Artificial intelligence (AI) Books

Book SynopsisAn accessible philosophy of technology textbook intended for interested students who don''t necessarily have a background in philosophy of science--

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Book SynopsisAI has the potential to help us create a more peaceful, just, sustainable, healthy and joyful world. Digital Dharma shows you a path.' Sam Altman, CEO of OpenAIIn a world captivated yet bewildered by artificial intelligence, spiritual icon Deepak Chopra explores AI''s untapped potential to unlock the mystery of consciousness, positioning AI not as a threat, but as a powerful catalyst for personal and spiritual growth.Digital Dharma shows how the most popular, freely available chatbots can serve as guides through every level of human potential survival and safety, emotional connection, self-worth, abundance, creativity, wisdom and the infinite possibilities of cosmic consciousness.Featuring personal assessments and practical exercises, Deepak Chopra invites you to explore a relationship with AI not merely as a technological tool, but as a partner in shaping a future where human potential solves pressing global issues and empowers

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Book SynopsisCould a computer have a mind? What kind of machine would this be? Exactly what do we mean by ''mind'' anyway?The notion of the ''intelligent'' machine, whilst continuing to feature in numerous entertaining and frightening fictions, has also been the focus of a serious and dedicated research tradition. Reflecting on these fictions, and on the research tradition that pursues ''Artificial Intelligence'', raises a number of vexing philosophical issues. Minds and Computers introduces readers to these issues by offering an engaging, coherent, and highly approachable interdisciplinary introduction to the Philosophy of Artificial Intelligence.Readers are presented with introductory material from each of the disciplines which constitute Cognitive Science: Philosophy, Neuroscience, Psychology, Computer Science, and Linguistics. Throughout, readers are encouraged to consider the implications of this disparate and wide-ranging material for the possibility of developing machines with minds. And they can expect to deTrade ReviewThis book is an excellent introduction to some of the most important problems within the philosophy of artificial intelligence... Carter's book is in fact highly interdisciplinary, but he has clearly succeeded in integrating some very crucial topics regarding artificial intelligence in a clever and thought-provoking manner... The book will be an excellent choice as a textbook to be used for a university course introducing important and interesting problems within the philosophy of artificial intelligence. History and Philosophy of Logic Like good science fiction, Matt Carter's Minds and Computers essentially constitutes an exploration into what makes human beings what they are... [It] is a teaching tool par excellence and should find its way into every classroom where the philosophy of mind is being studied. Heythrop Journal

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Book SynopsisEssential exploration of artificial intelligence and its key roles, components, uses, benefits and challenges within a wide range of real-world applications. Dr. Kyle Allison, senior executive, professor, speaker and author who is focused on all things digital uses his multi-faceted knowledge and experience from teaching and consulting to offer valuable and succinct need-to-know facts in 6 laminated pages. Working on digital strategies of all sizes including retailers like Best Buy, Dick's Sporting Goods, VF Corporation and more, Dr. Allison focuses on the most important functions of AI for business strategy in our famous QuickStudy format that gives more answers per page than any other source. AI has the power to improve performance, ensure quality standards and boost the output of resources. At this price do not miss this eye-opening tool that can offer you direction for the use of AI for everything from data management and finance to customer service, human resources, and more.

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Book SynopsisProgramming Game AI by Example provides a comprehensive and practical introduction to the “bread and butter” AI techniques used by the game development industry, leading the reader through the process of designing, programming, and implementing intelligent agents for action games using the C++ programming language. Techniques covered include state- and goal-based behavior, inter-agent communication, individual and group steering behaviors, team AI, graph theory, search, path planning and optimization, triggers, scripting, scripted finite state machines, perceptual modeling, goal evaluation, goal arbitration, and fuzzy logic.

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Book SynopsisCovers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art. 1980 edition.

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Book SynopsisNEW YORK TIMES BESTSELLER • How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial.   How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle?

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Book SynopsisAI is revolutionizing the world. Here’s how democracies can come out on top.Artificial intelligence is revolutionizing the modern world. It is ubiquitous—in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. If we wield it for destruction, it will fan the flames of a new kind of war, one that holds democracy in the balance. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent—or more fascinating—than how we harness this technology and for what purpose. The new fire has three sparks: data, algorithms, and computing power. These components fuel viral disinformation campaigns, new hacking tools, and military weapons that

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Book Synopsis'A fascinating hybrid. Part freewheeling history of the rise of the modern autonomous vehicle, part intimate memoir from an insider who was on the front lines for much of that history, Autonomy will more than bring readers up to speed on one of today's most closely watched technologies' Brian Merchant, author of The One DeviceFrom the ultimate insider a former General Motors executive and current advisor to the Google Self-Driving Car project comes the definitive story of the race between Google, Tesla and Uber to create the driverless car.We stand on the brink of a technological revolution. In the near future, most of us will not own automobiles, but will travel instead in driverless electric vehicles summoned at the touch of an app. We will be liberated from driving, so that the time we spend in cars can be put to more productive use. We will prevent more than 90 percent of car crashes, provide freedom of mobility to the elderly and disabled and decrease our dependence on fossil fuTrade Review‘If you want a glimpse of how the future is being engineered today, there is no better book’ Jeffrey Sachs, author of The End of Poverty ‘An entertaining and accessible account of the biggest disruption in the history of the auto industry, and indeed the entire transportation industry’ Rick Wagoner, Former Chairman and Chief Executive Officer, General Motors ‘An insider’s view into the thrilling who-will-win-it race to invent and control driverless cars – and the radically altered future that will follow in their wake’ Robin Chase, Cofounder, Zipcar, and author of Peers Inc ‘A rich and entertaining insider’s account . . . required reading for anyone interested in the future of mobility’ Roger Martin, coauthor of Playing to Win ‘Tells the remarkable story of innovators who are changing transportation as we know it’ Clayton M. Christensen, author of The Innovator’s Dilemma ‘Takes us inside the auto industry as it is today – and what may be a very different industry tomorrow’ Daniel Yergin, author of The Prize and The Quest ‘Essential reading’ The Times

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Book SynopsisArtificial intelligence has long been a mainstay of science fiction and increasingly it feels as if AI is entering our everyday lives, with technology like Apple's Siri now prominent, and self-driving cars almost upon us.But what do we actually mean when we talk about 'AI'? Are the sentient machines of 2001 or The Matrix a real possibility or will real-world artificial intelligence look and feel very different? What has it done for us so far? And what technologies could it yield in the future?AI expert Yorick Wilks takes a journey through the history of artificial intelligence up to the present day, examining its origins, controversies and achievements, as well as looking into just how it works. He also considers the future, assessing whether these technologies could menace our way of life, but also how we are all likely to benefit from AI applications in the years to come.Entertaining, enlightening, and keenly argued, this is the essential one-stop guide to the AI debate.

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Book SynopsisA New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human.It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof?We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors.Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear.In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.Trade ReviewA concise, insightful and sophisticated guide to maintaining humane values in an age of new machines -- The New York Times Book ReviewWhile we need to rewrite the rules of the twenty-first-century economy, Kevin's book is a great look at how people can do this on a personal level to always put humanity first -- Andrew YangLightly written and engaging * The Times *Kevin Roose provides a clear, compelling strategy for surviving the next wave of technology with our jobs - and souls - intact... Futureproof is the survival guide you need. * Charles Duhigg, The Power of Habit *AI will be a far bigger game changer for the world than COVID-19. And unless we start thinking and planning for it far more seriously now, we will be in even greater peril. Futureproof is a brilliant book that explains what we need to do, all of us, right now * Anthony Seldon *Roose offers an upbeat, practical guide for dealing with "a world that is increasingly arranged by and for machines" . . . Helpful advice to quell workers' anxiety * Kirkus Reviews *PRAISE FOR YOUNG MONEY - If Kevin Roose's finely crafted Young Money does not scare you straight about the life of a young financial analyst on Wall Street, it can't be done. Roose's frolic through Wall Street's playpen is a must-read. * House of Cards; Money and Power *Despite all the press about Wall Street, the stories that don't usually get told are those of the recent college graduates who clamour for the chance to work 100 hour plus weeks at the big banks. Kevin Roose's new book, which follows a handful of analysts through the trials and tribulations of their early years on the Street, is a thoughtful exploration of their motivations and their experiences - and it's a great read. * The Smartest Guys in the Room and All the Devils are Here *A cautionary true-life tale, Young Money should be required reading for every college student who is contemplating a job on Wall Street. As for the rest of us, who remember Wall Street before 2008, Kevin Roose has provided a great window into how that world has changed-and how it hasn't. * The Predator's Ball *Highly entertaining and impressive ...Roose's captivating read is sure to appeal to readers young and old who are interested in the zeitgeist of Wall Street since the crash * Publisher's Weekly *[Young Money] offers a compelling glimpse of Wall Street in the post-2008 recession era...thought provoking, excellent book * Booklist *The young people who have flocked to Wall Street are often badly used, caught up in power struggles among middle management and little appreciated ... [Young Money] captures the daily indignities to which the junior capitalists are subjected * Kirkus Reviews *

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Book SynopsisWith this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.

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Book SynopsisNamed one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs.In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity—operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete. The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices.Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.Trade Review"It's a must read for economists; it forces us to think more deeply about the essence of AI and its connection to prediction. And it's a must read for the public who need to know the enormous dangers the old/new AI poses to our own and our children's economic futures and freedoms." — Journal of Economic LiteratureAdvance Praise for Prediction Machines:"What does AI mean for your business? Read this book to find out." — Hal Varian, Chief Economist, Google". . . framing AI in terms of its predictive capabilities is not only a realistic portrayal of its capabilities today, but also one that business leaders can both understand and act upon. For that alone the book is worth reading." — Forbes"This book, written by three brilliant minds from the University of Toronto, is invaluable for business leaders looking for a primer on how AI might impact them." — Business Insider"A must-read for business leaders who need to know where AI is heading and how best to harness the new technology." — Journal of Economic Literature"Prediction Machines does a good job of showing where computers work best and where humans still have an edge." — the New York Times". . . a useful way to look at the fast-changing world of machine learning . . ." — the Financial Times"Consider it a CEO guide to parsing and prioritizing AI opportunities." — McKinsey Quarterly"Prediction Machines provides a very accessible and high-level overview of machine learning and the power and limits of the predictions provided by AI algorithms. The book is a must-read for business leaders and executives." — TechTalks"The authors . . .offer a compelling framework for mapping out the likely impact of AI on economies in the decades ahead." — BlackRock Investment Management

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Book SynopsisA Wall Street Journal bestsellerA Publisher's Weekly bestsellerA fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice.Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures.Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business models, make better decisions, have better relationships with their customers, offer better products and services, and command higher prices.Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One.Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.Trade Review"Use All-In On AI to keep up with the evolving workplace, transform processes, and put AI at the core of everything you do." — TD magazine (Association for Talent Development)Named one of "4 of the Most Anticipated Business Books You Need to Read in 2023" by Inc. magazineAdvance Praise for All-In on AI:"Most organizations only scratch the surface of what is possible with AI. If you want to learn what it means to commit to AI as a transformational business resource, read this book and follow its prescriptions." — Marco Iansiti, David Sarnoff Professor of Business Administration, Harvard Business School; coauthor, Competing in the Age of AI"AI is the most transformational technology available today, and its primary benefits will go to those companies that exploit it aggressively. All-In on AI is an excellent guide to extracting the maximum value from AI." — Piyush Gupta, CEO, DBS Bank"AI is most easily incorporated in the strategies and practices of startups that have embraced its promise as essential to differentiation and performance. Davenport and Mittal identify the multifaceted organizational capabilities necessary for legacy companies to capture the benefits of AI, which will be essential to their competitive success." — Gary Loveman, Chairman and CEO, Well"All-In on AI describes the leadership, technology, and organizational change strategies that deliver the inherent value to make AI-fueled businesses possible." — Rajeev Ronanki, Senior Vice President, Elevance Health; author, You and AI

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Book SynopsisThis pioneering Research Handbook on Public Management and Artificial Intelligence provides a comprehensive overview of the potentials, challenges, and governance principles of AI in a public management context. Multidisciplinary in approach, it draws on a variety of jurisdictional perspectives and expertly analyses key topics relating to this socio-technical phenomenon.Showcasing contributions by a collection of eminent scholars from across the globe, this Research Handbook presents cutting-edge research on AI in public management. Organised into three parts corresponding with distinct foci of research, it explores the adoption and implementation of AI in public management settings, presents specific case studies and examples of AI in the public sector, and outlines future trends and directions in the evolution of AI adoption and use in public management.Based on empirical research from a global perspective, this Research Handbook will prove invaluable to practitioners, policymakers, and public managers both as users and co-creators of AI-enabled services. Researchers and academics in the fields of organisational innovation, public management, technology, public administration, and public policy will also find this to be an essential read.Trade Review‘As AI makes an unprecedented leap forward, there are fundamental questions about the role it will and should play in government. This must-read volume brings together contributions from leaders in digital governance research from around the globe to answer these questions. With its truly international perspective and breadth, this is an essential reference for the AI era.’ -- Karen Mossberger, Arizona State University, USTable of ContentsContents: Foreword xvi Introduction to the Research Handbook on Public Management and Artificial Intelligence 1 Yannis Charalabidis, Rony Medaglia and Colin van Noordt PART I ADOPTION AND IMPLEMENTATION OF AI IN PUBLIC MANAGEMENT 1 Artificial intelligence algorithms and applications in the public sector: a systematic literature review based on the PRISMA approach 8 David Valle-Cruz J., Ramon Gil-Garcia and Rodrigo Sandoval-Almazan 2 A trifold research synthesis on AI-induced service automation 27 Matthias Döring and Lisa Hohensinn 3 AI in the public sector: fundamental operational questions and how to address them 45 Muiris MacCarthaigh, Stanley Simoes and Deepak P. 4 Towards a systematic understanding on the challenges of public procurement of artificial intelligence in the public sector 62 Keegan McBride. Colin van Noordt, Gianluca Misuraca and Gerhard Hammerschmid 5 Enhancing citizen service management through AI-enabled systems – a proposed AI readiness framework for the public sector 79 Alvina Lee, Venky Shankararaman and Ouh Eng Lieh 6 Measuring user-centricity in AI-enabled European public services: a proposal for enabling maturity models 97 Francesco Niglia and Luca Tangi PART II EXAMPLES AND CASE STUDIES OF AI IN PUBLIC MANAGEMENT 7 Application of artificial intelligence by Poland’s public administration 118 Bartosz Rzycki, David Duenas-Cid and Aleksandra Przegalińska 8 The effect of algorithmic tools on public value considerations in participatory processes: the case of regulations.gov 136 Sarah Giest, Alex Ingrams and Bram Klievink 9 Artificial intelligence and its regulation in representative institutions 149 Fotios Fitsilis and Patricia Gomes Rêgo de Almeida 10 Personalised public services powered by AI: the citizen digital twin approach 168 Aleksi Kopponen, Antti Hahto, Tero Villman, Petri Kettunen, Tommi Mikkonen and Matti Rossi 11 Enterprise data governance for artificial intelligence: implications from algorithmic jobseeker profiling applications in government 185 Luis Felipe Luna-Reyes and Teresa M. Harrison PART III FORWARD-LOOKING RESEARCH ON AI IN PUBLIC MANAGEMENT 12 Taking stock and looking ahead – developing a science for policy research agenda on the use and uptake of AI in public sector organisations in the EU 206 Luca Tangi, Peter Ulrich, Sven Schade and Marina Manzoni 13 Analysis of driving public values of AI initiatives in government in Europe 224 Colin van Noordt, Gianluca Misuraca and Ines Mergel 14 Challenges and design principles for the evaluation of productive AI systems in the public sector 243 Per Rådberg Nagbøl, Oliver Krancher and Oliver Müller 15 Trustworthy public sector AI: research progress and future agendas 260 Naomi Aoki, Melvin Tay and Masaru Yarime

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Book Synopsis‘Refreshingly clear-eyed … Faking It is an insightful and intelligent book that’s a must for those looking for facts about AI hype.’ – Books+Publishing‘AI will be as big a game-changer as the smart phone and the personal computer – or bigger! This book will help you navigate the revolution.’ – Dr Karl KruszelnickiArtificial intelligence is, as the name suggests, artificial and fundamentally different to human intelligence. Yet often the goal of AI is to fake human intelligence. This deceit has been there from the very beginning. We’ve been trying to fake it since Alan Turing answered the question ‘Can machines think?’ by proposing that machines pretend to be humans.Now we are starting to build AI that truly deceives us. Powerful AIs such as ChatGPT can convince us they are intelligent and blur the distinction between what is real and what is simulated. In reality, they lack true understanding, sentience and common sense. But this doesn’t mean they can’t change the world.Can AI systems ever be creative? Can they be moral? What can we do to ensure they are not harmful? In this fun and fascinating book, Professor Toby Walsh explores all the ways AI fakes it, and what this means for humanity – now and in the future.Trade Review‘Refreshingly clear-eyed … Faking It is an insightful and intelligent book that’s a must for those looking for facts about AI hype.' -- Books+Publishing‘AI will be as big a game-changer as the smart phone and the personal computer – or bigger! This book will help you navigate the revolution.’ -- Dr Karl Kruszelnicki‘Faking It includes a whistlestop tour of AI history, providing a long list of grifts and false dawns, from the 1770 marvel, the Mechanical Turk, a chess-playing automaton secretly linked to a human player, to ELIZA, the 1967 natural language model that could hold a conversation to the level of tuned-out coworker.’ — KURT JOHNSON, THE AGE

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Book SynopsisFully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and graduate students. Includes new chapters on deep learning including generative AI, causality and social impact, new social impact sections, major revisions to knowledge graphs, reasoning and decision making, and more AIPython code.Trade Review'This is an important textbook. Based on their broad experience, the authors harmonize some of the most exciting recent developments in the field, such as generative AI, with more traditional methods, within a unified agent framework. This will broaden the perspective of those relatively new to the field, for whom AI and deep learning appear almost synonymous.' Yoav Shoham, Stanford University and AI21 Labs'This book is a tour de force. It provides a comprehensive introduction to so many topics in modern AI. The clarity of the exposition and the ability to capture the intuition underlying complex concepts make this book compelling and appealing to a broad audience.' Pascal Van Hentenryck, Georgia Institute of Technology'This new edition offers an up-to-date account of AI, presenting the field in an accessible and unified manner. I particularly like the 'relations-late' approach, in which first-order logic and relational AI are covered later, after thoroughly covering more basic, feature-based methods. The hybrid data-driven/model-based approach to agent design that the authors propose will be essential to the development of reliable and trustworthy intelligent systems.' Kevin Patrick Murphy, Google Brain, author of Probabilistic Machine Learning'Poole and Mackworth's now classic textbook has guided my senior undergraduate AI class since its first edition. Coupled with online resources, the book presents a comprehensive overview, with technical substance and many pointers for further study, in a coherent structure that fosters learning of key interrelated concepts. The third edition updates the content to cover the massive recent AI advances.' Jesse Hoey, University of Waterloo'Machine learning has undergone spectacular advances over the last few years, but to harvest the new capabilities one needs an engineering framework to build computational agents. This book teaches students about the concepts and techniques that make that possible.' Rodney Brooks, MIT and Robust AI'Wide-ranging, well-organized, up-to-date, and in-depth coverage of the AI world. The numerous figures, algorithms, and extensive references make this a valuable resource that readers will return to repeatedly. Instructors and students will benefit from the well-crafted end-of-chapter exercises. The thought-provoking social impact sections in each chapter and the social impact chapter admirably address the positive and harmful impacts on people. These complement the strong technical descriptions, wisely encouraging researchers and practitioners to limit the risks by highlighting human-centred AI. Poole and Mackworth are highly acclaimed experts who eagerly present their subject with enthusiasm and thoroughness.' Ben Shneiderman, University of Maryland, author of Human-Centered AI'This revised and extended edition of Artificial Intelligence: Foundations of Computational Agents should become the standard text of AI education. Computer science students will find in this volume a broad and uniquely coherent perspective on many computational models of learning, reasoning, and decision-making. Students of causal inference, in particular, will rejoice at viewing the causal revolution reconnected to its roots in formal logic and probabilistic decision-making, strengthened and reinforced by concrete algorithms, challenging exercises, and open source AIPython codes. Highly recommended.' Judea Pearl, UCLA, Turing Award winner and author of Causality and The Book of Why'This textbook is impressively comprehensive, covering all the major AI paradigms that have been introduced and studied over the years. At the same time, it is up to date with the latest technical advances and interdisciplinary perspectives on social impacts. I expect it to be a valuable resource for both teachers and students.' Peter Stone, University of Texas at Austin'Artificial Intelligence: Foundations of Computational Agents is a great AI textbook written by prominent leaders in the field. It covers everything you want to know about AI in a very accessible style, accompanied by a wide range of thoughtful and challenging exercises. I find this book to be an extremely valuable resource, not only for teaching, but even more so for offering an updated reference to a wide spectrum of foundational subjects at the current frontier of AI.' Rina Dechter, University of California, Irvine, author of Constraint Programming'Poole and Mackworth's book has been my go-to resource for students who need an introduction to Artificial Intelligence. While the previous versions have provided a complete overview of the field, the newer version organizes this information in a crystal clear manner. The division of the topics based on what the agent knows, what is in the world, and what the effects of its actions are allow for a logical flow of topics inside AI. As a comprehensive textbook for AI that includes slides, solutions, and code, this book is a must-have on the bookshelf for AI instructors, students, researchers, and practitioners.' Sriraam Natarajan, University of Texas at Dallas'This is a great foundational book on the science of AI, covering the main concepts and techniques using a simple structured approach. The extensive material on the social impact of AI provides much needed attention to the responsible design and use of AI. AI researchers can find here the indispensable foundational knowledge and the needed ethical attitude to create beneficial AI innovation.' Francesca Rossi, IBM Fellow'The latest edition of Poole and Mackworth's book emphasizes the societal impacts of AI in every chapter, making it an essential read for anyone interested in AI, especially those who will shape its future to ensure these powerful technologies benefit society and minimize harms.' Saleema Amershi, Microsoft Research'This textbook provides an amazing introduction to the field of AI. By bringing together learning, reasoning, and decision-making, it shows the rich interconnections across the various AI subfields. The writing is just at the right level to introduce students to the different facets of AI. The updated edition seamlessly integrates the exciting developments in deep learning into the broader AI context. The text also highlights the societal impact of AI, including AI ethics and computational sustainability.' Carla Gomes, Cornell University'Poole and Mackworth - two pioneers of AI - present an admirably broad and complete introduction to the field, with a very useful focus on intelligent agents. From deep learning to causal reasoning, from Bayesian networks to knowledge graphs, from fundamental algorithms to effective heuristics, this book covers a wide range of important topics, each accompanied by a timely section on social impact. Highly recommended!' Holger Hoos, RWTH Aachen'Poole and Mackworth's Artificial Intelligence: Foundations of Computational Agents 3e is a tour de force. This is a comprehensive and clearly written text that takes the reader through core concepts in symbolic AI and machine learning, providing pathways for broad introductory undergraduate courses, or focused graduate courses. It's an outstanding resource for student and instructor alike. Whether you're a seasoned AI researcher or a student entering the field, you'll learn a great deal from reading this book.' Sheila McIlraith, University of TorontoTable of ContentsPreface; Part I. Agents in the World: 1. Artificial intelligence and agents; 2. Agent architectures and hierarchical control; Part II. Reasoning and Planning with Certainty: 3. Searching for solutions; 4. Reasoning with constraints; 5. Propositions and inference; 6. Deterministic planning; Part III. Learning and Reasoning with Uncertainty: 7. Supervised machine learning; 8. Neural networks and deep learning; 9. Reasoning with uncertainty; 10. Learning with uncertainty; 11. Causality; Part IV. Planning and Acting with Uncertainty; 12. Planning with uncertainty; 13. Reinforcement learning; 14. Multiagent systems; Part V. Representing Individuals and Relations: 15. Individuals and relations; 16. Knowledge graphs and ontologies; 17. Relational learning and probabilistic reasoning; Part VI. The Big Picture: 18. The social impact of artificial intelligence; 19. Retrospect and prospect; Appendices; References; Index of Algorithms; Index.

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Book SynopsisArtificial intelligence is being used, on a massive scale, to decide who gets hired, fired and promoted. Through whistleblower exclusives, leaked internal documents and astonishing real-world practices, journalist Hilke Schellmann reveals the secret rise of AI in the world of work. Testing them herself, she discovers that many algorithms making these high-stakes calculations do more harm than good, and traces their origins to troubling pseudoscientific ideas about people’s ‘true’ essence. Interviewing experts, developers and ordinary workers, The Algorithm offers fascinating and alarming truths. From software analysing interviewees’ facial expressions and tone of voice, to video games assessing their performance, to ‘personality profiles’ built from candidates’ social media, almost all major employers use AI in recruitment. Programmes track their staff’s activity, group dynamics and physical health, identifying who is productive, a bully, worth long-term investment, or likely to quit. But can we trust them? In a world of severe job insecurity, workplace algorithms are on the brink of dominating or even threatening us—if we don’t fight back.Trade Review‘The best available case study [of] … the use of artificial intelligence by human resource departments.' -- The New York Times, 'Top 5 Books on Artificial Intelligence'‘Focuses on how the technology is already deployed in personnel decisions in the workplace — with alarming results.’ -- Financial Times'Schellmann pulls the curtain back on the AI-driven "HR tech" revolution taking over hiring and managing employees, and finds tools that are arbitrary, ineffective, discriminatory and likely unlawful. Reads like a dozen scandals waiting to erupt.' -- Gavin Mueller, author of 'Breaking Things at Work''A disturbing investigation into use of AI systems in hiring, firing, and employee surveillance. As Schellmann demonstrates, AI has moved into crucial areas of our lives, but the process has been so fast and silent that its influence is almost invisible. She argues that HR managers should be required to understand how their algorithms work, and there must be greater human input to personnel decisions. This eye-opening book makes it hard to disagree.' -- 'Kirkus Reviews''In "The Algorithm", Hilke Schellmann has done the impossible: she has rendered the baffling 'Wild West' of AI immensely readable and approachable. Schellmann gives us the dark and hidden history of tech innovation and the marketplace through the stories of those whose lives have been smashed by its glitches.' -- Eliza Griswold, Pulitzer Prize-winning author of 'Amity and Prosperity''One of the most important topics of our time--one that impacts all of us more than we realise. The book takes a balanced approach to illuminating the current state of AI in the workplace. It's not just about incredible benefits or doomsday scenarios, but a real look into the current state of these tools, the incentive systems driving their proliferation, the mixed results they provide, and how we might ensure better outcomes. Highly recommended.' -- Ryan Fuller, former vice president for workplace intelligence, Microsoft'A fresh, important perspective on how AI is changing many critical workplace decisions in organizations. Schellmann's research is thorough and clever, and exposes the many of problems that AI and its proponents have already created for companies and employees.' -- David Futrell, former senior director of organization performance, Walmart'Hilke Schellmann was one of the first journalists to understand the dangers of AI passing judgement on workers, and The Algorithm is an absolutely vital book about the risks and harms of the systems already operating--on us--today.' -- Clay Shirky, author of "Cognitive Surplus" and "Here Comes Everybody"

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Book SynopsisWhat is artificial intelligence? What problems does it solve? Should we fear its potential? In this highly accessible guide to the subject, Richard Urwin explains how AI came about and how it has developed over the years through the construction of ever more sophisticated computer programs. From primitive calculators and early robotics to stock market analytics and ChatGPT, readers can explore the history and far-reaching capabilities of this dynamic field and its potentially frightening possibilities. Includes:• The History of Artificial Intelligence• Data-mining and Statistics• Deep learning• Swarm Intelligence• The singularity By turns fascinating and scary, Artificial Intelligence will take the reader on an amazing journey of this field''s world-changing potential.

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Book SynopsisDeep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with R, Second Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. about the technology Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. what's inside Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation about the reader For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.

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Book SynopsisIn 2018 DeepMind published the shocking results of their chess-playing artificial intelligence software, AlphaZero. Chess players looked in disbelief and immediately wondered how AI would affect the future of chess. Less than a year later, a whole new wave of chess engines emerged that were based on using neural networks to evaluate positions in a completely new way. This book is about the extraordinary impact that AI has had on modern chess. The games of top chess players since the end of 2018 have reflected the use of these new engines in home analysis. They have significantly developed opening theory as well as the general understanding of middlegame concepts. By analysing these games with the help of neural network engines, FIDE Master Joshua Doknjas discusses numerous exciting ideas and examines areas of chess that had previously been overlooked. With thorough explanations, questions, and exercises, this book provides fascinating material for masters and less experienced players alike.

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Book SynopsisEthan Mollick is a Professor of Management at Wharton, specializing in entrepreneurship and innovation. His research has been featured in various publications, including Forbes, the New York Times, and the Wall Street Journal. He is the creator of numerous educational games on a variety of topics. He lives and teaches in Philadelphia, Pennsylvania.

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Book SynopsisPrepare for the coming convergence of AI and quantum computing A collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this coming watershed event. In the book, you'll discover that we're on the cusp of seeing the stuff of science fiction become reality, with huge implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award winning author David Brin, you'll also find: Explorations of the increasing pace of technological developmentExplanations of why seemingly unusual and surprising breakthroughs might be just around the cornerMaps to navigate the potential minefields that await us as AI and quantum computing come togetherA fascinating and thought-provoking compilation of insights from some of the leading technological voices in the world, Convergence convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready.Table of ContentsPreface xi Foreword xix Part I Policy and Regulatory Impacts 1 Chapter 1 Quantum Inflection Points 3Jim Gable Chapter 2 Quantum Delegation 11Mandy Sweeney and Chris Gauthier Chapter 3 The Problem of Machine Actorhood 23Patrick Thaddeus Jackson Chapter 4 Data Privacy, Security, and Ethical Governance Under Quantum AI 37Sarah Pearce Chapter 5 The Challenge of Quantum Noise 45Philip Johnson Chapter 6 A New Kind of Knowledge Discovery 53Ramin Ayanzadeh and Milton Halem Part II Economic Impacts 61 Chapter 7 Quantum Tuesday: How the U.S. Economy Will Fall, and How to Stop It 63Alexander W. Butler Chapter 8 Quantum-AI Space Communications 83Mason Peck Chapter 9 Quantum Planet Hacking 93Philip L. Frana Chapter 10 Ethics and Quantum AI for Future Public Transit Systems 111Benjamin Crawford Chapter 11 The Road to a Better Future 119Denise Ruffner and André M. König Part III Social Impacts 127 Chapter 12 The Best Numbers Are in Sight. But Understanding? 129Roald Hoffmann and Jean-Paul Malrieu Chapter 13 The Advancement of Intelligence or the End of It? 143Kate Jeffery Chapter 14 Quantum of Wisdom 157Colin Allen and Brett Karlan Chapter 15 Human Imagination and HAL 167Erik Viirre Chapter 16 A Critical Crossroad 175Joseph N. Pelton Chapter 17 Empathetic AI and Personalization Algorithms 183Philippe Beaudoin and Alexander W. Butler Chapter 18 Should We Let the Machine Decide What Is Meaningful? 193J. M. Taylor Chapter 19 The Ascent of Quantum Intelligence in Steiner’s Age of the Consciousness Soul 205Stephen R. Waite Chapter 20 Quantum Computing’s Beautiful Accidents 213Christopher Savoie Appendix A What Is Quantum Computing? 221Philip L. Frana Appendix B What Is Artificial Intelligence? 239Philip L. Frana Glossary 247 References 251 Index 259 About the Editor 271

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Book SynopsisAI has the potential to transform leadership and the human experience of work or to lead us into an automated and uninspiring work reality. Which one will it be?

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Book SynopsisA visit to a physician these days is cold: physicians spend most of their time typing at computers, making minimal eye contact. Appointments generally last only a few minutes, with scarce time for the doctor to connect to a patient's story, or explain how and why different procedures and treatments might be undertaken. As a result, errors abound: indeed, misdiagnosis is the fourth-leading cause of death in the United States, trailing only heart disease, cancer, and stroke. This is because, despite having access to more resources than ever, doctors are vulnerable not just to the economic demand to see more patients, but to distraction, burnout, data overload, and their own intrinsic biases. Physicians are simply overmatched. As Eric Topol argues in Deep Medicine, artificial intelligence can help. Natural-language processing could automatically record notes from our doctor visits; virtual psychiatrists could better predict the risk of suicide or other mental health issues for vulnerable patients; deep-learning software will make every physician a master diagnostician; and we could even use smartphone apps to take our own medical "selfies" for skin exams and receive immediate analysis. . On top of that, the virtual smartphone assistants of today--Alexa, Siri, Cortana--could analyze our daily health data to reduce the need for doctor visits and trips to the emergency room, and support for people suffering from asthma, epilepsy, and heart disease. By integrating tools like these into their daily medical practice, doctors would be able to spend less time collecting and cataloging information, and more time providing thorough, intimate, and meaningful care for their patients, as no machine can.Artificial intelligence can also help remedy the debilitating cost of healthcare, both for individuals and the economy writ large. The medical sector now absorbs 20 percent of the US gross domestic product--it is largest sector by dollars and jobs. And it's very inefficient. Take the cost of medical scans: There are over 20 million medical scans performed in the US every day, and an MRI, for example, costs hundreds to thousands of dollars. AI could process 260 million medical scans (more than 2 weeks' worth) in less than 24 hours for a cost of only $1000. We pay billions and billions of dollars for the same work today.The American health care system needs a serious reboot, and artificial intelligence is just the thing to press the restart button. As innovative as it is hopeful, Deep Medicine ultimately shows us how we can leverage artificial intelligence for better care at lower costs with more empathy, for the benefit of patients and physicians alike.

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Book SynopsisWhat makes human cognition distinct from animal and artificial forms of intelligence?and how analogies play a crucial role in our unique abilities.In The Human Edge, cognitive scientist, poet, and translator Keith Holyoak takes a fresh look at what makes human intelligence special. His focus is analogy?the ability to see relational similarities between things that on the surface seem unalike. The book brings together a half century of research in cognitive, comparative, and developmental psychology, coupled with work in philosophy, law, education, linguistics, neuroscience, and artificial intelligence. Rather than simply examining analogy as an isolated human ability, Holyoak places it in the broader context of a trinity of special human capacities?analogy, language, and understanding the minds of other people. Each of these capacities relies on distinct neural circuitry in the human brain.Holyoak analyzes the similarities?and critical differences?between cognition in humans and in other intelligent animals, ranging from crows to chimpanzees. He also traces how relational thinking develops in children, emphasizing the distinctive advances that begin at about age three. Along the way, Holyoak paints a broad picture of how people use analogy in everyday life?to make jokes, to argue, to teach, to make moral judgments. He considers when an analogy counts as rational evidence?for or against a scientific hypothesis, or the judgment in a legal case. He also evaluates the most recent advances in artificial intelligence that have started to achieve complex tasks previously limited to humans while highlighting the distinctive aspects of human creativity.In a time of rapid technological change, with ominous portents for society, this book provides a timely reexamination of what really counts as the human edge.

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Book SynopsisBernard Marr is one of the world's leading voices in business and technology. A futurist and strategic performance consultant, he has worked with many of the world's best-known organizations and writes a regular column for Forbes. Marr is also a major influencer with a combined following of 4 million people across his social media channels and was ranked by LinkedIn as one of the top 5 business influencers in the world. He is the author of The Intelligence Revolution, Data Strategy and Data-Driven HR, all published by Kogan Page. He is based in Milton Keynes, UK.

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Book SynopsisSUNDAY TIMES BESTSELLERThe creator of the Gaia hypothesis and the greatest environmental thinker of our time has produced an astounding new theory about the future of life on Earth. James Lovelock argues that the anthropocene - the age in which humans acquired planetary-scale technologies - is, after three centuries, coming to an end. A new age - the novacene - has already begun.New beings will emerge from existing artificial intelligence systems. They will think 10,000 times faster than we do and will regard us as we now regard plants. The cruel, violent machine takeover imagined by sci-fi writers will not happen: these hyper-intelligent beings will be as dependent on the health of the planet as we are. They will need the planetary cooling system of Gaia to defend from the increasing heat of the sun. Gaia depends on organic life. We will be partners in this project. It is crucial, Lovelock argues, that the intelligence of Earth survives and prospers. We are at present the only beings capable of understanding the cosmos, but he speculates that the novacene could be the beginning of a process that will see intelligence suffusing the entire cosmos. At the age 100, Lovelock has produced the most compelling work of his life.Trade ReviewThe hard science is explained with beautiful clarity, and a characteristic mischievous wit ... It is a bracing corrective -- Steven Poole * Guardian *This restlessly thoughtful and forward-looking book ... is partly a defence of a lifetime's ideas, but mostly an argument about how AI is soon to overtake us - and what that means for our species -- James McConnachie * The Times *Leavened with wit and optimism ... Novacene is the collected wisdom of an elder of our tribe which more than repays the short time it takes to read. -- Stephen Cave * Financial Times *Novacene reads like undiluted Lovelock. From the start of his writing life - no matter how tortuous the narrative or complex the argument - Lovelock has written persuasively. ... if you want a sense of hyperintelligence in bipedal form, Novacene is a good place to start. -- Tim Radford * Nature *

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Book SynopsisTable of ContentsIntroduction 1 Part 1: Exploring Practical AI and How It Works 7 Chapter 1: Demystifying Artificial Intelligence 9 Chapter 2: Looking at Uses for Practical AI 29 Chapter 3: Preparing for Practical AI 45 Chapter 4: Implementing Practical AI 63 Part 2: Exploring Vertical Market Applications 81 Chapter 5: Healthcare/HMOs: Streamlining Operations 83 Chapter 6: Biotech/Pharma: Taming the Complexity 91 Chapter 7: Manufacturing: Maximizing Visibility 99 Chapter 8: Oil and Gas: Finding Opportunity in Chaos 111 Chapter 9: Government and Nonprofits: Doing Well by Doing Good 119 Chapter 10: Utilities: Renewing the Business 133 Chapter 11: Banking and Financial Services: Making It Personal 141 Chapter 12: Retail: Reading the Customer’s Mind 149 Chapter 13: Transportation and Travel: Tuning Up Your Ride 157 Chapter 14: Telecommunications: Connecting with Your Customers 167 Chapter 15: Legal Services: Cutting Through the Red Tape 173 Chapter 16: Professional Services: Increasing Value to the Customer 181 Chapter 17: Media and Entertainment: Beating the Gold Rush 189 Part 3: Exploring Horizontal Market Applications 197 Chapter 18: Voice of the Customer/Citizen: Finding Coherence in the Cacophony 199 Chapter 19: Asset Performance Optimization: Increasing Value by Extending Lifespans 207 Chapter 20: Intelligent Recommendations: Getting Personal 217 Chapter 21: Content Management: Finding What You Want, When You Want It 231 Chapter 22: AI-Enhanced Content Capture: Gathering All Your Eggs into the Same Basket 239 Chapter 23: Regulatory Compliance and Legal Risk Reduction: Hitting the Bullseye On a Moving Target 249 Chapter 24: Knowledge Assistants and Chatbots: Monetizing the Needle in the Haystack 265 Chapter 25: AI-Enhanced Security: Staying Ahead by Watching Your Back 275 Part 4: The Part of Tens 287 Chapter 26: Ten Ways AI Will Influence the Next Decade 289 Chapter 27: Ten Reasons Why AI Is Not a Panacea 297 Index 313

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Book Synopsis'an essential and fascinating manual for every woman who wants to understand equality within an ever-changing, modern world.' Scarlett Curtis[this book] taught me more than any book has ever taught me about AI.' Chris Evans, Virgin RadioHow To Talk To Robots, is your girls guide to Artificial Intelligence. Entrepreneur Tabitha Goldstaub welcomes you into the AI world with a warm embrace. She brilliantly breaks down the tech-bro barriers offering a straightforward introduction and makes clear the enormous benefits of understanding AI..If your social feed defines your spending habits or you've downloaded the latest filter to see what you'll look like when you are old or now connect with your doctor using an app, have applied for a job online or used your phone to arrive at work in record time, AI is playing a part in how you live, work and play. We live in an era where machines are taught to learn and act without human intervention and there are infinite possibilities to their applicatioTrade Review Praise for How To Talk To Robots: ‘Takes on the tech bros and provides a fun and accessible primer to artificial intelligence.’ The Financial Times ‘If you’re a woman who feels like the world of tech and AI is a boys club that you’ve been purposefully left out of, you might not be wrong! Artificial intelligence has the potential to hugely improve the lives of women or further propel us into a world even more dominated by the patriarchy. How to Talk to Robots is an essential and fascinating manual for every woman who wants to understand equality within an ever-changing, modern world. It is a VITAL text for every woman who wants answers to their questions – whether you know about tech or barely understand what AI means. READ THIS BOOK! It’s very important.’Scarlett Curtis, Sunday Times bestselling author of Feminists Don’t Wear Pink ‘…[this book] taught me more than any book has ever taught me about AI’Chris Evans, Virgin Radio ‘The must have equivalent of The Social Dilemma’Virgin Radio listener Praise for Tabitha Goldstaub:‘Fast becoming one of the best-connected women in the UK…. Goldstaub is one of a small yet influential number of women who are reshaping the world of tech and how it reads – and interacts with our minds and bodies.’ VOGUE ‘There's a revolution under way — and a woman called Tabitha Goldstaub is on a mission to make sure not only that London takes the lead but that women are given an equal role in it.’ EVENING STANDARD ‘Tabitha Goldstaub…is particularly alarmed by AI’s potential for gender bias and, in an effort to address this, is spearheading a campaign to get more women working in the field.’ THE GUARDIAN ‘Start training like a robot now, says CognitionX's Tabitha Goldstaub’ CAMPAIGN MAGAZINE ‘…she’s on a mission to make sure women are given an equal role in it [AI].’ GRAZIA

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Book SynopsisTable of Contents1. Introduction 2. Data, measurements, and data processing 3. Data warehousing and online analytical processing 4. Pattern mining: basic concepts and methods 5. Pattern mining: advanced methods 6. Classification: basic concepts and methods 7. Classification: advanced methods 8. Cluster analysis: basic concepts and methods 9. Cluster analysis: advanced methods 10. Deep learning 11. Outlier Detection 12. Data mining trends and research frontiers Appendix: Mathematical background

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Book SynopsisDino Esposito is CTO and co-founder of Crionet, a company that provides innovative software and technology to professional sports organizations. A 16-time Microsoft MVP, he has authored 20+ books, including Introducing Machine Learning; and the Microsoft Press best-seller Microsoft .NET: Architecting Applications for the Enterprise. Francesco Esposito holds a degree in Mathematics, is the co-author of Introducing Machine Learning, and lives suspended between the depth of advanced mathematics and the intrigue of data science. He currently serves as the Head of Engineering and Data at Crionet. As an entrepreneur he founded Youbiquitous, a data analysis and software factory, and KBMS Data Force, a startup in Digital Therapy and intelligent healthcare.Table of ContentsCHAPTER 1 Artificially Intelligent Software CHAPTER 2 An Architectural Perspective of ML.NET CHAPTER 3 The Foundation of ML.NET CHAPTER 4 Prediction Tasks CHAPTER 5 Classification Tasks CHAPTER 6 Clustering Tasks CHAPTER 7 Anomaly Detection Tasks CHAPTER 8 Forecasting Tasks CHAPTER 9 Recommendation Tasks CHAPTER 10 Image Classification Tasks CHAPTER 11 Overview of Neural Networks CHAPTER 12 A Neural Network to Recognize Passports APPENDIX A Model Explainability

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Book SynopsisTable of ContentsAuthors' Note Foreword Prologue Chapter 1: First Contact Chapter 2: Medicina ex Machina Chapter 3: The Big Question: Does It “Understand?” Chapter 4: Trust but Verify Chapter 5: The AI-Augmented Patient Chapter 6: So Much More: Math, Coding, and Logic Chapter 7: The Ultimate Paperwork Shredder Chapter 8: Smarter Science Chapter 9: Safety First Chapter 10: The Big Black Bag Epilogue Further Reading Acknowledgments

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Book SynopsisOmar Santos is a cybersecurity thought leader with a passion for driving industry-wide initiatives to enhance the security of critical infrastructures. Omar is the lead of the DEF CON Red Team Village, chair of the Common Security Advisory Framework (CSAF) technical committee, and board member of the OASIS Open standards organization. Omar's collaborative efforts extend to numerous organizations, including the Forum of Incident Response and Security Teams (FIRST) and the Industry Consortium for Advancement of Security on the Internet (ICASI). Omar is a renowned expert in ethical hacking, vulnerability research, and incident response. He employs his deep understanding of these disciplines to help organizations stay ahead of emerging threats. His dedication to cybersecurity has made a significant impact on businesses, academic institutions, law enforcement agencies, and other entities striving to bolster their security measures. With over twenty books, video courses, Trade Review“As AI promises to revolutionize many aspects of work and society, there is a critical need for IT professionals to understand how AI can help them in practice. This book provides a highly accessible overview of how new and emerging AI capabilities can improve many key areas of IT. The authors were early industry pioneers in applying AI to improve networking, cybersecurity, and the design & operation of AI-based systems for large enterprises -- and their real-world AI experience is clearly shown throughout the book.”--John Apostolopoulos, Area Tech Lead Communication & Collaboration, Google, formerly VP/CTO Enterprise Networking Business, CiscoTable of ContentsPreface xix Chapter 1. Introducing the Age of AI: Emergence, Growth, and Impact on Technology 1 The End of Human Civilization 2 Significant Milestones in AI Development (This Book Is Already Obsolete) 2 The AI Black Box Problem and Explainable AI 5 What's the Difference Between Large Language Models and Traditional Machine Learning? 6 Hugging Face Hub: A Game-Changer in Collaborative Machine Learning 12 AI's Expansion Across Industries: Networking, Cloud Computing, Security, Collaboration, and IoT 14 AI's Impacts on the Job Market 15 AI's Impacts on Security, Ethics, and Privacy 17 Summary 30 References 31 Chapter 2. Connected Intelligence: AI in Computer Networking 33 The Role of AI in Computer Networking 34 AI for Network Management 37 AI for Network Optimization 45 AI for Network Security 49 AI for Traffic Classification and Prediction 52 AI in Network Digital Twins 54 Summary 55 References 56 Chapter 3. Securing the Digital Frontier: AI's Role in Cybersecurity 59 AI in Incident Response: Analyzing Potential Indicators to Determine the Type of Attack 59 AI in Vulnerability Management and Vulnerability Prioritization 71 AI in Security Governance, Policies, Processes, and Procedures 73 Using AI to Create Secure Network Designs 74 AI and Security Implications of IoT, OT, Embedded, and Specialized Systems 75 AI and Physical Security 76 AI in Security Assessments, Red Teaming, and Penetration Testing 77 AI in Identity and Account Management 80 Using AI for Fraud Detection and Prevention 86 AI and Cryptography 87 AI in Secure Application Development, Deployment, and Automation 90 Summary 93 References 94 Chapter 4. AI and Collaboration Building Bridges, Not Walls 95 Collaboration Tools and the Future of Work 96 AI for Collaboration 101 The Contact Center: A Bridge to Customers 109 AR/VR: A Closer Look 113 Affective Computing 116 Summary 116 References 117 Chapter 5. AI in the Internet of Things (AIoT) 119 Understanding the IoT Landscape 120 AI for Data Analytics and Decision Making 122 AI for IoT Resource Optimization 125 AI for IoT in Supply Chain 127 AI for IoT Security 130 AI for IoT in Sustainability 133 Summary 137 References 137 Chapter 6. Revolutionizing Cloud Computing with AI 139 Understanding the Cloud Computing Environment 139 AI in Cloud Infrastructure Management 145 AI for Cloud Security 147 AI for Cloud Optimization 151 AI and Machine Learning as a Service 153 Challenges of AI and Machine Learning in the Cloud 158 What Lies Ahead 158 References 159 Chapter 7. Impact of AI in Other Emerging Technologies 161 Executive Order on the Development and Use of Artificial Intelligence 162 AI in Quantum Computing 163 How AI Can Revolutionize Quantum Hardware Optimization 167 Data Analysis and Interpretation 168 AI in Blockchain Technologies 169 AI in Autonomous Vehicles and Drones 175 AI in Edge Computing 175 Summary 183 References 184 Index 185

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Book Synopsis''This is the most important conversation of our time, and Tegmark''s thought-provoking book will help you join it'' Stephen HawkingTHE INTERNATIONAL BESTSELLER. DAILY TELEGRAPH AND THE TIMES BOOKS OF THE YEARSELECTED AS ONE OF BARACK OBAMA''S FAVOURITE BOOKS OF 2018AI is the future - but what will that future look like? Will superhuman intelligence be our slave, or become our god?Taking us to the heart of the latest thinking about AI, Max Tegmark, the MIT professor whose work has helped mainstream research on how to keep AI beneficial, separates myths from reality, utopias from dystopias, to explore the next phase of our existence.How can we grow our prosperity through automation, without leaving people lacking income or purpose? How can we ensure that future AI systems do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will AI help life flourish as never before, or will machines eventually outsmart us at all tasks, and even, perhaps, replace us altogether? ''This is a rich and visionary book and everyone should read it'' The TimesTrade ReviewAll of us - not only scientists, industrialists and generals-should ask ourselves what can we do now to improve the chances of reaping the benefits of future AI and avoiding the risks. This is the most important conversation of our time, and Tegmark's thought-provoking book will help you join it -- Prof. Stephen HawkingThis is a rich and visionary book and everyone should read it. -- Oliver Moody * Sunday Times *I was riveted by this book. The transformational consequences of AI may soon be upon us­-but will they be utopian or catastrophic? The jury is out, but this enlightening, lively and accessible book by a distinguished scientist helps us to assess the odds. -- Prof. Martin Rees, Astronomer Royal, cosmology pioneer, author of Our Final HourThis is a compelling guide to the challenges and choices in our quest for a great future of life, intelligence and consciousness - on Earth and beyond. -- Elon Musk, CEO of SpaceX and Tesla MotorsBeing an eminent physicist and the leader of the Future of Life Institute has given Max Tegmark a unique vantage point from which to give the reader an inside scoop on the most important issue of our time, in a way that is approachable without being dumbed down. -- Jaan Tallinn, co-founder of SkypeMax seeks to facilitate a much wider conversation about what kind of future we, as a species, would want to create. Though the topics he covers - AI, cosmology, values, even the nature of conscious experience - can be fairly challenging, he presents them in an unintimidating manner that invites the reader to form her own opinions. -- Prof. Nick Bostrom, Founder of Oxford's Future of Humanity Institute, author of SuperintelligenceThe unprecedented power unleashed by artificial intelligence means the next decade could be humanity's best - or worst. Max has written the most insightful and just plain fun exploration of AI's implications that I've ever read. If you haven't been exposed to Max's joyful mind yet, you're in for a huge treat. -- Prof. Erik Brynjolfsson, Director of the MIT Initiative on the Digital Economy and co-author of "The Second Machine Age”Max's new book is a deeply thoughtful guide to the most important conversation of our time, about how to create a benevolent future civilization as we merge our biological thinking with an even greater intelligence of our own creation. -- Ray Kurzweil, Inventor, Author and Futurist, author of The Singularity is Near and How to Create a MindThis is an exhilarating book that will change the way we think about AI, intelligence, and the future of humanity. -- Bart Selman, Professor of Computer Science, Cornell UniversityTegmark successfully gives clarity to the many faces of AI, creating a highly readable book [...] Enjoy the ride, and you will come out the other end with a greater appreciation of where people might take technology and themselves in the years ahead. * Science *Stands out ... Tegmark explains brilliantly many concepts in fields from computing to cosmology, writes with intellectual modesty and subtlety, does the reader the important service of defining his terms clearly, and rightly pays homage to the creative minds of science-fiction writers who were, of course, addressing these kinds of questions more than half a century ago. It's often very funny, too. -- Steven Poole * The Telegraph *Fascinating ... for sheer science fun, it's hard to beat -- Stuart Russell * Nature *Lucid and engaging [...] Tegmark's explanation of how electronic circuitry - or a human brain - could produce something as evanescent and immaterial as thought is both elegant and enlightening. -- Frank Rose * Wall Street Journal *It should be among the most important items on our political agenda. Unfortunately, AI has so far hardly registered on our political radar ... Max Tegmark's Life 3.0 tries to rectify the situation. Written in an accessible and engaging style, and aimed at the general public, the book offers a political and philosophical map of the promises and perils of the AI revolution. Instead of pushing any one agenda or prediction, Tegmark seeks to cover as much ground as possible, reviewing a wide variety of scenarios concerning the impact of AI on the job market, warfare and political systems. Life 3.0 does a good job of clarifying basic terms and key debates, and in dispelling common myths. -- Yuval Noah Harari * The Guardian *Tegmark's smart, freewheeling discussion leads to fascinating speculations on AI-based civilizations spanning galaxies and eons-and knotty questions: Will our digital overlords be conscious? Will they coddle us with abudance and virtual-reality idylls or exterminate us with bumblebee-size attack robots? While digerati may be enthralled by the idea of superintelligent civilizations where "beautiful theorems" servce as the main economic resource, Tegmark's future will strike many as a one in which, at best, humans are dependent on AI-powered technology and, at worst, are extinct... Love it or hate it, it's an engrossing forecast. * Publishers Weekly *'I view this conversation about the future of AI as the most important one of our time,' he writes. Life 3.0 might convince even those who believe that AI is overhyped to join in. -- Clive Cookson * Financial Times *Explores one of the most intriguing scientific frontiers, artificial general intelligence, and how humans can grow along with it. ... most will find the narrative irresistible. * Kirkus Reviews *

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Book SynopsisSHORTLISTED FOR THE FT & McKINSEY BUSINESS BOOK OF THE YEAR AWARDS 2020The Sunday Times Best Business Books of the Year 2020The Times of London Best Business Books of the Year 2020The Financial Times Best Books of the Year 2020Fortune Magazine Best Business Book of the Year 2020 FiveBooks.com Best Non-Fiction of 2020 Inc.com Best New Business Books of 2020''A path-breaking, thought-provoking and in-depth study of how new technology will transform the world of work'' Gordon Brown ''Compelling... Should be required reading for any presidential candidate'' New York TimesNew technologies have always provoked panic about workers being replaced by machines. In the past, such fears have been misplaced, and many economists maintain that they remain so today. Yet in A World Without Work, Daniel Susskind shows why this time really is different. Advances in artificial intelligence mTrade ReviewCompelling ... Thought-provoking ... Should be required reading for any presidential candidate thinking about the economy of the future. * New York Times *An excellent and timely piece of analysis ... Susskind combines a mastery of global research with insight into how government works. A book of immense importance that demands to be taken very seriously by No. 10, and by anyone who cares about the future of our country and world. * New Statesman *A pathbreaking, thought-provoking, and in-depth study of how new technology will transform the world of work. * The Right Honourable Gordon Brown *A fascinating book about a vitally important topic - and he writes with such elegance that you don't even notice how much you're learning. Elegant, original and compelling. -- Tim Harford, author of 'Fifty Things That Made The Modern Economy' and 'The Undercover Economist'A superb and sophisticated contribution to the debate over work in the age of artificial intelligence. Susskind approaches the debate with a great command of the evidence and with excellent judgment. He takes on all of the major debates: whether new jobs will replace those that disappear, how the income distribution will be affected, and how individuals are likely to allocate their time in the future between work, leisure, study, and other activities. Never glib, consistently wise and well-informed, this is the book to read to understand how digital technologies and artificial intelligence in particular are reshaping the economy and labor market, and how we will live alongside increasingly smart machines. -- Jeffrey D. Sachs, Professor of Economics at Columbia University, Director of the UN Sustainable Development Solutions NetworkDaniel Susskind has written an important book on an equally important topic: the future of work in an economy driven by the advances in artificial intelligence. His conclusion is that ultimately there will be less work, or at least less paid work. This will shake the foundations of our economy and our society. Our institutions will have to be transformed. It will be a daunting challenge. We have to start thinking hard about it now. -- Martin Wolf * Chief Economics Commentator, 'The Financial Times' *This is the book to read on the future of work in the age of artificial intelligence. It is thoughtful and state-of-the-art on the economics of the issue, but its real strength is the way it goes beyond just the economics. A truly important contribution that deserves widespread consideration. -- Lawrence Summers, former Chief Economist of the World Bank, Treasury Secretary for the Clinton Administration and Director of the National Economic Council for the Obama AdministrationEloquent and humane, A World Without Work moves the debate beyond the illusion that technology always creates more jobs than it destroys and provocatively explores the role of work in human life and what to do when that role evaporates. -- Stuart Russell, author of 'Human Compatible' and Professor of Computer Science at the University of California, BerkeleyFascinating and tightly argued * Sunday Telegraph *

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Book SynopsisThis interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.Trade ReviewThe ethics of AI is a dynamic field, and so anythingwritten on the topic is likely to be out of date by the time it is published. Thanks to the acumen of its editors, however, the Oxford Handbook of Ethics of AI will remain relevant despite these shifting conceptual and methodological sands. * Fabio Tollon, Department of Philosophy, Bielefeld University, Germany, Prometheus *Table of ContentsPart I. Introduction & Overview 1. The Artificial Intelligence of Ethics of AI: An Introductory Overview Joanna Bryson 2. The Ethics of Ethics of AI: Mapping the Field Thomas Powers, Delaware & Jean-Gabriel Ganascia 3. Ethics of AI in Context: Society & Culture Judith Donath Part II. Frameworks & Modes 4. Why Industry Self-regulation Will Not Deliver 'Ethical AI': A Call for Legally Mandated Techniques of 'Human Rights by Design' Karen Yeung, Andrew Howes and Ganna Pogrebna 5. Private Sector AI: Ethics and Incentives Tom Slee 6. Normative Modes: Codes & Standards Paula Boddington 7. Normative Modes: Professional Ethics Urs Gasser Part III. Concepts & Issues 8. Fairness and the Concept of 'Bias' Safiya Umoja Noble 9. Accountability in Computer Systems Joshua Kroll 10. Transparency Nick Diakopoulos 11. Responsibility Virginia Dignum 12. The Concept of Handoff as a Model for Ethical Analysis and Design Helen Nissenbaum & Deirdre Mulligan 13. Race and Gender Timnit Gebru 14. The Future of Work in the Age of AI: Displacement, Augmentation, or Control? Karen Levy & Pegah Moradi 15. The Rights of Artificial Intelligences John Basl and Joseph Bowen 16. The Singularity: Sobering up About Merging with AI Susan Schneider 17. Do Sentient AIs Have Rights? If So, What Kind? Mark Kingwell 18. Autonomy Michael Wheeler 19. Troubleshooting AI and Consent Meg Leta Jones 20. Is Human Judgment Necessary? Norman Spaulding 21. Sexuality John Danaher IV. Perspectives & Approaches 22. Computer Science Benjamin Kuipers 23. Engineering Jason Millar 24. Designing Robots Ethically Without Designing Ethical Robots: A Perspective from Cognitive Science Ron Chrisley 25. Economics Anton Korinek 26. Statistics Martin Wells 27. Automating Origination: Perspectives from the Humanities Avery Slater 28. Philosophy David Gunkel 29. The Complexity of Otherness: Anthropological contributions to robots and AI Kathleen Richardson 30. Calculative Composition: The Ethics of Automating Design Shannon Mattern 31. Global South Chinmayi Arun 32. East Asia Danit Gal 33. Artificial Intelligence and Inequality in the Middle East: The Political Economy of Inclusion Nagla Rizk 34. Europe's struggle to set global AI standards Andrea Renda Part V. Cases & Applications 35. The Ethics of Artificial Intelligence in Transportation Bryant Walker Smith 36. Military Jai Galliott 37. The Ethics of AI in Biomedical Research, Medicine and Public Health Effy Vayena & Alessandro Blasimme 38. Law: Basic Questions Harry Surden 39. Law: Criminal Law Chelsea Barabas 40. Law: Public Law & Policy: Notice, Predictability, and Due Process Kiel Brennan-Marquez 41. Law: Immigration & Refugee Law Petra Molnar 42. Education Elana Zeide 43. Algorithms and the Social Organization of Work Ifeoma Ajunwa 44. Smart City Ethics Ellen Goodman

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Book SynopsisTeaches the machine learning process for business students and professionals using automated machine learning, a new development in data science that requires only a few weeks to learn instead of years of trainingThough the concept of computers learning to solve a problem may still conjure thoughts of futuristic artificial intelligence, the reality is that machine learning algorithms now exist within most major software, including Websites and even word processors. These algorithms are transforming society in the most radical way since the Industrial Revolution, primarily through automating tasks such as deciding which users to advertise to, which machines are likely to break down, and which stock to buy and sell. While this work no longer always requires advanced technical expertise, it is crucial that practitioners and students alike understand the world of machine learning. In this book, Kai R. Larsen and Daniel S. Becker teach the machine learning process using a new development inTable of ContentsPreface Section I: Why Use Automated Machine Learning? Chapter 1: What is Machine Learning? Chapter 2: Automating Machine Learning Section II: Defining Project Objectives Chapter 3: Specify Business Problem Chapter 4: Acquire Subject Matter Expertise Chapter 5: Define Prediction Target Chapter 6: Decide on Unit of Analysis Chapter 7: Success, Risk, and Continuation Section III: Acquire and Integrate Data Chapter 8: Accessing and Storing Data Chapter 9: Data Integration Chapter 10: Data Transformations Chapter 11: Summarization Chapter 12: Data Reduction and Splitting Section IV: Model Data Chapter 13: Startup Processes Chapter 14: Feature Understanding and Selection Chapter 15: Build Candidate Models Chapter 16: Understanding the Process Chapter 17: Evaluate Model Performance Chapter 18: Comparing Model Pairs Chapter 19: Interpret Model Chapter 20: Communicate Model Insights Section VI: Implement, Document, and Maintain Chapter 21: Set Up Prediction System Chapter 22: Document Modeling Process for Reproducibility Chapter 23: Create Model Monitoring and Maintenance Plan Chapter 24: Seven Types of Target Leakage in Machine Learning and an Exercise Chapter 25: Time-Aware Modeling Chapter 26: Time-Series Modeling References Appendix A: Datasets Appendix B: Optimization and Sorting Measures Appendix C: More on Cross Variation

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Book SynopsisMemComputing is a new computing paradigm that employs time non-locality (memory) to both process and store information. This book, written by the originator of this paradigm, explains the main ideas behind MemComputing, explores its theoretical foundations, and shows its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechanics. The book is ideal for graduate students in Physics, Computer Science, Electrical Engineering, and Mathematics, as well as researchers in both academia and industry interested in unconventional computing. The author relies on extensive margin notes, important remarks, and many illustrations to better explain the main concepts and clarify jargon, making the book as self-contained as possible. The reader will be guided from the basic notions to the more advanced ones with an always clear and engaging writing style. Along the way, the reader will appreciate the advantages of this computing paradigm and the major differences that set it apart from the prevailing Turing model of computation, and even quantum computing.Trade ReviewMemcomputing can have a revolutionary impact on the field of computing, and having a book presenting the material with the necessary background is a must to make it better known. * Pierre-Emmanuel Gaillardon, University of Utah *The book is an excellent and brilliant pedagogical introduction to a new paradigm of IT architecture. It contains both introductory and advanced material, offering the reader an overview that is exhaustive and stimulating. * Bernardo Spagnolo, University of Palermo *

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Book SynopsisImagine that Eric, a young man, has been convicted of a gang-related crime: he was found by police at the scene of a robbery carried out by his friends. The sentencing judge now needs to make a decision. Not knowing whether Eric poses a risk to the public, she turns to an algorithmic risk assessment - a set of rules, developed on the basis of correlations between individual characteristics and criminal activity, which predicts the likelihood of recidivism. Eric is a conscientious citizen, who has never before been in trouble with the law. However, he was raised in foster care, in an area with high rates of crime, poverty, and residential instability- facts to which the algorithm attributes a high risk score. The judge recommends a sentence of the maximum possible duration, with extended post-release supervision.Why does this matter? The answer most often given is that it matters because of inequality, captured through the language of ''bias'' or ''discrimination'': the effect of using Table of Contents1: Introduction 2: Relevance 3: Equality 4: Choice 5: Transparency 6: Concluding Remarks

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Book SynopsisSimple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as possessing superhuman powers of reason, limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about fast and frugal heuristics--simple rules for making decisions when time is pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality. But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematicaTrade Review"How do people cope in the real, complex world of confusing and overwhelming information and rapidly approaching deadlines? This important book starts a new quest for answers. Here, Gigerenzer, Todd, and their lively research group show that simple heuristics are powerful tools that do surprisingly well. The field of decision making will never be the same again."--Donald A. Norman, author of Things That Make Us Smart and The Invisible Computer"Gigerenzer & Todd's volume represents a major advance in our understanding of human reasoning, with many genuinely new ideas on how people think and an impressive body of data to back them up. Simple Heuristics is indispensable for cognitive psychologists, economists, and anyone else interested in reason and rationality."--Steven Pinker, author of How the Mind Works and Words and Rules"In the past few years, the theory of rational (sensible) human behavior has broken loose from the illusory and empirically unsupported notion that deciding rationally means maximizing expected utility. Research has learned to take seriously and study empirically how real human beings ... actually address the vast complexities of the world they inhabit. Simple Heuristics ... offers a fascinating introduction to this revolution in cognitive science, striking a great blow for sanity in the approach to human rationality."--Herbert A. Simon, Carnegie Mellon University, and Nobel Laureate in Economics"This book is a major contribution to the theory of bounded rationality. It illustrates that the surprising efficiency of fast and simple procedures is due to their fit with the structure of the environment in which they are used. The emphasis on this ecological rationality is an advance in a promising and already fruitful new direction of research."--Reinhard Selten, Professor of Economics at the University of Bonn, and Nobel Laureate in Economics"In recent years, and particularly in the culture wars, many people have written about rationality. These authors now provide a summary of this recent history, organized on the basis of different types of decision making. In each case, the authors summarize the literature so as to provide an implicit history. But the book is more fundamentally aimed at making rationality workable by showing 'the way that real people make the majority of their inferences and decisions.'"--Journal of the History of the Behavioral SciencesTable of ContentsI. THE RESEARCH AGENDA; II. IGNORANCE-BASED DECISION MAKING; III. ONE-REASON DECISION MAKING; IV. BEYOND CHOICE: MEMORY, ESTIMATION, AND CATEGORIZATION; V. SOCIAL INTELLIGENCE; VI. A LOOK AROUND, A LOOK BACK, A LOOK AHEAD

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Book SynopsisRespect for patient autonomy and data privacy are generally accepted as foundational western bioethical values. Nonetheless, as our society embraces expanding forms of personal and health monitoring, particularly in the context of an aging population and the increasing prevalence of chronic diseases, questions abound about how artificial intelligence (AI) may change the way we define or understand what it means to live a free and healthy life. Who should have access to our health and recreational data and for what purpose? How can we find a balance between users'' physical safety and their autonomy? Should we allow individuals to forgo continuous health monitoring, even if such monitoring may minimize injury risks and confer health and societal benefits? Would being continuously watched by connected devices ironically render patients more isolated and their data more exposed than ever?Drawing on different use cases of AI health monitoring, this book explores the socio-relational contexTrade ReviewAI-enabled home health monitoring, care delivery and health apps are transforming healthcare. Using the lens of relational autonomy theory, Anita Ho carefully assesses both the potential benefits of these technologies and the ethical challenges they raise for users' autonomy. She demonstrates the importance of situating AI health technologies in a wider socio-relational context, and argues that to truly enhance users' autonomy, these technologies should complement, rather than replace the therapeutic relationship. Timely, informative and thoroughly researched, Ho's book makes an important contribution to contemporary debates about AI and healthcare. * Catriona Mackenzie, Philosophy *Anita Ho parts the fog of technological determinism with moral clarity. Her deeply informed analysis explains the structuring power of AI health monitoring, leading to new understanding of what's at stake for all of us. Live Like Nobody Is Watching is essential reading in graduate programs -- including all health sciences. * Clara Berridge, School of Social Work, University of Washington *Table of ContentsAbbreviations Acknowledgments Preface Introduction Chapter 1: Artificial Autonomy or Relational Intelligence: How Relationality Matters in Health Monitoring Chapter 2: Independent Living With(out) Privacy: AI Home Health Monitoring Chapter 3: Artificial Doctoring: The Case of Direct-to-Consumer Health Monitoring Chapter 4: A Digital Pill to Swallow: AI Monitoring for Medication Adherence and Therapeutic Relationship Chapter 5: From One-Way Mirror to Two-Way Street: Realigning Goals and Practices of AI Health Monitoring Prologue Bibliography Index

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