Here are 100 books that The Proving Ground fans have personally recommended if you like
The Proving Ground.
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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…
During the 1970s and 80s, the Soviet Union penetrated the corporate economy and financial systems of the United States to engage in industrial espionage.
Cold Warrior is the story of Kasia Kerenski, a street mime who is “discovered” to work as a Hollywood actress. Coerced into becoming a double agent…
I have spent over a decade studying and teaching digital media, communication, and technology policy, while also working in journalism and media production. My passion for this topic comes from watching how technology quietly reshapes everyday life, from how people form relationships to how societies govern themselves. I am fascinated by the space where media, culture, and human behavior intersect, especially when change feels invisible but profound. Writing and reading about AI helps me make sense of these transformations, and I care deeply about helping people remain thoughtful, ethical, and human in an increasingly algorithmic world.
I loved this book because it completely reframed how I think about AI’s physical and environmental footprint.
While reading, I realized how often discussions about artificial intelligence ignore the material world behind the screens. Crawford’s perspective pushed me to think beyond software and consider labor, extraction, energy, and global inequality. It challenged my own assumptions as a technology scholar and reminded me that every algorithm is embedded in real-world systems.
This book expanded my understanding of AI from a technical issue into a planetary one, which I found both unsettling and essential.
The hidden costs of artificial intelligence-from natural resources and labor to privacy, equality, and freedom
"This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained."-New Yorker
"A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future."-John Thornhill, Financial Times
"It's a masterpiece, and I haven't been able to stop thinking about it."-Karen Hao, senior editor, MIT Tech Review
What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our…
I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
I must confess the book title drew me to the book as I sought to understand and learn more about the ethics of the misuse of AI.
Having worked on committees in the AU and advised various entities in the United States, the subject of ethics is front and center. The expanding use of large language models and rise of generative AI makes the potential for harm stronger than ever.
AI is poised to change our lives and society in ways we have not imagined much like the iPhone when it first arrived. Understanding its potential is useful but understanding its potential for harm is mandatory.
I found this book to be enlightening on the ethical components of AI and technology.
Joth Proctor is an under-employed, criminal defense lawyer based in Arlington, Virginia, where a mix of southern charm, shady business dealings, and Washington, D.C. intrigue pervade the story. Upon the suspicious death of the wife of a close friend, Proctor enters a tangled web of drug and alcohol abuse, real…
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 really loved this book because of its wide breadth. If you are only going to read a single book on AI and its ramifications, this would be my top recommendation.
It covers everything from the history of artificial intelligence to what the short- and mid-term future will look like. This book provides a solid foundation to help you prepare for a future dominated by AIs and robots.
"Machines of Tomorrow offers a fascinating journey into the future of AI, providing a unique perspective that combines technology, economics, geopolitics, and history." — PASCAL BORNET, Technology Influencer, 2 million followers.
How AI Will Shape Our World.
Written in an easy-to-read style accessible to everyone, "Machines of Tomorrow" grounds the reader in a thorough history and description of Artificial Intelligence, enabling an appreciation of its real trajectory and ultimately a deeper level of engagement with the core concept of the book: what should societies expect from AI in the coming decades?
I was raised in a large family, and we were taught to be respectful, honest, and polite to everyone. I've never been able to understand the mind of a 'nasty' person or how a person can hurt another. When these people are brought to justice, how can we know they are telling the truth?
Expanding on this, I started thinking about Artificial Intelligence—could this be the creation that gives us the way to see into a person's mind; to find out what crime they have committed? But then I thought, what if the actual creator was a criminal? How would anyone even know? That was the route of my research which led to i4Ni being written.
I loved this book with its mix of AI, murder, and mystery. It's about 'accidents' that seem to happen to anyone going against the creator of a predictive AI that they say will be able to anticipate human behaviour.
I liked the fact lots of things happen behind the scenes. An ex-staff member and former coder aims to get to the bottom of it. It looks at the 'what ifs' and throws up the corruption that can happen if there is no strict monitoring in the development of AI.
Again, I feel it brings up the concerns we humans have of the people who will design, build, and operate Artificial Intelligence, and for me, I would want to know who is checking what these companies are actually creating? And who checks the checker...?
I’m a philosopher, writer, and illustrator from Wales, UK. I grew up on ’70s sci-fi—Star Wars (the original trilogy!), Battlestar Galactica (the original series!), The Black Hole (Remember that?! No? Oh well…). Space travel, flying cars, sassy computers you could banter with, cute robots who would be your best friend—it was a time when the future seemed just around the corner. But now, as these things finally start to arrive, I feel I’ve been mis-sold. Data theft? Mass surveillance? Killer drones? Election manipulation? Social media bot farms? This isn’t the future I signed up for! Or maybe I should have read the terms and conditions…
Technology is always moving on. And so it should be forgiven the author that many of the concrete examples in this book are now somewhat dated. They provide some interesting insight into the history of computing and media technology, but the real value of Roszak’s argument lies in his analysis of how—thanks to computer technology—society has become obsessed with “information”. It’s almost a cult. But information is not knowledge, data does not in itself provide understanding. In fact, in a peculiarly paradoxical way, the more information we have, the less we actually know. Thirty years later, as we swim daily in the disinformationof the murky waters of social media and disappear down Youtube rabbit holes, Roszak’s point seems more pertinent than ever.
As we devote ever-increasing resources to providing, or prohibiting, access to information via computer, Theodore Roszak reminds us that voluminous information does not necessarily lead to sound thinking. "Data glut" obscures basic questions of justice and purpose and may even hinder rather than enhance our productivity. In this revised and updated edition of "The Cult of Information", Roszak reviews the disruptive role the computer has come to play in international finance and the way in which "edutainment" software and computer games degrade the literacy of children. At the same time, he finds hopeful new ways in which the library and…
With plot elements inspired by presidential elections in both the US and Mexico, Barracuda Bay follows Acapulco’s first female police detective, Emilia Cruz, as she investigates the murder of the mayor’s sister—only to become a fugitive hunted by killers disguised as cops in Washington, DC. The stakes couldn’t be higher…
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 continues to be further integrated into our professional lives, and this is a great introductory book for those in business or the public sector to consider the ethical implications of using various AI systems.
It nicely introduces key concepts and provides step-by-step instructions for thinking about and having ethical AI standards, processes, and metrics.
Broadly, it is a call for the importance of ethics in decision-making and business processes and does well to offer guidance in this age of AI.
The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. Are you prepared for that risk?
Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did.
In this environment, AI ethics isn't merely an academic…
As a child of the microcomputer revolution in the late 1970s, I’ve always been fascinated by the concept of a general-purpose machine that I could control. The deep learning revolution of 2010 or so, followed most recently by the advent of large language models like ChatGPT, has completely altered the landscape. It is now difficult to interpret the behavior of these systems in a way that doesn’t argue for intelligence of some kind. I’m passionate about AI because, decades after the initial heady claims made in the 1950s, AI has reached a point where the lofty promise is genuinely beginning to be kept. And we’re just getting started.
Artificial intelligence is, of necessity, an academic pursuit, at least initially. McCorduck’s book is her account of the history and development of AI. She was not a historian coming to events after the fact but a living witness. Her circle of friends included all the key figures, the people those of us who fell into AI later didn’t have the opportunity to know.
This book, personal and human, not technical and heavy, reveals the humanness of the process. Yes, artificial intelligence was the goal, but human intelligence (and frailty) were central to its emergence.
In the autumn of 1960, twenty-year-old humanities student Pamela McCorduck encountered both the fringe science of early artificial intelligence, and C. P. Snow's Two Cultures lecture on the chasm between the sciences and the humanities. Each encounter shaped her life. Decades later her lifelong intuition was realized: AI and the humanities are profoundly connected. During that time, she wrote the first modern history of artificial intelligence, Machines Who Think, and spent much time pulling on the sleeves of public intellectuals, trying in futility to suggest that artificial intelligence could be important. Memoir, social history, group biography of the founding fathers…
I have been writing for many years, and my main preference is political thrillers with criminal overtones. I first became interested in politics when I worked at several political conferences in the 60’s and 70’s. I have been involved in several criminal cases, including my own, and within my family, I have a nephew in the police force. For many years I have had the opportunity to mix with the upper tiers of society as well as the criminal classes and this has given me great insight into creating my characters and plots.
I love an all-action plot that does not rely on the action to sell the story. This is about artificial intelligence creation and a race to unlock its secret about a murder. There is lots of tech detail and the plot is well thought out.
I loved the fast pace of the story and the main character who is not so much a hero but an ex bad guy who O’Reilly creates beautifully. I do rate this very interesting story about Ai.
'Starts off like a fired bullet and never lets up. A sheer delight' David Baldacci.
At a global tech gala hosted at the British Museum, scientist Tobias Hawke is due to unveil an astonishing breakthrough. His AI system appears to have reached consciousness, making Hawke the leading light in his field.
But when terrorists storm the building, they don't just leave chaos in their wake. They seize Hawke's masterwork, sparking a chain reaction of explosive events which could end the world as we know it.
Michael North, ex-assassin and spy-for-hire, must find the killers and recover the AI. But he…
Little does attorney Hiram Garbuncle know the danger he’s getting into when he reluctantly defends an immigrant brutally beaten by two policemen during a traffic stop and charged with resisting arrest.
Plot twists and turns take the reader on a suspense-filled roller coaster ride as the attorney’s negligence causes a…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
Bishop’s book laid the mathematical groundwork for me, making it a solid foundation for anyone venturing into Generative AI.
I love how it covers Bayesian inference, graphical models, and machine learning fundamentals in a clear, approachable way. I also think, in my personal opinion, that reading my book after this one would be a natural progression to understand where AI is heading, building on the core concepts that Bishop established.
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models…
