Artificial intelligence (AI) Books

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Book SynopsisAlan Turing, pioneer of computing and WWII codebreaker, is one of the most important and influential thinkers of the twentieth century. In this volume for the first time his key writings are made available to a broad, non-specialist readership. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, artificial intelligence, and artificial life all spring from this ground-breaking work, which is also rich in philosophical and logical insight. An introduction by leading Turing expert Jack Copeland provides the background and guides the reader through the selection. About Alan TuringAlan Turing FRS OBE, (1912-1954) studied mathematics at King''s College, Cambridge. He was elected a Fellow of King''s in March 1935, at the age of only 22. In the same year he invented the abstract computing machines - now known simply as Turing machines - on which all subsequent stored-program digital computers are modelTrade ReviewThe editor not only presents the Turing seminal papers and ingenious contributions to fields he was far ahead his time, he also gives easy access for non-specialists by his comprehensive introductions and comments. * Volker Peckhaus, Zentralblatt MATH 1076 *Table of ContentsAlan Turing 1912-1954 ; Computable Numbers: A Guide ; 1. On Computable Numbers, with an Application to the Entscheidensproblem (1936) ; 2. On Computable Numbers: Corrections and Critiques ; 3. Systems of Logic Based on Ordinals (1938) ; 4. Letters on Logic to Max Newman (c. 1940) ; Enigma ; 5. History of Hut 8 to December 1941 (1845) ; 6. Bombe and Spider (1940) ; 7. Letter to Winston Churchill (1941) ; 8. Memorandum to OP-20-G on Naval Enigma (c. 1941) ; Artificial Intelligence ; 9. Lecture on the Automatic Computing Machine (1947) ; 10. Intelligent Machinery (1948) ; 11. Computing Machinery and Intelligence (1950) ; 12. Intelligent Machinery, A Heretical Theory (c. 1951) ; 13. Can Digital Computers Think? ; 14. Can Automatic Calculating Machines Be Said to Think? (1952) ; Artificial Life ; 15. The Chemical Basis of Morphogenesis (1952) ; 16. Chess (1953) ; 17. Solvable and Unsolvable Problems (1954)

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Book SynopsisProvides authoritative exposition, comprehensive survey, and fundamental research exploring the underlying unifying themes in the various areas of application of logic in artificial intelligence and computer science. The book assumes as background some mathematical sophistication.Trade ReviewReview of the first three volumes: `.. an essential acquisition for any library covering theoretical computer science and highly desirable for any researcher in the field.' Times Higher Education SupplementReview of the first three volumes: `... the first three volumes... represent a detailed and comprehensive exposition of the theoretical and computational features of a wide variety of classical and non-classical logics.' `... can be unreservedly recommended to AI practitioners with proficiency in logic and commitment to its role in the development of AI systems.' The Computer JournalTable of ContentsList of contributors ; 1.1 The role(s) of logic in artificial intelligence ; 1.2 First order logic ; 1.3 Methods and calculi for deduction ; 1.4 Deduction systems based on resolution ; 1.5 Equational reasoning and term rewriting systems ; 1.6 Basic modal logic ; 1.7 Logical features of Horn clauses ; Author index ; Subject index

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Book SynopsisTechniques for reasoning about actions an change in the physical world is one of the classical research topics in artificial intelligence. It is motivated by the needs of autonomous robots which must be able to anticipate their immediate future, to plan their future actions, and to figure out what went wrong in case of problems. It is also motivated by the needs of common-sense reasoning for example in the understanding of natural language texts, where processes and change over time is an ever-present phenomenon. The same set of problems arises in several other areas of computing such as in conceptual modelling for data bases, and in the rapidly growing area of intelligent control.The present research monograph presents and uses a novel methodology for reasoning about actions and change. Traditional research contributions have proposed new logic variants which were only supported by episodical examples. THe work described here uses a systematic methodology for identifying the exact ranTrade ReviewThe book presents deep and serious insight into inert and inhabited dynamical systems (IDS). * Zentralblatt fur Mathematik *Those working in nonmonotonic reasoning, planning, temporal logic, reasoning about actions and change, and related areas will find this book worth reading. * Computing Reviews *Table of ContentsInert and inhabited dynamical systems ; Inference operations on scenario descriptions ; Underlying semantics for IDS worlds ; Elementary feature logic and meta-logical concepts ; Lexical-domain object-feature logic ; Temporal feature logic for discrete time domains ; Chronicle completion in k-IA ; Intended models for chronicles in k-IA ; Entailment methods for k-IA using DFL-1 ; Duration constraints ; Entailment methods for k-OA using occlusion ; Composite actions ; Upper applicability bounds and assessment of soundness ; Future directions ; Terms index ; Notation ; References to related work

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Book SynopsisA concise, accessible introduction to robots, what they can do, what they can''t, and what their increasing encroachment into our lives might mean for us Since the turn of the millennium a quiet revolution has been underway. Millions of autonomous robots with some level of intelligence are now in domestic use, mainly as vacuum cleaners. Driverless cars - which are nothing less than autonomous robots - are starting to appear on our streets. There is a huge effort underway in industry and universities to develop the next generation of more intelligent, autonomous, mobile robots. Accompanying these arrivals has been a steady stream of inflammatory articles in the media raising concerns over the impending spectre of super-intelligent robots, along with stories about how most jobs will soon be lost to robots.Here, using the Question-and-Answer format, Phil Husbands gives a balanced and broad introduction to robotics and the current state of the field, analysing where it has come from, and wTrade ReviewThe book is accessible, and readers can expect to learn much from it. Husbands has given us a historically informed introduction to robotics, rooted in technological reality and dismissing futuristic hype. * Simon Balle, Metascience *the book is accessible, and readers can expect to learn much from it. Husbands has given us a historically informed introduction to robotics, rooted in technological reality and dismissing futuristic hype. * Simon Balle, Metascience *Table of ContentsPreface 1: Robots are Here 2: The Basics 3: Some History 4: Inside the Machine 5: Robot Fantasies: Robots in Popular Culture 6: Intelligence, Super-Intelligence and Cyborgs 7: Robots at Work 8: Robot Ethics 9: Robot Futures

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Book SynopsisIn Robots We Trust explores the evolving relationship between humans and intelligent machines, focusing on the critical issue of trust. As robots become more integrated into our daily lives-from self-driving cars to delivery drones-our society faces two critical questions: can we trust them, and can they trust us?

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Book SynopsisApocalyptic AI, the hope that we might one day upload our minds into machines or cyberspace and live forever, is a surprisingly wide-spread and influential idea, affecting everything from the world view of online gamers to government research funding and philosophical thought. In Apocalyptic AI, Robert Geraci offers the first serious account of this cyber-theology and the people who promote it.Drawing on interviews with roboticists and AI researchers and with devotees of the online game Second Life, among others, Geraci illuminates the ideas of such advocates of Apocalyptic AI as Hans Moravec and Ray Kurzweil. He reveals that the rhetoric of Apocalyptic AI is strikingly similar to that of the apocalyptic traditions of Judaism and Christianity. In both systems, the believer is trapped in a dualistic universe and expects a resolution in which he or she will be translated to a transcendent new world and live forever in a glorified new body. Equally important, Geraci shows how this worldviTrade ReviewScholars interested in the intersection of popular science and religion will likely find Geraci's work helpful. Portions of the book, especially the chapter on virtual reality and video games, would also be appropriate for the undergraduate classroom. * Journal of Religion and Popular Culture *Robert Geraci's thoughtful examination of technology-based quests for transcendence offers a serious look at apocalyptic scenarios that, while remaining for now in the realm of science fiction, nonetheless claim significant cultural influence. I don't know when we will see robots with human-like intelligence, but our longing for them, and what that says about us, is what Geraci's book helps us understand. * David S. Touretzky, Research Professor of Computer Science, Carnegie Mellon University *Table of ContentsAcknowledgments ; Introduction ; Chapter 1. Apocalyptic AI ; Chapter 2. Laboratory Apocalypse ; Chapter 3. Transcending Reality ; Chapter 4. "Immaterial" Impact of the Apocalypse ; Chapter 5. The Integration of Religion, Science, and Technology ; Appendix One ; Appendix Two ; Notes ; References ; Index

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Book SynopsisExplores how the impact of code on life has become comparable to that of speech and writing: as language and code have grown entangled, the lines that once separated humans from machines, analog from digital, and old technologies from new ones have become blurred. The book gives us the tools necessary to make sense of these complex relationships.Trade Review"A deeply insightful and significant investigation of how the science and rhetorics of cybernetics have reshaped the boundaries of human identity." - Village Voice "In her important new book, N. Katherine Hayles... traces the evolution over the last half-century of a radical reconception of what it means to be human and, indeed, even of what it means to be alive, a reconception unleashed by the interplay of humans and intelligent machines." - Chicago Tribune"

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Book SynopsisSince antiquity, philosophers and engineers have tried to take life's measure by reproducing it. This title collects seventeen essays from distinguished scholars in several fields. It is intended for historians and philosophers of science and technology, scientists and engineers working in artificial life and intelligence, and others.

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Book SynopsisWill the use of artificial intelligence, algorithms, and smart machines be the end of journalism as we know itor its savior? Francesco Marconi, who has led the development of the Associated Press and Wall Street Journal's use of AI in journalism, offers a new perspective on the potential of these technologies.Trade ReviewFrancesco Marconi has it right. Artificial intelligence will augment—not automate—the news industry. Human judgment will be enhanced, not replaced. When you finish this book you do not fear the AI future in newsrooms. You have the tools to wonder what we will soon be able to do. -- Jay Rosen, New York UniversityOne part history, one part management strategy, and one part vision, Newsmakers provides readers with a detailed roadmap of how journalism workflows and content will change through the AI inspired process of iterative journalism. The result will be coverage that adjusts to readers’ information needs in real-time and increases the scale and scope of reporting. -- Jay Hamilton, Stanford UniversityIf you are a newsmaker or anyone interested in the future of journalism then this book is the perfect guide. Marconi is at the cutting edge of using AI technologies in the newsroom and one of the most intelligent strategic analysts of how they can help journalism survive and thrive in our radically changing digital media age. From news gathering to connecting to audiences he shows the plethora of opportunities and challenges presented by this complex set of tools and systems. If you are excited by or fearful of the prospect of the 'robot' age of news, this book will give you the facts and ideas to grapple with this rapidly evolving field. -- Charlie Beckett, London School of EconomicsNewsmakers explores human-machine collaboration in the future of news. Marconi offers a practical perspective of how journalists can be directly involved in training, testing and deploying algorithms. A valuable guide for journalists who want to stay in the drivers’ seat of making news and leverage emerging AI-powered tools to unlock new storytelling opportunities. -- Deb Roy, Massachusetts Institute of TechnologyMarconi’s book will help journalists start thinking about some of the exciting ways AI can improve and streamline their work and how to implement these new technologies in the newsroom. If we are going to create a sustainable future for journalism, this is exactly what we need to be thinking about: putting audience needs and rapid iteration at the center of everything we do. -- Carrie Brown, City University of New YorkIn an era when machine learning is being applied to optimize decisions in countless other industries, Newsmakers examines the richness and complexity of using these tools to make dynamic, personalized, and impactful choices about the stories we offer our readers. For Marconi, it is not journalism automated by computation, but rather journalism augmented. Machine learning changes the ways a reporter sees the world around her, pieces a story together, and builds an audience in a complex information ecosystem. Newsmakers presents a view of journalism that is explicitly iterative, experimental and collaborative. -- Mark Hansen, Columbia UniversityA must read for all journalists and media scholars, this book provides a clear pathway for understanding AI in the newsmaking process. * Journalism and Mass Communication Quarterly *Table of ContentsPrefaceWhat Is This Book About, According to AI? Introduction: Technology Moves Faster Than Journalistic Standards1. The Problem: A Journalistic Model in Transition2. Enablers: The AI Technologies Driving Journalistic Change3. Workflow: A Scalable Process for Newsroom TransformationConclusionAcknowledgmentsNotesBibliographyIndex

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Book Synopsis''A terrific book - essential reading for everyone seeking to make sense of Artificial Intelligence'' Professor Sir Adrian Smith, Director and Chief Executive of the Alan Turing InstituteIn this myth-busting guide to AI past and present, one of the world''s leading researchers shows why our fears for the future are misplaced.The ultimate dream of AI is to build machines that are like us: conscious and self-aware. While this remains a remote possibility, rapid progress in AI is already transforming our world. Yet the public debate is still largely centred on unlikely prospects, from sentient machines to dystopian robot takeovers.In this lively and clear-headed guide, Michael Wooldridge challenges the prevailing narrative, revealing how the hype distracts us from both the more immediate risks that this technology poses - from algorithmic bias to fake news - and the true life-changing potential of the field. The Road to Conscious Machines elucidates the discoveries of AI''s greatest pioneers from Alan Turing to Demis Hassabis, and what today''s researchers actually think and do.''Nobody understands the past, the present, the promise and the peril of this new technology better than Michael Wooldridge. The definitive account'' Matt Ridley, author of The Rational Optimist''Effortlessly readable. The perfect guide to the history and future of AI'' Tom Chivers, author of The AI Does Not Hate YouTrade ReviewA terrific book - essential reading for everyone seeking to make sense of Artificial Intelligence. Wooldridge provides a clear-sighted and entertaining account of both the technical development of AI and the social and ethical issues arising from its increasing deployment. -- Professor Sir Adrian Smith, Director and Chief Executive of The Alan Turing InstituteTakes us expertly by the hand through the labyrinth of Artificial Intelligence. A penetrating and lucid contribution to our digital understanding, which dispels many of the myths surrounding AI. Authoritative but accessible and highly readable. * Lord Clement-Jones CBE, Chair of the House of Lords Select Committee on Artificial Intelligence 2017–2018 *Calm, informative and refreshingly free of hype, Wooldridge's effortlessly readable book is the perfect guide to the history and future of AI. -- Tom Chivers, science writer and author of 'The AI Does Not Hate You'In the long and often frustrating quest for artificial intelligence, something spectacular has happened in the past decade. Nobody understands the past, the present, the promise and the peril of this new technology better than Michael Wooldridge. He has written the definitive account of the new AI. -- Lord Matt Ridley, author of 'The Rational Optimist' and 'The Evolution of Everything'The buzz around AI has unearthed many questions and in The Road to Conscious Machines you get answers. -- Tabitha Goldstaub, co-founder of CognitionX and Chair of the UK Government's AI CouncilIn an age when AI is promoted as either the greatest threat or best hope for humanity, Wooldridge gives us a text that is accessible and authoritative. A balanced and informed view of the decades-long history of AI, its methods and techniques, achievements and shortfalls. -- Professor Sir Nigel Shadbolt, Professorial Research Fellow in Computer Science and Principal of Jesus College, OxfordIn this diligent and reassuring explanation of the immense difficulty of recreating intelligence in a machine, Michael Wooldridge succeeds not only in writing an engaging history of AI, but in telling us about the fabulously complicated structures on which our own consciousness rests -- Will Dunn * New Statesman *

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Book SynopsisThe incredible and inspiring book behind the primetime Channel 4 documentary, Peter: The Human Cyborg''Peter''s story is one of the most extraordinary you will ever hear. Remarkable. I urge people to read it'' Stephen Fry''With candour and bravery, Peter tells how he explored new frontiers of science to give himself a chance of survival in a digital afterlife'' Daily Mail__________Peter didn''t choose to live forever. He simply chose not to die.Diagnosed with a rare but terminal Motor Neuron Disease, brilliant scientist Peter Scott-Morgan refused to accept that within a few short years he''d be dead.Instead, he embarked on a dangerous journey - to cross the border between mortality and immortality. He would meld his humanity with the latest computer and robotic technology to become Peter 2.0.This is the astonishing story of a man uniquely placed to pursue a new way of lifeTrade ReviewCompelling . . . Scott-Morgan is a true one-off. It is in the telling of the love story, rather than the technical details of becoming a cyborg, that this book succeeds * The Times *With candour and bravery, Peter tells how he explored new frontiers of science to give himself a chance of survival in a digital afterlife * Daily Mail *Peter's story is one of the most extraordinary you will ever hear . . . Remarkable. I urge people to read it -- Stephen FryA remarkable account of what it means to be human and what technology can really achieve * Sunday Telegraph *A remarkable story . . . you're left desperate to take nothing for granted * Radio Times *Astonishing * Daily Mail *What's striking is Peter's constant optimism, bravery and his ability to find radical answers to problems that have confounded Britain's brightest minds * Daily Telegraph *Life-affirming . . . The most extraordinary thing about scientist Dr Peter Scott-Morgan, aside from his optimism, is his relentless capacity for joy * Daily Mail *A soaring love story * Financial Times *Fascinating and extremely moving * Sun *Breathtaking . . . We were mesmerised by the boundless creative intelligence, positivity and love that pours from these pages. Profoundly inspiring * Attitude *The astonishing true story behind the primetime Channel 4 documentary about Peter Scott-Morgan, the first person to combine his very humanity with artificial intelligence and robotics to become a full cyborg. His discovery means that his terminal diagnosis is negotiable, something that will rewrite the future - and change the world * GQ *

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Book SynopsisA balanced and thought-provoking guide to all the big questions about AI and ethics Can computers understand morality? Can they respect privacy? And what can we do to make AI safe and fair? The artificial intelligence revolution has begun. Today, there are self-driving cars on our streets, autonomous weapons in our armies, robot surgeons in our hospitals and AI''s presence in our lives will only increase. Some see this as the dawn of a new era in innovation and ease; others are alarmed by its destructive potential. But one thing is clear: this is a technology like no other, one that raises profound questions about the very definitions of human intelligence and morality. In Moral AI, world-renowned researchers in moral psychology, philosophy, and artificial intelligence Jana Schaich Borg, Walter Sinnott-Armstrong and Vincent Conitzer tackle these thorny issues head-on. Writing lucidly and calmly, they lay out the recent advances in this still nascent field, peeling away the exaggeration and misleading arguments. Instead, they offer clear examinations of the moral concerns at the heart of AI programs, from racial equity to personal privacy, fake news to autonomous weaponry. Ultimately, they argue that artificial intelligence can be built and used safely and ethically, but that its potential cannot be achieved without careful reflection on the values we wish to imbue it with. This is an essential primer for any thinking person.Trade ReviewA philosopher, data scientist and computer scientist tackle the key ethical challenges of AI: safety, privacy, fairness, responsibility and how to inject human morality into AI. Practical and peppered with lively examples. This is a must-have as AI fundamentally changes all of our lives. Balanced, thoughtful and engaging -- Julian SavulescuCan we build and use AI ethically? I believe this book gives the best answer to this question: yes, but it is up to us, so we all have to make an effort. If you want to understand the impact of AI on our lives, and how to make it a positive one, you need to read it -- Francesca RossiTaking on the challenge of AI calls for perspectives grounded in multiple areas of expertise, and that is what Moral AI provides. . . A judicious and deeply-informed guide -- Peter RailtonMoral AI is a gracefully written and balanced book which should be required reading for all humans and generations of ChatGPTs. Written by an exceptional interdisciplinary team, it eschews hyperbole and brings what the Greeks would call phronesis - or practical wisdom - to the modern challenge of artificial intelligence -- Joseph J. FinsThe authors blend their expertise from diverse fields to provide fresh insights and feasible suggestions for balancing AI advancement with ethical considerations. The book is a timely and significant contribution, particularly relevant now. It serves as a guiding light, both for those who are getting started on the journey, and for those who are looking for a fresh perspective -- Abhishek Gupta

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Book SynopsisThe Most Human Human by Brian Christian is a mind-blowing piece of reportage that will appeal to readers of Jon Ronson''s The Psychopath Test, and an inspiring riposte to John Gray''s classic Straw Dogs - a book that will change your whole understanding of what being human actually means...AI is on the brink of a new dawn. And so are we. . .Telling the difference between humans and computers used to be easy. But artificial intelligence is now so advanced that it is capable of behaving, and even thinking, in ways that have long been considered exclusive to humankind. The time has come to rethink what being human actually means...In The Most Human Human Brian Christian meets the world''s leading artificial intelligences, finds out what they''re capable of - and what makes us unique. The result is a funny, shocking, inspiring, deeply humane and intelligent book that reaches into every aspect of our lives.''Tremendously entertaining'' ****Metro''Excellent ... a fascinating explanation of what it means to be human''Financial Times''Remarkable. A philosophical joyride. The day that a machine creates work of such wit and originality, we should all be very worried''The Times''An epic tour of philosophical, linguistic and scientific discovery. We stop off in places as far-flung as existential anxiety, predictive text and Gary Kasparov''s defeat by Deep Blue'' ****Time Out''Lively, thought-stirring, entertaining, invaluable ... compelling insights''John Gray, New StatesmanAt the age of twenty-six, Brian Christian has lectured at the LSE, Royal Academy, Bristol Festival of Ideas, Microsoft and Google, been interviewed on The Daily Show, BBC and in the Paris Review, profiled in the Guardian, featured in The New York Times, the New Yorker and on the front cover of Atlantic, and has made numerous appearances at universities and in online videos speaking on his subject. He holds a dual degree from Brown University in computer science and philosophy, and an MFA in poetry.Trade ReviewTremendously entertaining **** * Metro *Excellent ... a fascinating explanation of what it means to be human * Financial Times *Remarkable. A philosophical joyride. The day that a machine creates work of such wit and originality, we should all be very worried * The Times *An epic tour of philosophical, linguistic and scientific discovery. We stop off in places as far-flung as existential anxiety, predictive text and Gary Kasparov's defeat by Deep Blue. A lively, personable read and an overpowering affirmation of our species **** * Time Out *Lively, thought-stirring, entertaining, invaluable ... compelling insights -- John Gray * New Statesman *Dense with ideas, terrific. One of the rare successful literary offspring of Gödel, Escher, Bach, where art and science meet an engaged mind and the friction produces real fire * New Yorker *Fast-paced, witty, and thoroughly winning ... investigates the nature of human interactions, the meaning of language, and the essence of what sets us apart from machines ... fabulous * Publishers Weekly *An irreverent picaresque ... What Christian learns along the way is that if machines win the imitation game as often as they do, it's not because they're getting better at acting human; it's because we're getting worse ... An authentic son of Frost, he learns by going where he has to go, and in doing so proves that both he and his book deserve their title * The New York Times *Immensely ambitious and bold, intellectually provocative, while at the same time entertaining and witty - a delightful book about how to live a meaningful, thriving life -- Alan Lightman, author of Einstein's DreamsSuch an important book ... Brian Christian takes on this very weighty task, and somehow makes it fun -- Brian Shenk, author of The Genius in all of UsAn eye-opening inquest into human imagination, thought, conversation, love and deception * David Eagleman, author of Sum *Absorbing ... Christian cleverly suggests that the Turing Test not only tells us how smart computers are but also teaches us about ourselves. ... covers a great deal of ground with admirable clarity but with a lightness of touch ... has a real knack for summing up key ideas by applying them to real-life situations -- Julian Baggini * Wall Street Journal *Strange, fertile and sometimes beautiful ... takes both the deep limitations and halting progress of artificial intelligence as an occasion for thinking about the most human activity -- Matthew Crawford, author of The Case for Working with Your HandsEntertaining and informative * Economist *

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Book SynopsisA concise introduction to a complex field, bringing together recent work in cognitive science and cognitive robotics to offer a solid grounding on key issues.This book offers a concise and accessible introduction to the emerging field of artificial cognitive systems. Cognition, both natural and artificial, is about anticipating the need for action and developing the capacity to predict the outcome of those actions. Drawing on artificial intelligence, developmental psychology, and cognitive neuroscience, the field of artificial cognitive systems has as its ultimate goal the creation of computer-based systems that can interact with humans and serve society in a variety of ways. This primer brings together recent work in cognitive science and cognitive robotics to offer readers a solid grounding on key issues.The book first develops a working definition of cognitive systems—broad enough to encompass multiple views of the subject and deep enough to help in the formul

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Book SynopsisFor fans of computers and comedy alike, an accessible and entertaining look into how we can use artificial intelligence to make smart machines funny.Most robots and smart devices are not known for their joke-telling abilities. And yet, as computer scientist Tony Veale explains in Your Wit Is My Command, machines are not inherently unfunny; they are just programmed that way. By examining the mechanisms of humor and jokes--how jokes actually works--Veale shows that computers can be built with a sense of humor, capable not only of producing a joke but also of appreciating one. Along the way, he explores the humor-generating capacities of fictional robots ranging from B-9 in Lost in Space to TARS in Interstellar, maps out possible scenarios for developing witty robots, and investigates such aspects of humor as puns, sarcasm, and offensiveness. In order for robots to be funny, Veale explains, we need to analyze humor computationally. Using artific

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Book SynopsisA proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication. To do this, we need a concept of communication that can take in

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Book SynopsisHow we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise.It’s sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what’s happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems.  Using the

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Book SynopsisAn in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions.  The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload chara

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Book SynopsisHow to stay in charge in a world populated by algorithms that beat us in chess, find us romantic partners, and tell us to “turn right in 500 yards.”Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all seem to agree: machines will soon do everything better than humans. In How to Stay Smart in a Smart World, Gerd Gigerenzer shows why that’s not true, and tells us how we can stay in charge in a world populated by algorithms.Machines powered by artificial intelligence are good at some things (playing chess), but not others (life-and-death decisions, or anything involving uncertainty). Gigerenzer explains why algorithms often fail at finding us romantic part

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Book SynopsisAn expert offers a guide to where we should use artificial intelligence—and where we should not.Before we know it, artificial intelligence (AI) will work its way into every corner of our lives, making decisions about, with, and for us. Is this a good thing? There’s a tendency to think that machines can be more “objective” than humans—can make better decisions about job applicants, for example, or risk assessments. In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI’s supposedly objective decision making. She presents the good and the bad: AI is good at processing vast quantities of data that humans cannot—but it’s bad at making judgments about people.            AI is accurate at sifting through billions of websites to offer up the best results for ou

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Book SynopsisAn authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics. Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion models Short, focused chapters progress in complexity, easing students into difficult concepts  Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of models Streamlined presentation separates critical ideas from background context and extraneous detail Minimal mathematical prerequisites, extensive illustrations, and practice problems make challenging material widely accessible  Programming exercises offered in accompanying Python Notebooks 

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Book SynopsisFrom the pioneer of translation AIs like Google, Yahoo, and Bing translate, an accessible and authoritative guide to AI?as well as a framework of empowerment for a future with our artificial children.In a world where AI will change everything, we need a leader to illuminate the impact of ?the automation of thought? on our way of life. How is the widespread use of AI impacting our world, our minds, and our future?not just as a technical innovation but as a mode of culture? Should we be afraid?De Kai has been a trailblazer in the world of AI. He invented and built the world?s first global-scale online language translator that spawned Google Translate, Yahoo Translate, and Microsoft Bing Translator. He brings decades of his paradigm-shifting work at the nexus of artificial intelligence and society to help audiences make sense of our interactions with AI at both personal and collective levels?ethically and responsibly. While Hollywood narratives of AI destroying humanity may be overblown, the age of AI is reshaping the future of civilization. What should each of us do as the responsible adults in the room? De Kai asks critical, overlooked questions requiring urgent attention.Written for the general reader, as well as thought leaders, scientists, parents, and academics, Raising AI gives us an accessible framework to navigate the enormous impact of AI upon human culture, our values, and the flow of information. De Kai shows us that society can not only survive the AI revolution but also flourish in a new world where we all play our part in a more humane, compassionate, and understanding society?alongside our artificial children.

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Book SynopsisSix classic science fiction stories and commentary that illustrate and explain key algorithms or principles of artificial intelligence.This book presents six classic science fiction stories and commentary that illustrate and explain key algorithms or principles of artificial intelligence. Even though all the stories were originally published before 1973, they help readers grapple with two questions that stir debate even today: how are intelligent robots programmed? and what are the limits of autonomous robots? The stories—by Isaac Asimov, Vernor Vinge, Brian Aldiss, and Philip K. Dick—cover telepresence, behavior-based robotics, deliberation, testing, human-robot interaction, the “uncanny valley,” natural language understanding, machine learning, and ethics. Each story is preceded by an introductory note, “As You Read the Story,” and followed by a discussion of its implications, “After You Have Read the Story.” Together with the

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Book SynopsisAn accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant.Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants.Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech reco

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Book SynopsisProvocative, hopeful essays imagine a future that is not reduced to algorithms.What is human flourishing in an age of machine intelligence, when many claim that the world’s most complex problems can be reduced to narrow technical questions? Does more computing make us more intelligent, or simply more computationally powerful? We need not always resist reduction; our ability to simplify helps us interpret complicated situations. The trick is to know when and how to do so. Against Reduction offers a collection of provocative and illuminating essays that consider different ways of recognizing and addressing the reduction in our approach to artificial intelligence, and ultimately to ourselves.Inspired by a widely read manifesto by Joi Ito that called for embracing the diversity and irreducibility of the world, these essays offer persuasive and compelling variations on resisting reduction. Among other things, the writers draw on indigenous epistemology to

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Book SynopsisHow to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems.  Data is now central to the economy, government, and health systems—so why are data and the AI systems that interpret the data in the hands of so few people? Building the New Economy calls for us to reinvent the ways that data and artificial intelligence are used in civic and government systems. Arguing that we need to think about data as a new type of capital, the authors show that the use of data trusts and distributed ledgers can empower people and communities with user-centric data ownership, transparent and accountable algorithms, machine learning fairness principles and methodologies, and secure digital transaction systems.   It’s well known that social media generate disinformation and that mobile phone tracking apps threaten privacy. But these same technologies m

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Book SynopsisHow we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise.It’s sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what’s happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems.Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.

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Book SynopsisAn expert on mind considers how animals and smart machines measure up to human intelligence.Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts, Paul Thagard looks at how computers (bots) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans.Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines--including Watson, AlphaZero, virtual assistants, and self-driving cars--and the most intelligent animals--including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a

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Book SynopsisAn insightful, engaging tour by a noted Silicon Valley insider of how accelerating developments in Artificial Intelligence will transform the way we live and workSelected as one of the 10 best science and technology books of 2015 by The Economist After billions of dollars and fifty years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure but as Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. He proposes innovative, free-market adjustments to our economic system and social policies to aTrade Review"Glimmers with originality and verve. . . . Others have raised these issues but Mr. Kaplan is unique in devising solutions."—Economist"A reminder that AI systems don’t need red laser eyes to be dangerous."—John Gilbey, Times Higher Education Supplement"Kaplan also sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs."—Emma Jacobs, Financial Times"Well worth reading, especially by anybody who wants to go painlessly from a standing start to a pretty thorough grounding in a debate that’s only going to intensify in the years ahead."—James Walton, The Guardian"An intriguing, insightful and well-written look at how modern artificial intelligence, powering algorithms and robots, threatens jobs and may increase wealth inequalities, by a Silicon Valley entrepreneur and AI expert."—The Economist, "Books of the Year""Kaplan gives a fascinating insight into this world we are moving into . . . reveals, in an informative and engaging way, the issues we need to be aware of in this fascinating area of technological advancement."—Jonathan Stevens, Legal Practice Management"Artificial intelligence will transform how we live and work. But how we use AI is up to us. We are lucky to have as gifted and experienced a thinker as Jerry Kaplan to guide us as we navigate through this new age."—John Doerr, Partner at Kleiner Perkins Caufield & Byers"Soon, Jerry Kaplan suggests from his perch at Stanford’s AI Lab, 'synthetic intellects' and 'forged laborers' are going to start changing the world in unpredictable ways. How can we make sure the benefits they deliver are broadly distributed? In this candid and informed take on the coming AI revolution—and how we might mitigate its problematic aspects—Jerry will have you thinking long into the night about a future that’s just around the corner."—Reid Hoffman, co-founder/chairman of LinkedIn and co-author of the #1 NYT bestseller The Alliance: Managing Talent in the Networked Age"In a world where the popular perception of Artificial Intelligence is often driven by Hollywood fiction, it's refreshing to read such a realistic and insightful analysis to help inform public discourse about this important technology.”—Ron Moore, producer and screenwriter for Star Trek and Battlestar Galactica"AI is creating enormous wealth, but there's no economic law that everyone will share in this bounty. As Jerry Kaplan masterfully explains, the great challenge is to harness these new technologies to deliver shared prosperity."—Erik Brynjolfsson, co-author of The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies"A compelling, prophetic, and timely book from a leading technology thinker, Humans Need Not Apply is a must-read for entrepreneurs, scientists, policymakers, and anyone concerned about the promise and peril of artificially intelligent machines."—Fei-Fei Li, Director, Stanford Artificial Intelligence Lab

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Book SynopsisThe Basic Account.- Language and Cognition: Constructing an Alternative Approach Within the Behavioral Tradition.- Derived Relational Responding as Learned Behavior.- Multiple Stimulus Relations and the Transformation of Stimulus Functions.- Relations among Relations: Analogies, Metaphors, and Stories.- Thinking, Problem-solving, and Pragmatic Verbal Analysis.- Understanding and Verbal Regulation.- Self and Self-directed Rules.- Relational Frame Theory: A Précis.- Extensions and Applications.- Psychological Development.- Education.- Social Processes.- Psychopathology and Psychotherapy.- Religion, Spirituality, and Transcendence.Trade Review"A remarkably brilliant book that integrates some of the main theories of radical behaviorism with cognitive behavioral theories and practices of psychotherapy. This book gives more plausible explanations of why people behave the way that they do, and particularly why they are frequently dysfunctional, than any other I can think of." (Albert Ellis, Albert Ellis Institute, New York) "[An] exciting and innovative book. It indicates that a behavioural account can shed light on many more of the complexities of language and cognition than had previously been supposed... it is abundantly clear from this book that the behavioural approach is alive and kicking, and full of vitality." (W. Eysenck, Royal Holloway University of London) "This is a truly remarkable book... If Chomsky had seen this work 40 years ago, the history of psychology could have been very different." (Paul M. Smeets, Leiden University, The Netherlands) "The book is certainly a tour de force and clearly merits a much wider readership among those interested in empirical and theoretical issues in language and cognition." (Contemporary Psychology, APA Review of Books, 48:4 (2003) Table of ContentsPart I: The Basic Account. 1. Language and Cognition: Constructing an Alternative Approach Within the Behavioral Tradition; S.C. Hayes, et al. 2. Derived Relational Responding as Learned Behavior; S.C. Hayes, et al. 3. Multiple Stimulus Relations and the Transformation of Stimulus Functions; D. Barnes-Holmes, et al. 4. Relations Among Relations: Analogies, Metaphors, and Stories; I. Stewart, et al. 5. Thinking, Problem-Solving, and Pragmatic Verbal Analysis; S.C. Hayes, et al. 6. Understanding and Verbal Regulation; D. Barnes-Holmes, et al. 7. Self and Self-Directed Rules; D. Barnes-Holmes, et al. 8. Relational Frame Theory: A Précis; S.C. Hayes, et al. Part II: Extensions and Applications. 9. Psychological Development; Y. Barnes-Holmes, et al. 10. Education; Y. Barnes-Holmes, et al. 11. Social Processes; B. Roche, et al. 12. Psychopathology and Psychotherapy; K.G. Wilson, et al. 13. Religion, Spirituality, and Transcendence; D. Barnes-Holmes, et al. Epilogue. References. Index.

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book SynopsisThe field of artificial intelligence (AI) has grown dramatically in recent decades from niche expert systems to the current myriad of deep machine learning applications that include personal assistants, natural-language interfaces, and medical, financial, and traffic management systems. This boom in AI engineering masks the fact that all current AI systems are based on two fundamental ideas: mathematics (logic and statistics, from the 19th century), and a grossly simplified understanding of biology (mainly neurons, as understood in 1943). This book explores other fundamental ideas that have the potential to make AI more anthropomorphic. Most books on AI are technical and do not consider the humanities. Most books in the humanities treat technology in a similar manner. AI and Human Thought and Emotion, however is about AI, how academics, researchers, scientists, and practitioners came to think about AI the way they do, and how they can think about it afresh with a humanTable of Contents0. Introduction. PART I. Intelligence in Computers, Humans and Societies. 1. Artificial Intelligence as It Stands. 2. Current Critiques of Artificial Intelligence. 3. Human Thinking: Anxiety and Pretence. 4. Prevailing Prejudices Pertaining to Artificial Intelligence. PART II. An Alternative: AI, Subjectivity and Introspection. 5. Central Argument Outline. Main Term: "Anthropic AI." 7. Main Term: "Introspection." 8. Introspection is Ligitimate. 9. Introspection is Likely to Be Profitable. PART III Getting Practical. 10. Details and How to Use Introspection for Artificial Intelligence. 11. Examples. 12. A More Sophisticated Example. 13. Summary, Consequences, Conclusion.

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