Here are 100 books that Human + Machine fans have personally recommended if you like
Human + Machine.
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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 have worked in the field of machine learning and predictive analytics for many years. Having started out as a technical specialist, I have become increasingly interested in the legal, ethical, and social aspects of these subjects. This is because it is these “soft issues” that often determine how successful these technologies are in practice and if they are viewed as a force for good or evil in wider society. This has led me to write several books focusing on the practical and cultural aspects of these subjects and how best to apply them for the benefit of business, individuals, and wider society.
As ever more powerful AI-based tools are created, Russell asks the question (and provides some answers) as to how we can ensure that we stay in the control of our creations. In particular, what safeguards are needed to protect us from something that will potentially be more intelligent than ourselves? Some might argue that this is all just science fiction and, even if it’s possible to build machines that are more intelligent than we are, it’s a problem for the distant future. However, there are many areas where AI is already making the key decisions about how we are treated. For example, whether or not to offer you a job or if you should get that loan you applied for. Consequently, I found this book to present a compelling case that controlling AI is something that we need to address as a matter of urgency, sooner rather than later.
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.
In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.…
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…
I am the co-author of Small Teaching K-8. I hold Massachusetts teacher licensure in English 5-12, Library k-12, and School Administration 5-8 as well as an M.Ed. from Boston College.
Why should we be emphasizing creativity in classrooms? In short order, our students’ careers will require them to augment the work of machines.
ChatGPT and DALI-2 are only the beginning. Du Sautoy explores the implications of artificial intelligence on the future of work. The Creativity Code is a reminder that technology is only as creative as its programmers—at least, for now.
Will a computer ever compose a symphony, write a prize-winning novel, or paint a masterpiece? And if so, would we be able to tell the difference?
As humans, we have an extraordinary ability to create works of art that elevate, expand and transform what it means to be alive.
Yet in many other areas, new developments in AI are shaking up the status quo, as we find out how many of the tasks humans engage in can be done equally well, if not better, by machines. But can machines be creative? Will they soon be able to learn from the…
I’m a journalist and a tinkerer. I’m fascinated not only by how things work but by how small levers can move mountains. Growing up in the workshop of my grandfather, an old Boston boatwright, I was mesmerized by the idea that a small rudder could maneuver a huge vessel. In college, I fell in love with how a small idea or expression could redirect a course of research or a country. As a self-taught maker of things, I appreciate how technologies empower us. I’ve chosen these books because they’re examples of how small ideas become things, lines of research, or patterns of thinking that shift human progress in unknowable ways.
I love gutsy books by outsiders, and Ms. Saxena, as a woman of color working in the Ivy League and the worlds of artificial intelligence and Big Data, is very much an outsider.
That makes her deep knowledge and insights into how AI and Big Data are changing business even that much more interesting. Plus, this is one of the only books I’ve read that explains how artificial intelligence works in a clear, direct way that doesn’t assume the reader already knows about things like machine learning and neural nets.
Have you heard about artificial intelligence (AI) and big data but felt they are technologies too big or too complicated for you or your business? Do you imagine AI as a Hollywood science fiction stereotype or something in the far and distant future?
Take heart. AI is none of those things. It's part of our everyday lives, and it has the power to transform your business.
This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses-including yours-by strategically using your data's latent, transformative potential.…
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 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 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.
Diamandis’ book is one of hope, sort of like applying Kurzweil’s futurism to pure business. And like his friend Kurzweil, the author’s enthusiasm is contagious: one emerges from this book ready to march forth and change the world.
Peter insists that while we may look back at the successes of Zuckerberg or Musk, the best is yet to come; that looking back a few decades from now, people will think: “this was a formidable time to set out and start a business”.
Indeed that was the case at the first stages of every industrial revolution, and the 4th should bear no different. Unless entrepreneurship is suffocated by Big Tech incumbents and overly cautious regulators.
"A visionary roadmap for people who believe they can change the world-and invaluable advice about bringing together the partners and technologies to help them do it." -President Bill Clinton
A radical, how-to guide for using exponential technologies, moonshot thinking, and crowd-powered tools, Bold unfolds in three parts. Part One focuses on the exponential technologies that are disrupting today's Fortune 500 companies and enabling upstart entrepreneurs to go from "I've got an idea" to "I run a billion-dollar company" far faster than ever before. The authors provide exceptional insight into the power of 3D printing, artificial intelligence, robotics, networks and sensors,…
I'm an author, advisor, speaker, podcaster, and citizen concerned about humanity’s relationship with advanced artificial intelligence. After following developments in AI for many years, I noticed a disconnect between the rapid rate of progress in AI and the public’s understanding of what was happening. The AI issue affects everyone, so I want everyone to be empowered to learn more about how AI will have a large impact on their lives. As a senior policy advisor and a member of the Board of Advisors for Canada's leading safety and governance network, books such as these help me stay informed about the latest developments in advanced artificial intelligence. I hope my recommendations will help you to critically consider how humans should co-exist with this revolutionary technology.
AI algorithms are increasingly used to decide what you see, if you’re hired, and who you match with socially or romantically.
There is much cause for concern because many of these algorithms are biased and return responses that indicate some degree of sexism or racism.
The main value of this book is that all those issues are recognized, but so is the notion that when an algorithm is biased, it is much easier to discover that and correct it than with a person.
Consequently, reforming algorithms likely presents a better option to reduce bias when people or things are sorted or assessed.
Much has been written about the challenges tech presents to equality and democracy. But we can either criticize big data and automation or steer it to do better. Lobel makes a compelling argument that while we cannot stop technological development, we can direct its course according to our most fundamental values.
With provocative insights in every chapter, Lobel masterfully shows that digital technology frequently has a comparative advantage over humans in detecting discrimination, correcting historical exclusions, subverting long-standing stereotypes, and addressing the world's thorniest problems: climate, poverty, injustice, literacy, accessibility, speech, health, and safety.
As a professional statistician, I am naturally interested in AI and data science. However, in our current information age, everyone, in all segments of society, needs to understand the basics of AI and data science. These basics include such things as what these disciplines are, what they can contribute to society, and perhaps most importantly, what can go wrong. However, I have found that much of the literature on these topics is highly technical and beyond the reach of most readers. These books are specifically selected because they are readable by virtually everyone, and yet convey the key concepts needed to be data-literate in the 21st century. Enjoy!
Books on AI often go to extremes, either promoting it as the solution to all the world’s problems, or depicting it as an evil that will destroy humanity.
This book is much more practical, and based on experience using AI in actual business applications. It is the result of considerable research, involving investigation of applications not only in silicon-valley, but from various business sectors, such as Airbus, Ping, Progressive Insurance, and Capital One Bank.
Don’t let the title fool you; this book is not simply a promotion of AI, but addresses the practical issues that have to be considered if success is to be achieved. For example, they argue that “the most important aspect in AI success is not machinery, but human leadership, behavior, and change.”
A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice.
Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures.
Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business…
