Here are 100 books that Is AI Good for the Planet? fans have personally recommended if you like
Is AI Good for the Planet?.
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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…
Magical realism meets the magic of Christmas in this mix of Jewish, New Testament, and Santa stories–all reenacted in an urban psychiatric hospital!
On locked ward 5C4, Josh, a patient with many similarities to Jesus, is hospitalized concurrently with Nick, a patient with many similarities to Santa. The two argue…
In today’s world, where negativity and dire situations can easily bombard us, I need to consistently ground myself in hope and light. Real stories about transformation and unconditional love are not only uplifting and hopeful, they are also around every corner. Every one of us is capable of transformation and the giving and receiving of unconditional love. It’s through transformation and unconditional love that we may better understand what it means to be human and, thus, build our capacity for compassion for one another. Through compassion, we can create a better world.
What does it mean to be human, and what happens to us when we don’t receive unconditional love?
The two main characters in this Gothic novel, a human and a "monster," are presented in such a way that I questioned which main character was more human. There’s a warning of what can happen when we deny the basic human need for unconditional love.
Shelly’s use of a frame story pulled me in from the first page.
One of the BBC's '100 Novels That Shaped Our World'
'That rare story to pass from literature into myth' The New York Times
Mary Shelley's chilling Gothic tale was conceived when she was only eighteen, living with her lover Percy Shelley on Lake Geneva. The story of Victor Frankenstein who, obsessed with creating life itself, plunders graveyards for the material to fashion a new being, but whose botched creature sets out to destroy his maker, would become the world's most famous work of horror fiction, and remains a devastating exploration of the limits of human creativity. Based on the third…
I’m a theologian who started out as a computer scientist. Teaching classes on AI got me wondering, not just whether we’d ever be able to create a human-like AI, but why we wanted to do so in the first place. It seemed to me that computers were the most helpful when they did the things we are not very good at—crunching big calculations, or exploring Mars—stuff we can’t do. That got me thinking that there might be something spiritual going on, that in a world where we increasingly no longer believed in God or angels, we were lonely. That we didn’t want a tool but a companion.
There’s a lot of fear-mongering going around regarding the possibility of a superintelligent AI that could take over or even wipe out humanity.
Larson gives a clear rationale for why this is not going to happen and further, why it is a big mistake to expect computer reasoning to be like human reasoning. He explains the ways computers think and how they differ from the ways we do.
In short, we don’t have a clue how to give computers either consciousness or common sense. Without these, worrying about superhuman intelligence is worrying about the wrong thing. There is no way a computer using current AI methods could evolve into a general intelligence.
"If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence."-Peter Thiel
A cutting-edge AI researcher and tech entrepreneur debunks the fantasy that superintelligence is just a few clicks away-and argues that this myth is not just wrong, it's actively blocking innovation and distorting our ability to make the crucial next leap.
Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines?…
Katie's Gamble is an unexpected, unique story about a young woman who's trying to support her younger siblings by keeping her family's confectionery shop open.
In order to do that, she has to take on her older brother, who's a notorious gambler in Louisiana. Additionally, she has to outsmart Rowdy…
I’m a theologian who started out as a computer scientist. Teaching classes on AI got me wondering, not just whether we’d ever be able to create a human-like AI, but why we wanted to do so in the first place. It seemed to me that computers were the most helpful when they did the things we are not very good at—crunching big calculations, or exploring Mars—stuff we can’t do. That got me thinking that there might be something spiritual going on, that in a world where we increasingly no longer believed in God or angels, we were lonely. That we didn’t want a tool but a companion.
Another big thing to worry about. AI doesn’t have to be superintelligent to do real damage. Scharre identifies four areas where AI will radically change the future of international politics and conflict.
As a former Army Ranger, Scharre looks first at the impact of autonomous weapons and decision-making systems, on the battlefield and behind the scenes. These will speed up the pace of warfare, perhaps beyond our human capacity to keep up and stay “in the loop.”
But Ai will also move the battlefield to the political arena, economy, and social media. In each of these, AI has the potential to really destabilize our current systems, furthering autocracy, increasing unemployment, and filling our inboxes and minds with misinformation and propaganda. I fear we might see some of Scharre’s concerns borne out in the 2024 election.
A new industrial revolution has begun. Like mechanization or electricity before it, artificial intelligence will touch every aspect of our lives-and cause profound disruptions in the balance of global power, especially among the AI superpowers: China, the United States, and Europe. Autonomous weapons expert Paul Scharre takes readers inside the fierce competition to develop and implement this game-changing technology and dominate the future.
Four Battlegrounds argues that four key elements define this struggle: data, computing power, talent, and institutions. Data is a vital resource like coal or oil, but it must be collected and refined. Advanced computer chips are…
I became fascinated by the highest achievements of human intelligence while a graduate student in philosophy working on the discovery and justification of scientific theories. Shortly after I got my PhD, I started working with cognitive psychologists who gave me an appreciation for empirical studies of intelligent thinking. Psychology led me to computational modeling of intelligence and I learned to build my own models. Much later a graduate student got me interested in questions about intelligence in non-human animals. After teaching a course on intelligence in machines, humans, and other animals, I decided to write a book that provides a systematic comparison: Bots and Beasts.
This book provides a good introduction to the current state of machine intelligence through interviews with many leading practitioners including Geoffrey Hinton, Yann LeCun, Stuart Russell, and Demis Hassabis (DeepMind). You will get a sense of both of AI’s recent accomplishments and how far it falls short of full human intelligence.
How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances?
Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community.
Martin has wide-ranging conversations with twenty-three…
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…
Papyrologist Lisa Emmer's world flips when the Sûreté detains her at her Metro station with news of the savage murder of the esteemed Paris historian Dr. Raimond Foix, her friend and mentor in the study of ancient documents.
Horrified, Lisa finds clues at the crime scene left behind for her…
I have longed to move to the Shire ever since I first saw the film version of The Fellowship of the Ring. I wasn’t aware at first of Tolkien’s deep Catholic faith, but once it was pointed out to me, I was amazed at how he managed to weave Christian virtue into everything he wrote. As a long-time writer myself, I realized that I wanted to tell stories about the big stuff—love and hope, good and evil, doubt and courage—in a way that was genuine and unflinching. I think that all of the authors on this list have pulled off just that.
Part of what I love the most about The Lord of the Rings is the way that J.R.R. Tolkien made Middle Earth feel like it could be real. I have to remind myself it’s not history, but fiction. Reading Recorder gives me the same feeling. Sure, technically, it’s science fiction. It’s set in space. But there is a depth and honesty to the world that Cathy McCrumb has created that is rare and worth exploring. It is both a prescient warning about the future of humanity and a powerful story about found family and finding hope when up against impossible odds. Also, the romantic subplot of this book will absolutely shatter you.
The Consortium is All. But Recorder Can No Longer Obey.
Recorder has no family, no friends, and no name. Donated to the Consortium before birth, her sole purpose is to maintain and verify the records. A neural implant and drone ensure compliance, punishing for displays of bias.
Suddenly cut off from controlling technology, Recorder tastes what it means to be human. But if the Consortium discovers her feelings, everyone she knows will be in danger.
With no name, no resources, and only an infinitesimal possibility of escape, Recorder's time is running out.
"McCrumb achieves a fascinating coming-of-age story in a…
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…
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.
Woolridge presents the history of artificial intelligence from the point of view of an insider. This book is one of the few accounts of AI history presenting a measured perspective, one that has weathered more than one boom and bust cycle.
The book is nicely complemented by his recent series of lectures, which can be easily found on YouTube. I read Woolridge as saying, “Yes, something new has happened with the advent of large language models, but much work remains.”
From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: Artificial Intelligence
The somewhat ill-defined long-term aim of AI is to build machines that are conscious, self-aware, and sentient; machines capable of the kind of intelligent autonomous action that currently only people are capable of. As an AI researcher with 25 years of experience, professor Mike Wooldridge has learned to be obsessively cautious about such claims, while still promoting an intense optimism about the future of the field. There have been genuine…
A poisonous maiden, a Daoist sex cult, and a violent insurgency.
The polyandrous Yan family in China's rural Shaanxi Province takes in two carpenter brothers. When one brother is convicted of murder after killing their neighbor in a dispute, a constable threatens to expose the family's rumored polyandry and extorts…
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.
While it’s not the newest tech, I love that it covers the essential groundwork that sparked the modern AI revolution. I personally think its perfect for engineers and data scientists. It's also a great precursor to my book, giving you the strong foundation you need before diving into the next wave of AI advancements.
Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.
Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll…
