Here are 100 books that Open Sky fans have personally recommended if you like
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Arshin Adib-Moghaddam is Professor in Global Thought and Comparative Philosophies at SOAS University of London and Fellow of Hughes Hall, University of Cambridge. Among over a dozen honorary appointments all over the world, Adib-Moghaddam is the inaugural Director of the SOAS Centre for AI Futures.
First published in 1947, this iconic book of the “Frankfurt School” could not be a study of AI and 21st-century technologies per see.
Instead it is a phantasmic explainer of how the mistakes of the past impinge on our humanity and the prospects for a better future. "What we had set out to do," Adorno and Horkheimer famously wrote in the Preface, "was nothing less than to explain why humanity, instead of entering a truly human state, is sinking into a new kind of barbarism."
With spectacular erudition, the authors clearly show how the terror regime of the Nazis was rooted in the nefarious legacies of enlightenment Europe and its obsession with racial purity. As such, Adorno and Horkheimer presaged why it is that our polluted history feeds into racist AI technologies: Bad data, Adorno and Horkheimer would agree, produces bad outcomes.
Dialectic of Enlightenment is undoubtedly the most influential publication of the Frankfurt School of Critical Theory. Written during the Second World War and circulated privately, it appeared in a printed edition in Amsterdam in 1947. "What we had set out to do," the authors write in the Preface, "was nothing less than to explain why humanity, instead of entering a truly human state, is sinking into a new kind of barbarism."
Yet the work goes far beyond a mere critique of contemporary events. Historically remote developments, indeed, the birth of Western history and of subjectivity itself out of the struggle…
My name is Daniel Robert McClure, and I am an Associate Professor of History at Fort Hays State University in Hays, Kansas. I teach U.S., African diaspora, and world history, and I specialize in cultural and economic history. I was originally drawn to “information” and “knowledge” because they form the ties between culture and economics, and I have been teaching history through “information” for about a decade. In 2024, I was finally able to teach a graduate course, “The Origins of the Knowledge Society,” out of which came the “5 books.”
This book tells the tech-business story of algorithms and data exhaust and the companies who have implemented the dystopian future prophesized by Boorstin, Toffler, Postman, and others. While the book is large, Zuboff’s writing draws you into a world you know and, paradoxically, don’t know.
The work is the final stop of our story about information and knowledge, its chaotic meandering through amusing images and the shock of the future.
'Everyone needs to read this book as an act of digital self-defense.' -- Naomi Klein, Author of No Logo, the Shock Doctrine, This Changes Everything and No is Not Enough
The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control us.
The heady optimism of the Internet's early days is gone. Technologies that were meant to liberate us have deepened inequality and stoked divisions. Tech companies gather our information online and sell…
My own experience on Facebook piqued my interest in digital photography and social media. My emotional response to what I saw there ran the gamut from super anxious or angry to happy and even optimistic. As a scholar of religion with some expertise in traditional media and photography, I wanted to know why and how so I could respond better. I turned to experts in these new technologies – particularly those who write good books aimed at curious people, not just their peers! – for help. I learned a lot from these books and I’m confident you will, too!
I rarely think about why I see what I see online. Yes, I know algorithms had something to do with it, but they’re just algebra on steroids, right? Well, not so fast!
This book opened my eyes to how and why bias – in this case, racial bias – shows up online and what we can do about it. I learned a lot about the intricate connections between our online lives and our real ones.
A revealing look at how negative biases against women of color are embedded in search engine results and algorithms
Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society.
In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search…
Why We Hate asks why a social animal like Homo sapiens shows such hostility to fellow species members. The invasion of the Ukraine by Russia? The antisemitism found on US campuses in the last year? The answer and solution lies in the Darwinian theory of evolution through natural selection.
Arshin Adib-Moghaddam is Professor in Global Thought and Comparative Philosophies at SOAS University of London and Fellow of Hughes Hall, University of Cambridge. Among over a dozen honorary appointments all over the world, Adib-Moghaddam is the inaugural Director of the SOAS Centre for AI Futures.
A fantastic expose about the perils of Artificial Intelligence written with clear passion for a just and equitable AI future.
This book serves as an introduction into AI’s deep learning technology and its political effects. In easily digestible prose, it charters the ways that AI impacts society and how it feeds into various social predicaments, such as the rise of right-wing movements in Europe and North America.
Artificial Intelligence (AI) is everywhere, yet it causes damage to society in ways that can't be fixed. Instead of helping to address our current crises, AI causes divisions that limit people's life chances, and even suggests fascistic solutions to social problems. This book provides an analysis of AI's deep learning technology and its political effects and traces the ways that it resonates with contemporary political and social currents, from global austerity to the rise of the far right. Dan McQuillan calls for us to resist AI as we know it and restructure it by prioritising the common good over algorithmic…
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’ve wanted to be a philosopher since I read Plato’s Phaedo when I was 17, a new immigrant in Canada. Since then, I’ve been fascinated with time, space, and quantum mechanics and involved in the great debates about their mysteries. I saw probability coming into play more and more in curious roles both in the sciences and in practical life. These five books led me on an exciting journey into the history of probability, the meaning of risk, and the use of probability to assess the possibility of harm. I was gripped, entertained, illuminated, and often amazed at what I was discovering.
I am laughing out loud, even now that I am rereading this book for the umpteenth time. Fraudsters are so clever, and so is advertising. And then there is sloppy journalism with its “wow” statistics.
I like his book enormously, not least because of its witty illustrations. It is subversive, comic, and provocative, and it makes me wise to seductive, misleading practices–and it does so with a light touch.
From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff's lively and engaging primer clarifies the basic principles of statistics and explains how they're used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
The constellation we know as Taurus goes all the way back to cave paintings of aurochs at Lascaux. This book traces the story of the bull in the sky, a journey through the history of what has become known as the sacred bull.
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.
As an author of science fiction, I loved this book because each chapter included a brief science fiction short story illustrating the chapter’s subject. This is another very-readable book for non-technical people interested in what the future of AI will be like.
The book estimates when various ramifications of AI will occur, but the field is advancing at an accelerating rate, so the dates need to be taken with a grain of salt.
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’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?
I’ve not met Harry, but he seems to have a logical and sensible head on his shoulders. His writing is considered and grounded, which is exactly what you need when discussing the hype that forever seems to surround AI. This book is another look at this topic and finds yet more ways to explain to readers the difference between human intelligence and our algorithmic attempts at intelligence – which are frequently pretty stupid.
Recent startling successes in machine intelligence using a technique called 'deep learning' seem to blur the line between human and machine as never before. Are computers on the cusp of becoming so intelligent that they will render humans obsolete? Harry Collins argues we are getting ahead of ourselves, caught up in images of a fantastical future dreamt up in fictional portrayals. The greater present danger is that we lose sight of the very real limitations of artificial intelligence and readily enslave ourselves to stupid computers: the 'Surrender'.
By dissecting the intricacies of language use and meaning, Collins shows how far…
I don’t know if I have an expertise in queer indie fantasy (quite the opposite, in fact). I just know as a queer person who loves magical worlds, I want to help elevate as many of them as possible. Over the past few years, I’ve aimed to read almost exclusively queer books with a focus on indie books (well, any indie books really). My hope is for other people to find and uplift indie books. There are so many beautiful hidden gems that just need a little more exposure to find their reader homes.
This falls more on the Sci-fi side of SFF, but it really is just such a fun ride. What I loved the most about this one is how it seemed to have such a fascinating world of technology but was completely closed off from the world.
It takes place in a mansion, a very small setting, and very character-driven until BAM—suddenly you’re thrown into this big mysterious world with all the clues of technology advancements and government, etc (har har).
Watching the two main characters navigate their way through this dangerous world, and the way it shapes each of them is spectacular. My eyes watered for sure during this one.
Cinderella meets the Matrix in this LGBTQ fantasy perfect for fans of Becky Chambers, TJ Klune, and Martha Wells.
Eke lives in a nice house, in a wealthy neighborhood, with an upstanding family: Mr. and Mrs. Kensworth and their three children. But Eke is not family; Eke is property. He’s an AI whose job is to keep the house clean and organized, and no matter how much Eke secretly wishes to be allowed outside to see the stars or to make a real friend, he’s either ignored or bullied by the family that owns him.…
I grew up and completed the formative years of my college education in Cape Town, South Africa, while active also in anti-apartheid struggles. My Ph.D. dissertation in the 1980s focused on the elaboration of key racial ideas in the modern history of philosophy. I have published extensively on race and racism in the U.S. and globally, in books, articles, and public media. My interests have especially focused on the transforming logics and expressions of racism over time, and its updating to discipline and constrain its conventional targets anew and new targets more or less conventionally. My interest has always been to understand racism in order to face it down.
Digital technology, like technology generally, is commonly assumed to be value neutral. Wendy Chun reveals that structurally embedded in digital operating systems and data collection are values that reproduce and extend existing modes of discriminating while also originating new ones. In prompting and promoting the grouping together of people who are alike—in habits, culture, looks, and preferences—the logic of the algorithm reproduces and amplifies discriminatory trends. Chun reveals how the logics of the digital reinforce the restructuring of racism by the neoliberal turn that my own book lays out.
How big data and machine learning encode discrimination and create agitated clusters of comforting rage.
In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt…
