Here are 100 books that AI 2041 fans have personally recommended if you like
AI 2041.
Shepherd is a community of 12,000+ authors and super readers sharing their favorite books with the world.
I boast a two-decade-long career in the software industry. Over the years, I have diligently honed my programming skills across a multitude of languages, including JavaScript, C++, Java, Ruby, and Clojure. Throughout my career, I have taken on various management roles, from Team Leader to VP of Engineering. No matter the role, the thing I have enjoyed the most is to make complex topics easy to understand.
This book profoundly influenced my thinking process, combining the worlds of mathematics, art, and music. I was captivated by how the book explores the deep connections between Gödel’s incompleteness theorems, Escher’s art, and Bach’s art of counterpoint.
The book’s puzzles and thought experiments pushed me to think more abstractly and critically. Despite being dense, I found it incredibly rewarding and eye-opening. I recommend this book to anyone interested in logic, creativity, and the nature of human thought. It’s a masterpiece!
Douglas Hofstadter's book is concerned directly with the nature of maps" or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Goedel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.
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 have over 2 decades of finance control and general management experience spanning the manufacturing and retail sectors, in big names like LVMH. A finance controller’s job is all about efficiency and involves learning every new tool available that can help to achieve that goal. Through this work, I realized how many people are not ready for the tidal wave of disruption about to hit employees with AI and other technological changes. I was utterly shocked at not being able to find a single sensible guidebook with solutions actionable by workers.
The first comprehensive book on new tech and its impacts, following big steps made in AI progress in the early 2010s. The authors bring home the point that we are undergoing a watershed moment as tools no longer substitute merely for physical labor encroach on mental tasks – hence the book’s title.
After centuries of fleeing blue-collar jobs to take refuge in cerebral work, we are being left with nowhere to run. Not only that, but past technology would automate a given task, whereas the looming Artificial Intelligence is bound to intervene in many, many tasks currently handled by humans.
In recent years, computers have learned to diagnose diseases, drive cars, write clean prose and win game shows. Advances like these have created unprecedented economic bounty but in their wake median income has stagnated and employment levels have fallen. Erik Brynjolfsson and Andrew McAfee reveal the technological forces driving this reinvention of the economy and chart a path towards future prosperity. Businesses and individuals, they argue, must learn to race with machines. Drawing on years of research, Brynjolfsson and McAfee identify the best strategies and policies for doing so. A fundamentally optimistic book, The Second Machine Age will radically alter…
I am a classicist (Greek and Latin) and a serious student of history. Modernity has obsessed me for the last 10 years, how it unfolds, what its implications are, whether it generates more gains than losses, whether it’s changing us profoundly and whether we can dodge it or not. Because of this interest (which I lecture on often) I am fascinated to see modernity’s gleanings in earlier times and always curious to see what other critics make of it. Because its effects will only grow down the road, the task of understanding its mechanisms and outcomes is one of extreme urgency, as these books illustrate in different ways.
This book is one of the nuttiest I’ve read in its imaginings of a modern world on steroids. The part that teases most is that its predictions might come true.
I know our smartphones and laptops have changed our world, but cures that would extend longevity ad infinitum? Neural interfaces that would connect us directly to the internet? Nanobots that would reduce the cost of goods to zero?
Because the topic of modernity has come to engross me so, the big question always is, “How far will it carry us?” The answer to which (according to Kurzweil) is much farther than you can possibly imagine and much sooner than you think. One should have one’s mind blown every couple of years, and Kurzweil does exactly that.
"Startling in scope and bravado." -Janet Maslin, The New York Times
"Artfully envisions a breathtakingly better world." -Los Angeles Times
"Elaborate, smart and persuasive." -The Boston Globe
"A pleasure to read." -The Wall Street Journal
One of CBS News's Best Fall Books of 2005 * Among St Louis Post-Dispatch's Best Nonfiction Books of 2005 * One of Amazon.com's Best Science Books of 2005
A radical and optimistic view of the future course of human development from the bestselling author of How to Create a Mind and The Singularity is Nearer who Bill Gates calls "the best person I know at…
I have over 2 decades of finance control and general management experience spanning the manufacturing and retail sectors, in big names like LVMH. A finance controller’s job is all about efficiency and involves learning every new tool available that can help to achieve that goal. Through this work, I realized how many people are not ready for the tidal wave of disruption about to hit employees with AI and other technological changes. I was utterly shocked at not being able to find a single sensible guidebook with solutions actionable by workers.
A wakeup call for many. Martin made the case of how tech is accelerating and impacting work, bringing the threat of massive unemployment to the public scene, and insisting that it’s not only blue-collar jobs that are concerned.
Critics noted a narrow stance that fails to account for factors like shifting demographics and trends like gigging. And massive unemployment has not yet materialized, though to his defense less than a decade has passed since. The only remedy from Martin – Universal Basic Income – is not a miracle solution applicable worldwide.
The book’s focus is more on convincing audiences of the upcoming problems than working on solutions. Setting aside these critics, Rise of the Robots remains an undeniable classic for anyone curious about tech’s impact on work.
Winner of the 2015 FT & McKinsey Business Book of the Year Award A New York Times Bestseller Top Business Book of 2015 at Forbes One of NBCNews.com 12 Notable Science and Technology Books of 2015What are the jobs of the future? How many will there be? And who will have them? As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence is already well on its way to making good jobs" obsolete: many paralegals, journalists, office workers, and even computer programmers are poised to be replaced by robots and smart…
I spent over forty years developing complex, software-intensive systems, and the Association of Computing Machinery honored me with the title of distinguished engineer. AI and robotics have been my main technical focus for the last 5 years. For the last couple of years, I have been binge-watching videos on advances in AI and robotics and binge-reading books on the topic. I am also a multi-award-winning author of science fiction novels and short stories. Most of the short stories in my coming book involve AI and robots.
I loved this book because it provides a unique view of the ramifications of AI, including its impact on politics, international relations, and the military. While not a book one would use to learn the basics of the technology of artificial intelligence, it nevertheless provides a useful view of its important non-technical ramifications.
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 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.
This book is as close as you can get to making sense of intelligence in a way that enriches our understanding of AI. And it opens the door with a bang: Starting from human intelligence, it is highlighted that how a brain made of simple cells creates intelligence remains a mystery.
I appreciate the strength of the book which does not surrender in front of the immense obstacle of figuring out the most complex system in the known universe, our brain, but it moves on and eloquently expresses the ultimate goal of thousands of scientists: to understand the mechanics of the human mind.
This proposed theory of intelligence allowed me to lay the foundation of comparing human and machine intelligence in a meaningful manner.
For all we hear of neuroscience's great advances, the field has generated more questions than answers. We know that the brain combines sensory input from all over your body into a single perception, but not how. We think brains "compute" in some sense, but we can't say what those computations are. We believe that the brain is organized as a hierarchy, with different pieces all working collaboratively to make a single model of the world. But we can explain neither how those pieces are differentiated, nor how they collaborate.
Neuroscientist and computer engineer Jeff Hawkins argues that it's so hard…
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.
This is the book I suggest to people who worry that AI will take their jobs or control the world.
These U of Toronto economists make a case for AI as a disruptor of systems and power structures – not on their own, but because of the decision makers who control them. Those companies won’t necessarily be Alphabet, Amazon, or Meta. Their competitive advantage – access to data – will now be available cheaply.
It’s judgment that’s at a premium now. After reading this, I feel pretty trusting of AI. I’m just not so sure about people.
Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare.
Artificial intelligence (AI) has impacted many industries around the world-banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption.
What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet…
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…
