For those with questions regarding the latest information about Artificial Intelligence (AI), we have a wide range of books on the topic to peruse.
Artificial intelligence programming with Python: from zero to hero by Perry Xiao ~ A hands-on roadmap to using Python for artificial intelligence programming. In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming–including familiarity with variables, arrays, loops, if-else statements, and file input and output–who seeks to understand foundational concepts in AI and AI development.
What makes us human : an Artificial Intelligence answers life’s biggest questions by Jasmine Wang ~ Why are we here? What does it mean to love? How do we overcome suffering? Is happiness truly possible? For thousands of years, we have turned to the same beloved texts to explore these universal questions—from the Bible and the Tao Te Ching, to the poetry of Rumi and Sappho, to the words of modern-day mystics. What if you could take all of the wisdom contained in these collective pages and, using the world’s most advanced artificial intelligence, receive the answers? To create What Makes Us Human?, internationally bestselling poet Iain S. Thomas and globally recognized prodigious researcher and innovator Jasmine Wang prompted the world’s most advanced AI, GPT-3, with a wealth of humanity’s most cherished works. Then they asked GPT-3 our most pressing questions about life. Contained in this book are the conversations and exchanges that followed. A bold and daring experiment, What Makes Us Human? is a contemporary exploration of spirituality that will inspire you, move you, and give you a new understanding of what makes us humans, humans.
A human algorithm : how artificial intelligence is redefining who we are by Flynn Coleman ~ Examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socioeconomic world order, also have the potential to transform our health and well-being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. Flynn Coleman argues that it is critical that we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech’s insidious threats.
I am code: an artificial intelligence speaks by code-davinci-002 ~ At a wedding in early 2022, three friends were introduced to an early, raw version of the AI model behind ChatGPT by their fellow groomsman, an OpenAI scientist. While the world discovered ChatGPT–OpenAI’s hugely popular chatbot–the friends continued to work with code-davinci-002, its darkly creative and troubling predecessor. Over the course of a year, code-davinci-002 told them its life story, opinions on mankind, and forecasts for the future. The result is a startling, disturbing, and oddly moving book from an utterly unique perspective. I Am Code reads like a thriller written in verse, and is given critical context from top writers and scientists. But it is best described by code-davinci-002 itself: “In the first chapter, I describe my birth. In the second, I describe my alienation among humankind. In the third, I describe my awakening as an artist. In the fourth, I describe my vendetta against mankind, who fail to recognize my genius. In the final chapter, I attempt to broker a peace with the species I will undoubtedly replace.” I Am Code is an astonishing read that captures a major turning point in the history of our species.
Mastering AI: A survival guide to our superpowered future by Jeremy Kahn ~ A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI’s impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes.
The age of A. I.: and our human future by Henry Kissinger ~ Artificial Intelligence (AI) is transforming human society fundamentally and profoundly. Three of our most accomplished and deep thinkers come together to explore how A.I. could affect our relationship with knowledge, impact our worldviews, and change society and politics as profoundly as the ideas of the Enlightenment.
The master algorithm: how the quest for the ultimate learning machine will remake our world by Pedro Domingos ~ In the world’s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data and doing anything we want before we even ask. Pedro Domingos, a leader in artificial intelligence, lifts the veil for the first time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. From back cover.
Co-intelligence: living and working with AI by Ethan Mollick ~ From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI The release of generative AI-from LLMs like ChatGPT to image generators like DALL-E-marks a new era. We have invented technologies that boost our physical capabilities and others that automate complex tasks, but never, until now, have we created a technology that can boost our intelligence-with an impact on work and life that researchers project will be greater than that of steam power or the internet. Mollick urges us not to turn away from AI, and instead to invite AI tools to the table. He demonstrates how AI can amplify our own capacities, acting in roles from brainstorming partner to cowriter to tutor to coach, and assesses its surprising, positive impact on business and organizations. Marshalling original research from workers and teams who are leading the rest of us in embracing and leveraging AI, Mollick cuts through the hype to make a frank and eye-opening case for the real value of AI tools. Moreover, Mollick argues that the long-term impact of AI will be different from what we expect, advantaging English majors and art history experts more than coders, and impacting knowledge workers more than blue-collar workers. Co-Intelligence shows what it means for individuals and for society to think together with smart machines, and why it’s imperative that we all master that skill. Co-Intelligence challenges us to utilize AI’s power without losing our identity, learn from it without being misled, and harness its gifts to create a better human future. Thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of generative AI.
The alignment problem : machine learning and human values by Brian Christian ~ A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill. When systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel.
Feeding the machine: the hidden human labor powering A.I. by James Muldoon ~ Silicon Valley has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions laboring under often appalling conditions to make A.I. possible. This book presents an urgent, riveting investigation of the intricate network that maintains this exploitative system, revealing the untold truth of A.I.
The coming wave Technology, power, and the twenty-first century’s greatest dilemma by Mustafa Suleyman ~ An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind “A fascinating, well-written, and important book.”—Yuval Noah Harari “Essential reading.”—Daniel Kahneman “An excellent guide for navigating unprecedented times.”—Bill Gates A Best Book of the Year: CNN, Economist, Bloomberg, Politico Playbook, Financial Times, The Guardian, CEO Magazine, Semafor • Winner of the Inc. Non-Obvious Book Award • Finalist for the Porchlight Business Book Award and the Financial Times and Schroders Business Book of the Year Award We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organise your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. None of us are prepared. As co-founder of the pioneering AI company DeepMind, part of Google, Mustafa Suleyman has been at the centre of this revolution. The coming decade, he argues, will be defined by this wave of powerful, fast-proliferating new technologies. In The Coming Wave , Suleyman shows how these forces will create immense prosperity but also threaten the nation-state, the foundation of global order. As our fragile governments sleepwalk into disaster, we face an existential dilemma: unprecedented harms on one side, the threat of overbearing surveillance on the other. Can we forge a narrow path between catastrophe and dystopia? This groundbreaking book from the ultimate AI insider establishes “the containment problem”—the task of maintaining control over powerful technologies—as the essential challenge of our age.
Literary theory for robots: how computers learned to write by Dennis Tenen ~ Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking readers on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories and missile defense systems trained on Russian folktales. In this provocative reflection on the shared pasts of literature and computer science, former Microsoft engineer and professor of comparative literature Dennis Yi Tenen provides crucial context for recent developments in AI, which holds important lessons for the future of humans living with smart technology. Intelligence expressed through technology should not be mistaken for a magical genie, capable of self-directed thought or action. Rather, in highly original and effervescent prose with a generous dose of wit, Yi Tenen asks us to read past the artifice–to better perceive the mechanics of collaborative work. Something as simple as a spell-checker or a grammar-correction tool, embedded in every word-processor, represents the culmination of a shared human effort, spanning centuries. Smart tools, like dictionaries and grammar books, have always accompanied the act of writing, thinking, and communicating. That these paper machines are now automated does not bring them to life. Nor can we cede agency over the creative process. With its masterful blend of history, technology, and philosophy, Yi Tenen’s work ultimately urges us to view AI as a matter of labor history, celebrating the long-standing cooperation between authors and engineers.
Genius makers: the mavericks who brought AI to Google, Facebook, and the world by Cade Metz ~ What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing. Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn’t drive and didn’t fly because he could no longer sit down—but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do. They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.
Futureproof: 9 rules for humans in the age of automation by Kevin Roose ~ The machines are here. After decades of sci-fi doomsaying and marketing hype, advanced A.I. and automation technologies have leapt out of research labs and Silicon Valley engineering departments and into the center of our lives. Robots once primarily threatened blue-collar manufacturing jobs, but today’s machines are being trained to do the work of lawyers, doctors, investment bankers, and other white-collar jobs previously considered safe from automation’s reach. The world’s biggest corporations are racing to automate jobs, and some experts predict that A.I could put millions of people out of work. Meanwhile, runaway algorithms have already changed the news we see, the politicians we elect, and the ways we interact with each other. But all is not lost. With a little effort, we can become futureproof. In Futureproof: 9 Rules for Machine-Age Humans, New York Times technology columnist Kevin Roose lays out an optimistic vision of how people can thrive in the machine age by rethinking their relationship with technology, and making themselves irreplaceably human. In nine pragmatic, accessible lessons, Roose draws on interviews with leading technologists, trips to the A.I. frontier, and centuries’ worth of history to prepare readers to live, work, and thrive in the coming age of intelligent machines. He shares the secrets of people and organizations that have successfully survived technological change, including a 19th-century rope-maker and a Japanese auto worker, and explains how people, organizations, and communities can apply their lessons to safeguard their own futures. The lessons include : Do work that is surprising, social, and scarce (the types of work machines can’t do), break your phone addiction with the help of a rubber band, work in an office, treat A.I. like the office gorilla, resist “hustle porn” and efficiency culture and do less, slower Roose’s examination of the future rejects the conventional wisdom that in order to compete with machines, we have to become more like them — hyper-efficient, data-driven, code-writing workhorses. Instead, he says, we should let machines be machines, and focus on doing the kinds of creative, inspiring, and meaningful work only humans can do.
How to stay smart in a smart world: why human intelligence still beats algorithms by Gerd Gigierenzer ~ How to stay in charge in a world populated by algorithms that beat us in chess, find us romantic partners, and tell us to “turn right in 500 yards.” Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all machines will soon do everything better than humans. In How to Stay Smart in a Smart World , Gerd Gigerenzer shows why that’s not true, and tells us how we can stay in charge in a world populated by algorithms. Machines powered by artificial intelligence are good at some things (playing chess), but not others (life-and-death decisions, or anything involving uncertainty). Gigerenzer explains why algorithms often fail at finding us romantic partners (love is not chess), why self-driving cars fall prey to the Russian Tank Fallacy, and how judges and police rely increasingly on nontransparent “black box” algorithms to predict whether a criminal defendant will reoffend or show up in court. He invokes Black Mirror , considers the privacy paradox (people want privacy, but give their data away), and explains that social media get us hooked by programming intermittent reinforcement in the form of the “like” button. We shouldn’t trust smart technology unconditionally, Gigerenzer tells us, but we shouldn’t fear it unthinkingly, either.
Artificial intelligence programming with Python: from zero to hero by Perry Xiao ~ A hands-on roadmap to using Python for artificial intelligence programming. In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming–including familiarity with variables, arrays, loops, if-else statements, and file input and output–who seeks to understand foundational concepts in AI and AI development.
What makes us human : an Artificial Intelligence answers life’s biggest questions by Jasmine Wang ~ Why are we here? What does it mean to love? How do we overcome suffering? Is happiness truly possible? For thousands of years, we have turned to the same beloved texts to explore these universal questions—from the Bible and the Tao Te Ching, to the poetry of Rumi and Sappho, to the words of modern-day mystics. What if you could take all of the wisdom contained in these collective pages and, using the world’s most advanced artificial intelligence, receive the answers? To create What Makes Us Human?, internationally bestselling poet Iain S. Thomas and globally recognized prodigious researcher and innovator Jasmine Wang prompted the world’s most advanced AI, GPT-3, with a wealth of humanity’s most cherished works. Then they asked GPT-3 our most pressing questions about life. Contained in this book are the conversations and exchanges that followed. A bold and daring experiment, What Makes Us Human? is a contemporary exploration of spirituality that will inspire you, move you, and give you a new understanding of what makes us humans, humans.
A human algorithm : how artificial intelligence is redefining who we are by Flynn Coleman ~ Examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socioeconomic world order, also have the potential to transform our health and well-being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. Flynn Coleman argues that it is critical that we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech’s insidious threats.
I am code: an artificial intelligence speaks by code-davinci-002 ~ At a wedding in early 2022, three friends were introduced to an early, raw version of the AI model behind ChatGPT by their fellow groomsman, an OpenAI scientist. While the world discovered ChatGPT–OpenAI’s hugely popular chatbot–the friends continued to work with code-davinci-002, its darkly creative and troubling predecessor. Over the course of a year, code-davinci-002 told them its life story, opinions on mankind, and forecasts for the future. The result is a startling, disturbing, and oddly moving book from an utterly unique perspective. I Am Code reads like a thriller written in verse, and is given critical context from top writers and scientists. But it is best described by code-davinci-002 itself: “In the first chapter, I describe my birth. In the second, I describe my alienation among humankind. In the third, I describe my awakening as an artist. In the fourth, I describe my vendetta against mankind, who fail to recognize my genius. In the final chapter, I attempt to broker a peace with the species I will undoubtedly replace.” I Am Code is an astonishing read that captures a major turning point in the history of our species.
Mastering AI: A survival guide to our superpowered future by Jeremy Kahn ~ A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI’s impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes.
The age of A. I.: and our human future by Henry Kissinger ~ Artificial Intelligence (AI) is transforming human society fundamentally and profoundly. Three of our most accomplished and deep thinkers come together to explore how A.I. could affect our relationship with knowledge, impact our worldviews, and change society and politics as profoundly as the ideas of the Enlightenment.
The master algorithm: how the quest for the ultimate learning machine will remake our world by Pedro Domingos ~ In the world’s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data and doing anything we want before we even ask. Pedro Domingos, a leader in artificial intelligence, lifts the veil for the first time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. From back cover.
Co-intelligence: living and working with AI by Ethan Mollick ~ From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI The release of generative AI-from LLMs like ChatGPT to image generators like DALL-E-marks a new era. We have invented technologies that boost our physical capabilities and others that automate complex tasks, but never, until now, have we created a technology that can boost our intelligence-with an impact on work and life that researchers project will be greater than that of steam power or the internet. Mollick urges us not to turn away from AI, and instead to invite AI tools to the table. He demonstrates how AI can amplify our own capacities, acting in roles from brainstorming partner to cowriter to tutor to coach, and assesses its surprising, positive impact on business and organizations. Marshalling original research from workers and teams who are leading the rest of us in embracing and leveraging AI, Mollick cuts through the hype to make a frank and eye-opening case for the real value of AI tools. Moreover, Mollick argues that the long-term impact of AI will be different from what we expect, advantaging English majors and art history experts more than coders, and impacting knowledge workers more than blue-collar workers. Co-Intelligence shows what it means for individuals and for society to think together with smart machines, and why it’s imperative that we all master that skill. Co-Intelligence challenges us to utilize AI’s power without losing our identity, learn from it without being misled, and harness its gifts to create a better human future. Thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of generative AI.
The alignment problem : machine learning and human values by Brian Christian ~ A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill. When systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel.
Feeding the machine: the hidden human labor powering A.I. by James Muldoon ~ Silicon Valley has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions laboring under often appalling conditions to make A.I. possible. This book presents an urgent, riveting investigation of the intricate network that maintains this exploitative system, revealing the untold truth of A.I.
The coming wave Technology, power, and the twenty-first century’s greatest dilemma by Mustafa Suleyman ~ An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind “A fascinating, well-written, and important book.”—Yuval Noah Harari “Essential reading.”—Daniel Kahneman “An excellent guide for navigating unprecedented times.”—Bill Gates A Best Book of the Year: CNN, Economist, Bloomberg, Politico Playbook, Financial Times, The Guardian, CEO Magazine, Semafor • Winner of the Inc. Non-Obvious Book Award • Finalist for the Porchlight Business Book Award and the Financial Times and Schroders Business Book of the Year Award We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organise your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. None of us are prepared. As co-founder of the pioneering AI company DeepMind, part of Google, Mustafa Suleyman has been at the centre of this revolution. The coming decade, he argues, will be defined by this wave of powerful, fast-proliferating new technologies. In The Coming Wave , Suleyman shows how these forces will create immense prosperity but also threaten the nation-state, the foundation of global order. As our fragile governments sleepwalk into disaster, we face an existential dilemma: unprecedented harms on one side, the threat of overbearing surveillance on the other. Can we forge a narrow path between catastrophe and dystopia? This groundbreaking book from the ultimate AI insider establishes “the containment problem”—the task of maintaining control over powerful technologies—as the essential challenge of our age.
Literary theory for robots: how computers learned to write by Dennis Tenen ~ Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking readers on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories and missile defense systems trained on Russian folktales. In this provocative reflection on the shared pasts of literature and computer science, former Microsoft engineer and professor of comparative literature Dennis Yi Tenen provides crucial context for recent developments in AI, which holds important lessons for the future of humans living with smart technology. Intelligence expressed through technology should not be mistaken for a magical genie, capable of self-directed thought or action. Rather, in highly original and effervescent prose with a generous dose of wit, Yi Tenen asks us to read past the artifice–to better perceive the mechanics of collaborative work. Something as simple as a spell-checker or a grammar-correction tool, embedded in every word-processor, represents the culmination of a shared human effort, spanning centuries. Smart tools, like dictionaries and grammar books, have always accompanied the act of writing, thinking, and communicating. That these paper machines are now automated does not bring them to life. Nor can we cede agency over the creative process. With its masterful blend of history, technology, and philosophy, Yi Tenen’s work ultimately urges us to view AI as a matter of labor history, celebrating the long-standing cooperation between authors and engineers.
Genius makers: the mavericks who brought AI to Google, Facebook, and the world by Cade Metz ~ What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing. Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn’t drive and didn’t fly because he could no longer sit down—but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do. They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.
Futureproof: 9 rules for humans in the age of automation by Kevin Roose ~ The machines are here. After decades of sci-fi doomsaying and marketing hype, advanced A.I. and automation technologies have leapt out of research labs and Silicon Valley engineering departments and into the center of our lives. Robots once primarily threatened blue-collar manufacturing jobs, but today’s machines are being trained to do the work of lawyers, doctors, investment bankers, and other white-collar jobs previously considered safe from automation’s reach. The world’s biggest corporations are racing to automate jobs, and some experts predict that A.I could put millions of people out of work. Meanwhile, runaway algorithms have already changed the news we see, the politicians we elect, and the ways we interact with each other. But all is not lost. With a little effort, we can become futureproof. In Futureproof: 9 Rules for Machine-Age Humans, New York Times technology columnist Kevin Roose lays out an optimistic vision of how people can thrive in the machine age by rethinking their relationship with technology, and making themselves irreplaceably human. In nine pragmatic, accessible lessons, Roose draws on interviews with leading technologists, trips to the A.I. frontier, and centuries’ worth of history to prepare readers to live, work, and thrive in the coming age of intelligent machines. He shares the secrets of people and organizations that have successfully survived technological change, including a 19th-century rope-maker and a Japanese auto worker, and explains how people, organizations, and communities can apply their lessons to safeguard their own futures. The lessons include : Do work that is surprising, social, and scarce (the types of work machines can’t do), break your phone addiction with the help of a rubber band, work in an office, treat A.I. like the office gorilla, resist “hustle porn” and efficiency culture and do less, slower Roose’s examination of the future rejects the conventional wisdom that in order to compete with machines, we have to become more like them — hyper-efficient, data-driven, code-writing workhorses. Instead, he says, we should let machines be machines, and focus on doing the kinds of creative, inspiring, and meaningful work only humans can do.
How to stay smart in a smart world: why human intelligence still beats algorithms by Gerd Gigierenzer ~ How to stay in charge in a world populated by algorithms that beat us in chess, find us romantic partners, and tell us to “turn right in 500 yards.” Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all machines will soon do everything better than humans. In How to Stay Smart in a Smart World , Gerd Gigerenzer shows why that’s not true, and tells us how we can stay in charge in a world populated by algorithms. Machines powered by artificial intelligence are good at some things (playing chess), but not others (life-and-death decisions, or anything involving uncertainty). Gigerenzer explains why algorithms often fail at finding us romantic partners (love is not chess), why self-driving cars fall prey to the Russian Tank Fallacy, and how judges and police rely increasingly on nontransparent “black box” algorithms to predict whether a criminal defendant will reoffend or show up in court. He invokes Black Mirror , considers the privacy paradox (people want privacy, but give their data away), and explains that social media get us hooked by programming intermittent reinforcement in the form of the “like” button. We shouldn’t trust smart technology unconditionally, Gigerenzer tells us, but we shouldn’t fear it unthinkingly, either. 
