Crichton technothriller with lots of action (plus romance), making it an easy read.
A scientist and a soldier must join forces when combat drones zero in on targets on American soil in this gripping technological thriller from New York Times bestselling author Daniel Suarez.
Linda McKinney studies the social behavior of insects—which leaves her entirely unprepared for the day her research is conscripted to help run an unmanned and automated drone army.
Odin is the secretive Special Ops soldier with a unique insight into a faceless enemy who has begun to attack the American homeland with drones programmed to seek, identify, and execute targets without human intervention.
I’ve been a geeky kid all my life. (I don’t think I’ve quite grown up yet.) Born in the 1970s, my childhood was a wonderful playground of building robots and software. I was awarded one of the early degrees in AI, and a PhD in genetic algorithms. I’ve since spent 25 years exploring how to make computers think, build, invent, compose… and I’ve also spent 20 years writing popular science books. I’m lucky enough to be a Professor in one of the world’s best universities for Computer Science and Machine Learning: UCL, and I guess I’ve written two or three hundred scientific papers over the years. I still think I know nothing at all about real or artificial intelligence, but then does anyone?
When I’m not developing AI methods (or writing about them) I read. Most of what I read is science fiction. There’s nothing more imaginative than a good science fiction book, and many science fiction stories have inspired us to develop whole new technologies. This one probably won’t do that, but it has such a bizarre mind-bending world that I couldn’t resist recommending it. Niven is great at this kind of thing – the Ringworld books were a favourite of mine as a kid, and frankly, I could recommend another 30 of his books. But Integral Trees is entertaining, a little bizarre, and it even has diagrams to illustrate the underlying concepts at the start – what more could you ask for in a science fiction book?
“Niven has come up with an idea about as far out as one can get. . . . This is certainly classic science fiction—the idea is truly the hero.”—Asimov’s Science Fiction Magazine
When leaving Earth, the crew of the spaceship Discipline was prepared for a routine assignment. Dispatched by the all-powerful State on a mission of interstellar exploration and colonization, Discipline was aided (and secretly spied upon) by Sharls Davis Kendy, an emotionless computer intelligence programmed to monitor the loyalty and obedience of the crew. But what they weren’t prepared for was the smoke ring–an immense gaseous envelope that had…
