AI: Artificial Intelligence: Books about AI

AI is on the brink of dominating our lives, threating our privacy and human future--if we don't take action now.    In The Algorithm, Emmy‑award winning Wall Street Journal and Guardian contributor Hilke Schellmann delivers a shocking and illuminating exposé on one of the most pressing civil rights issues of our time: how AI has quietly, and mostly out of sight, taken over the world of work.    Schellmann takes readers on a journalistic detective story, meeting job applicants and employees who have been subjected to these technologies, playing AI-based video games that companies use for hiring, and investigating algorithms that scan our online activity to construct personality profiles-- including if we are prone to self -harm.  She convinces whistleblowers to share results of faulty AI -tools, and tests algorithms that analyze job candidates' facial expressions and tools that predict from our voices if we are anxious or depressed.  Schellmann finds employees whose every keystrokes were tracked and AI that analyzes group discussions or even predicts when someone may leave a company. Her reporting reveals in detail how much employers already know about us and how little we know about the technologies that are used on us.   The Algorithm tells an even bigger story with Schellmann discovering faulty algorithms and systemic discrimination of women and people of color, which may have already harmed thousands of job seekers and employees.  It advocates to go beyond these tools to more thoughtfully consider how we hire, promote, and treat human beings--with or without AI.  As Schellmann emphasizes, we need to decide how we build algorithmic tools in any industry and what protections we need to put in place in an AI-driven world.   Hilke Schellmann is an Emmy-award winning investigative reporter and journalism professor at NYU.  Her work covering artificial intelligence has been published in The New York Times, The Guardian, the MIT Technology Review, and The Wall Street Journal, where she led a team investigating how AI is changing our lives.  She has also reported for NPR's Planet Money podcast on fake online reviews and her investigation for VICE on HBO was a finalist for a Peabody Award.  Her PBS Frontline documentary Outlawed in Pakistan premiered at the Sundance Film Festival and was honored with an Emmy award.

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 understanding of ourselves and our societies? Drawing on more than a decade of research, award‑winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity. Rather than taking a narrow focus on code and algorithms, Crawford offers us a material and political perspective on what it takes to make AI and how it centralizes power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

This volume provides readers with the important information they need to understand the basic concepts of artificial intelligence as well as ways that both AI and robotics can be successfully incorporated into manufacturing, transportation, education, and medicine. More than 120 easy-to-understand entries, many with illustrations and hotographs to enhance understanding, cover topics related to such important concepts in artificial intelligence and robotics.

The latest developments in robotics and artificial intelligence and a preview of the coming decades, based on research and interviews with the world's foremost experts. If there's one universal trait among humans, it's our social nature. The craving to connect is universal, compelling, and frequently irresistible. This concept is central to Robots and the People Who Love Them. Socially interactive robots will soon transform friendship, work, home life, love, healthcare, warfare, education, and nearly every nook and cranny of modern life. This book is an exploration of how we, the most gregarious creatures in the food chain, could be changed by social robots. On the other hand, it considers how we will remain the same, and asks how human nature will express itself when confronted by a new class of beings created in our own image. Drawing upon recent research in the development of social robots, including how people react to them, how in our minds the boundaries between the real and the unreal are routinely blurred when we interact with them, and how their feigned emotions evoke our real ones, science writer Eve Herold takes readers through the gamut of what it will be like to live with social robots and still hold on to our humanity. This is the perfect book for anyone interested in the latest developments in social robots and the intersection of human nature and artificial intelligence and robotics, and what it means for our future.

"Artificial intelligence is everywhere, powering news feeds, curating search results and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes its answers seem eerily smart. ... Until they don't. Billions of dollars have been poured into AI yet it keeps surprising us with its epic fails; confidently wrong chatbots, inadvertently racist photo apps, well-meaning autonomous cars that fail to recognize traffic cones. Industry insider Emmanuel Maggiori cuts through the hype, revealing the deceptively simple mechanisms behind AI's impressive results, and its spectacular blunders. Learn the dark secret of the AI industry, how unreasonable expectations, shady practices and outright lying have inflated a bubble of monumental proportions. Read Smart Until It's Dumb to discover how AI really works, why it's not always so smart, and why the AI bubble is about to burst"--

In this short book, prominent scientist and computation pioneer Stephen Wolfram provides a readable and engaging explanation that draws on his decades-long unique experience at the frontiers of science and technology. Find out how the success of ChatGPT brings together the latest neural net technology with foundational questions about language and human thought posed by Aristotle more than two thousand years ago.

FOREWORD BY BRAD SMITH, VICE CHAIR AND PRESIDENT OF MICROSOFT Discover how AI leaders and researchers are using AI to transform the world for the better In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you'll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses. The authors also provide: Easy-to-follow, non-technical explanations of what AI is and how it works Examples of the use of AI for scientists working on mitigating climate change, showing how AI can better analyze data without human bias, remedy pattern recognition deficits, and make use of satellite and other data on a scale never seen before so policy makers can make informed decisions Real applications of AI in humanitarian action, whether in speeding disaster relief with more accurate data for first responders or in helping address populations that have experienced adversity with examples of how analytics is being used to promote inclusivity A deep focus on AI in healthcare where it is improving provider productivity and patient experience, reducing per-capita healthcare costs, and increasing care access, equity, and outcomes Discussions of the future of AI in the realm of social benefit organizations and efforts Beyond the work of the authors, contributors, and researchers highlighted in the book, AI For Good begins with a foreword from Microsoft Vice Chair and President Brad Smith. There, Smith details the Microsoft rationale behind the creation of and continued investment in the AI for Good Lab. The vision is one of hope with AI saving lives in disasters, improving health care globally, and Microsoft's mission to make sure AI's benefits are available to all. An essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI's social potential, as well as policymakers, regulators, NGO professionals, and non-profit volunteers.

Generative AI is redefining the terrain of knowledge work in unprecedented ways.

A fascinating, richly illustrated journey through the history of artificial intelligence--and an honest assessment of our future alongside it. Artificial intelligence has long been a mainstay of science fiction, and increasingly it feels as if AI is entering our everyday lives, with virtual personal assistants such as Apple's Siri now ubiquitous and self-driving cars almost upon us. But what do we actually mean when we talk about artificial intelligence? In this comprehensive, beautifully illustrated account, AI expert Yorick Wilks traces the history of artificial intelligence back to its origins, examining not only how it works and why it was designed but also its controversies and achievements. Along the way, Wilks also considers our future with AI, assessing whether these technologies will benefit humanity or merely menace our way of life. Are the sentient machines of 2001: A Space Odyssey or The Matrix plausible, or will real-world AI look and feel very different? What has AI done for us so far? What do we want it to do? And what technologies could it yield in the future? Entertaining, enlightening, and keenly argued, Artificial Intelligence: Modern Magic or Dangerous Future? is the essential guide to the AI debate.

Technology described as artificial intelligence is becoming more pervasive, with AI algorithms transforming science and industry, along with our everyday lives. They can rapidly analyse and classify all manner of data. They can generate passages of text and produce realistic images. They are used to design medicines, to autonomously drive cars. They are our tour guides through the vast collection of information on the web. They observe us to suggest products to purchase, movies to watch and music to hear. They keep a watchful eye on us through cameras at supermarket self-checkouts. And their scope of application is only widening-- increasingly, we are interacting with AI without knowing it.But what is AI really? Is it truly intelligent? Is it always a benignly useful modern-world companion? Not if we consider the increasing volume of AI-enabled criminal activity, or the ethical dilemmas posed by the use of AI-powered weaponry. Further, examples already exist showing that the careless use of AI can lead to the exacerbation of social inequalities.AI systems, no matter how complex their workings or impressive their abilities, are the product of deliberate human design-- not just the design of algorithms, but also strategies for sourcing and managing the massive quantities of data on which they operate. But it' s not just the creators of AI who need to think about the impact of the technology. Given its ramifications, all of us need to start thinking about how we want to live with AI.

Hailed by Publishers Weekly as "a potent primer on the need to rein in big tech" and Kirkus Reviews as "a rock-solid plan for controlling the tech giants," readers will be energized by Tom Wheeler's vision of digital governance. An accessible and visionary book that connects the experiences of the late 19th century's industrial Gilded Age with its echoes in the 21st century digital Gilded Age. Hailed by Ken Burns as one of the foremost "explainers" of technology and its effect throughout history, Tom Wheeler now turns his gaze to the public impact of entrepreneurial innovation. In Techlash, he connects the experiences of the late 19th century's industrial Gilded Age with its echoes in the 21st century digital Gilded Age. In both cases, technology innovation and the great wealth that it created ran up against the public interest and the rights of others. As with the industrial revolution and the Gilded Age that it created, new digital technology has changed commerce and culture, creating great wealth in the process, all while being essentially unsupervised. Warning that today is not the "Fourth Industrial Revolution" some envision, Wheeler calls for a new era of public interest oversight that leaves behind industrial era regulatory ideas to embrace a new process of agile, supervised and enforced code setting that protects consumers and competition while encouraging continued innovation. Wheeler combines insights from his experience at the highest echelons of business and government to create a compelling portrait of the need to balance entrepreneurial innovation with the public good. ology has changed commerce and culture, creating great wealth in the process, all while being essentially unsupervised. Warning that today is not the "Fourth Industrial Revolution" some envision, Wheeler calls for a new era of public interest oversight that leaves behind industrial era regulatory ideas to embrace a new process of agile, supervised and enforced code setting that protects consumers and competition while encouraging continued innovation. Wheeler combines insights from his experience at the highest echelons of business and government to create a compelling portrait of the need to balance entrepreneurial innovation with the public good. ology has changed commerce and culture, creating great wealth in the process, all while being essentially unsupervised. Warning that today is not the "Fourth Industrial Revolution" some envision, Wheeler calls for a new era of public interest oversight that leaves behind industrial era regulatory ideas to embrace a new process of agile, supervised and enforced code setting that protects consumers and competition while encouraging continued innovation. Wheeler combines insights from his experience at the highest echelons of business and government to create a compelling portrait of the need to balance entrepreneurial innovation with the public good. ology has changed commerce and culture, creating great wealth in the process, all while being essentially unsupervised. Warning that today is not the "Fourth Industrial Revolution" some envision, Wheeler calls for a new era of public interest oversight that leaves behind industrial era regulatory ideas to embrace a new process of agile, supervised and enforced code setting that protects consumers and competition while encouraging continued innovation. Wheeler combines insights from his experience at the highest echelons of business and government to create a compelling portrait of the need to balance entrepreneurial innovation with the public good. and enforced code setting that protects consumers and competition while encouraging continued innovation. Wheeler combines insights from his experience at the highest echelons of business and government to create a compelling portrait of the need to balance entrepreneurial innovation with the public good.

An indispensable look at the next frontier of technological advancement and its impact on our world Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest in the future will need to understand how GenAI is set to redefine jobs, revolutionize business, and question the foundations everything we do. In this book, Marr sheds light on the most innovative real-world GenAI applications through practical examples, describing how they are moulding industries like retail, healthcare, education, finance, and beyond. You'll enjoy a captivating discussion of innovations in media and entertainment, seismic shifts in advertising, and the future trajectory of GenAI. You will: Navigate the complex landscapes of risks and challenges posed by Generative AI Delve into the revolutionary transformation of the job market in the age of GenAI Understand AI's transformative impact on education, healthcare, and retail Explore the boundless potentials in media, design, banking, coding, and even the legal arena Ideal for professionals, technophiles, and anyone eager to understand the next big thing in technology, Generative AI In Practice will equip readers with insights on how to implement GenAI, how GenAI is different to traditional AI, and a comprehensive list of generative AI tools available today.

"AI expert Jerry Kaplan explains how generative AI will revolutionize virtually every human activity. Highly recommended." - Francis Fukuyama, Political scientist and author of The End of History and the Last Man Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers. Have we finally discovered the holy grail of AI - machines that match or exceed human intelligence? Which industries and professions will thrive, and which will wither? What risks and dangers will it pose? How can we ensure that these systems respect our ethical principles? Will the benefits be broadly distributed or accrue to a lucky few? How will GAI alter our political systems and international conflicts? Are we merely a stepping stone to a new form of non-biological life, or are we just getting better at building useful gadgets? Generative Artificial Intelligence: What Everyone Needs to Know® equips readers with the knowledge to answer these pressing questions.

Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field. If you're ready to venture beyond introductory concepts and dig deeper into machine learning, deep learning, and AI, the question-and-answer format of Machine Learning Q and AIwill make things fast and easy for you, without a lot of mucking about. Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises. WHAT'S INSIDE- FOCUSED CHAPTERS-Key questions in AI are answered concisely, and complex ideas are broken down into easily digestible parts. WIDE RANGE OF TOPICS-Raschka covers topics ranging from neural network architectures and model evaluation to computer vision and natural language processing. PRACTICAL APPLICATIONS-Learn techniques for enhancing model performance, fine-tuning large models, and more. You'll also explore how to- . Manage the various sources of randomness in neural network training . Differentiate between encoder and decoder architectures in large language models . Reduce overfitting through data and model modifications . Construct confidence intervals for classifiers and optimize models with limited labeled data . Choose between different multi-GPU training paradigms and different types of generative AI models . Understand performance metrics for natural language processing . Make sense of the inductive biases in vision transformers If you've been on the hunt for the perfect resource to elevate your understanding of machine learning, Machine Learning Q and AIwill make it easy for you to painlessly advance your knowledge beyond the basics.