Artificial intelligence (AI) Books

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 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 SynopsisFor many decades, the proponents of `artificial intelligence'' have maintained that computers will soon be able to do everything that a human can do. In his bestselling work of popular science, Sir Roger Penrose takes us on a fascinating tour through the basic principles of physics, cosmology, mathematics, and philosophy to show that human thinking can never be emulated by a machine.Oxford Landmark Science books are ''must-read'' classics of modern science writing which have crystallized big ideas, and shaped the way we think.Trade ReviewAn extraordinary masterpiece. * Adhemar Bultheel, European Mathmatical Society *Perhaps the most engaging and creative tour of modern physics that has ever been written * Sunday Times *A superb book... provocative and absorbing * Physics Today *A bold, brilliant, groundbreaking work... When Mr Penrose talks, scientists listen * New York Time Book Review *. . One cannot imagine a more revealing self-portrait than this enchanting, tantalising book... Roger Penrose reveals himself as an eloquent protagonist, not only of the wonders of mathematics, but also of the uniqueness of people. * Nature *I fail to see how anybody can remain unmoved by the book's central theme, which concerns the nature of human beings... His style is relaxed and entertaining, There are nuggets on almost every page. * Financial Times *Table of ContentsPrologue 1: Can a Computer Have a Mind? 2: Algorithms and Turing Machines 3: Mathematics and Reality 4: Truth, Proof, and Insight 5: The Classical World 6: Quantum Magic and Quantum Mystery 7: Cosmology and the Arrow of Time 8: In Search of Quantum Gravity 9: Real Brains and Model Brains 10: Where Lies the Physics of the Mind? Epilogue References Index

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Book SynopsisAn inside view of the AI revolution, from the people and companies making it happen. How did we build large language models? How do they think, if they think? Will we be able to make them share our goalsand what happens if we can't?In a series of in-depth interviews with leading AI researchers and company foundersincluding Anthropic CEO Dario Amodei, DeepMind cofounder Demis Hassabis, OpenAI cofounder Ilya Sutskever, MIRI cofounder Eliezer Yudkowsky, and Meta CEO Mark ZuckerbergDwarkesh Patel provides the first comprehensive and contemporary portrait of the technology that is transforming our world. Drawn from his interviews on the Dwarkesh Podcast, these curated excerpts range from the technical details of how LLMs work to the economic, philosophical, and safety considerations of creating artificial general intelligenceAI that can do anything humans can, and more. Patel's conversations cut through the noise and the hype to explore the topics compelling those at the forefront of the field: the power of scaling, the nature of training, the potential for misalignment, the inputs required to achieve AGI, and the economic and social ramifications of superintelligence. At a time of great promise and great uncertainty, An Oral History of the Scaling Era offers readers unprecedented insight into a transformative moment in the AI's developmentand a revealing vision of what comes next.

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Book SynopsisTable of ContentsIntroduction: The enterprise capabilities that turn digital and AI into a source of ongoing competitive advantage 1 Section One Creating the Transformation Roadmap: A business-led roadmap is the blueprint for a successful digital and AI transformation 15 Chapter 1 Get your top team inspired and aligned 19 Chapter 2 Choose the right transformation "bite size" 25 Chapter 3 Have business leaders define what's possible 33 Chapter 4 Figure out what resources you need to achieve what you want 43 Chapter 5 Build capabilities for now and the next decade 49 Chapter 6 The digital roadmap is a contract for your C-suite 57 Chapter 7 The ultimate corporate team sport 61 Getting Ready -- Section One 67 Section Two Building Your Talent Bench: Creating an environment where digital talent thrives 69 Chapter 8 Core versus noncore capabilities -- strategic talent planning 71 Chapter 9 The talent team that can build your digital team 83 Chapter 10 Hiring digital talent when they're actually interviewing you 87 Chapter 11 Recognize distinctive technologists 101 Chapter 12 Fostering craftsmanship excellence 107 Getting Ready -- Section Two 115 Section Three Adopting a New Operating Model: Rearchitecting your organization and governance to be fast and flexible 117 Chapter 13 From doing agile to being agile 119 Chapter 14 Operating models that support hundreds of agile pods 131 Chapter 15 Professionalize product management 149 Chapter 16 Customer experience design: The magic ingredient 159 Getting Ready -- Section Three 167 Section Four Technology for Speed and Distributed Innovation: Building a technology environment that empowers the entire organization to digitally innovate 169 Chapter 17 Decoupled architecture for development flexibility and operational scalability 173 Chapter 18 A more surgical and value-backed approach to cloud 185 Chapter 19 Engineering practices for speed and high-quality code 193 Chapter 20 The tools to make your developers highly productive 207 Chapter 21 Delivering production-grade digital solutions 215 Chapter 22 Build in security and automation from the start 221 Chapter 23 MLOps so AI can scale 227 Getting Ready -- Section Four 235 Section Five Embedding Data Everywhere: What it takes to make data easy to consume across the organization 237 Chapter 24 Determine what data matters 239 Chapter 25 Data products: The reusable building blocks for scaling 247 Chapter 26 Data architecture, or the system of data "pipes" 259 Chapter 27 Organize to get the most from your data 273 Getting Ready -- Section Five 285 Section Six The Keys to Unlock Adoption and Scaling: How to both get users to adopt your digital solutions and scale those solutions across the enterprise 287 Chapter 28 Nail user adoption and underlying business model changes 291 Chapter 29 Design solutions for easy replication and reuse 301 Chapter 30 Ensuring impact by tracking what matters 313 Chapter 31 Managing risk and building digital trust 329 Chapter 32 So, what about culture? 335 Getting Ready -- Section Six 345 Section Seven Transformation Journey Stories: An exploration of how three companies have driven successful digital and AI transformations 347 Chapter 33 Freeport-McMoRan turns data into value 349 Chapter 34 DBS -- A multinational bank becomes a digital bank 357 Chapter 35 The future of play takes shape at the LEGO Group 365 Acknowledgments 373 Index 377

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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.

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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 SynopsisThe hugely influential book on how the understanding of causality revolutionized science and the world, by the pioneer of artificial intelligence''Wonderful ... illuminating and fun to read'' Daniel Kahneman, Nobel Prize-winner and author of Thinking, Fast and Slow''Correlation does not imply causation.'' For decades, this mantra was invoked by scientists in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer, or carbon dioxide and global warming. But today, that taboo is dead. The causal revolution, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing how it allows us to explore the world that is and the worlds that could have been. It is the essence of human and artificial intelligence. And just as Pearl''s discoveries have enabled machines to think better, The Book of Why explains how we too can think better.''Pearl''s accomplishments over the last 30 years have provided the theoretical basis for progress in artificial intelligence and have redefined the term thinking machine'' Vint CerfTrade ReviewHave you ever wondered about the puzzles of correlation and causation? This wonderful book has illuminating answers and it is fun to read -- Daniel Kahneman, winner of the Nobel Prize * author of Thinking, Fast and Slow *If causation is not correlation, then what is it? Thanks to Judea Pearl's epoch-making research, we now have a precise answer to this question. If you want to understand how the world works, this engrossing and delightful book is the place to start -- Pedro Domingos, professor of computer science, University of Washington * author of The Master Algorithm *Judea Pearl has been the heart and soul of a revolution in artificial intelligence and in computer science more broadly -- Eric Horvitz, Technical Fellow and Director, Microsoft Research LabsPearl's accomplishments over the last 30 years have provided the theoretical basis for progress in artificial intelligence ... and they have redefined the term 'thinking machine' -- Vint Cerf, Chief Internet Evangelist, Google, Inc.Modern applications of AI, such as robotics, self-driving cars, speech recognition, and machine translation deal with uncertainty. Pearl has been instrumental in supplying the rationale and much valuable technology that allow these applications to flourish -- Alfred Spector, Vice President of Research, Google, Inc.

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Book SynopsisHow did racism creep into the algorithms that govern our daily lives, from banking and shopping, to job applications? Connecting the legacy of enlightenment racism to forms of discrimination in modern day algorithms and Artificial Intelligence, this volume examines what data feeds into AI technology - and how this data will shape the future of humanity. Delving into the narratives enveloping the development of AI systems, with a particular emphasis on tech-giants and the ideas of Mark Zuckerberg, Elon Musk and Bill Gates, Arshin Adib-Moghaddam explains how and why technology aids and abets various forms of extremism, entrenches social hierarchies and discriminatory boundaries and how this will impact international security and human rights in the future.Trade ReviewWritten with intellectual flair, this is a stimulating if sobering assessment of what we can expect in a world increasingly dominated by biased AI. A must-read to understand the paradigm shift we are already experiencing, and better anticipate the all too human flaws in the embedded tech so rapidly accumulating in our techno-societies. * Roxane Farmanfarmaian, University of Cambridge, UK *A fascinating work on the age of artificial intelligence, surveillance, and algorithmic regimes. Arshin Adib-Moghaddam asks compelling questions regarding our dice-throw with the virtual, the digital, and the simulated, taking us into those timescapes of the near-beyond where we will have to confront dire questions of our own post-humanism. This work unveils with exceptional precision both the potentiality for catastrophic violence beneath the surface of such epochal technologies yet also an escape-route into its more boundless figurations. * Jason Mohaghegh, Babson College, USA *A cutting-edge piece of work illustrating how we can transform our psychology and change values within an AI-controlled system in the age of post-human society. * Hisae Nakanishi, Doshisha University, Japan *Table of ContentsIntroduction Chapter 1: Beyond Human Robots Chapter 2: The Matrix Decoded Chapter 3: Capital Punishment Chapter 4: Techno-Imperialism Chapter 5: Death-Techniques Conclusion: Decolonial AI - A Manifesto

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Book SynopsisTable of ContentsPreface.- 1 Introduction.- 2 Statistical Learning.- 3 Linear Regression.- 4 Classification.- 5 Resampling Methods.- 6 Linear Model Selection and Regularization.- 7 Moving Beyond Linearity.- 8 Tree-Based Methods.- 9 Support Vector Machines.- 10 Deep Learning.- 11 Survival Analysis and Censored Data.- 12 Unsupervised Learning.- 13 Multiple Testing.- Index.

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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 SynopsisAI and Writing is an introduction to Generative Artificial Intelligence (GenAI) and its emergent role as a tool for academic, professional, civic, and personal writing. Sid Dobrin examines GenAI from two perspectives: the conceptual and the applied. The conceptual approach asks readers to consider the function of GenAI in their writing and to consider the ramifications of its use as a writing tool especially the ethical, social, and material issues it raises. The applied approach offers guidance to assist readers in using GenAI responsibly and authentically. In consideration of the rapid evolution of GenAI and the many unsettled questions about its utility, this book leaves room for readers to adapt to shifting technological and institutional contexts.This book is intended for composition and writing-intensive courses, and for any readers with a general or professional interest in the role of GenAI in writing. While it's primarily designed for first-year writing courses, it's also applicable to courses in advanced writing, professional writing, technical writing, business writing, and writing across the curriculum, as well as writing-intensive courses in other disciplines. In other words, it can be used in any course in which students are required to produce texts.Trade Review“AI and Writing is a practical, just-in-time guide for students—and teachers—on the uses and limitations of Generative AI in writing. Just as importantly, it will prompt critical reflection about AI's role in the future of writing and writing education. An invaluable read for anyone who wants to better understand GenAI and its impact on education.” — Naomi Mardock Uman, Metropolitan Community College“Sid Dobrin’s AI and Writing offers engaging insights that cut through contemporary anxiety surrounding generative AI in education. This book adeptly navigates both the speculative and the practical landscape of digital technologies, demystifying the complexities of generative AI and presenting actionable insights. Dobrin’s writing is framed by a philosophical and ethical lens that makes this book relevant, accessible, and essential reading for educators and learners alike.” — Clare Dyson, RMIT University Adobe Creative Campus“Sid Dobrin has spent his career pushing us to see what comes next for writing, and AI and Writing offers yet another exciting glimpse around the corner.… Dobrin’s book offers educators and students alike a vantage point from which to engage writing’s future.” — Jason Crider, Texas A&M University“Whether you are preparing students and colleagues for the new world of writing with AI or just trying to help them catch up to what has happened since the release of ChatGPT, Sid Dobrin offers an essential resource. The speed of change in AI and writing can be intimidating, but Dobrin deftly captures the enduring questions, illuminates a longer history than some might realize for these technologies, and sets an agenda for thoughtful engagement with AI rather than a reactionary response.” — William Hart-Davidson, Michigan State UniversityTable of ContentsI. Introduction: ChatGPT and the Generative Artificial Intelligence Surge Automated Writing: It's not Really New History of Writing Technologies and Cultural Panic II. What is Generative AI? (And for that matter, what is AI?) The Myths of Artificial Intelligence Artificial Intelligence Briefly Defined Generative Artificial Intelligence Briefly Defined How Does Generative Artificial Intelligence Work? What are our Assumptions and Expectations about GenAI? III. Generative AI and Academic Integrity (as well as professional, civic, and personal integrity) Generative AI and Integrity The Plagiarism Problem Spaces of Judgement IV. What is an Author? Generative AI and the Idea of Authorship Where is My Writing? Writing with Algorithms Does generative AI 'Write'? V. The Places of Generative AI Writing Academic Professional Civic Personal VI. Generative AI and Writing Processes Generative AI and Invention Generative AI and Drafting Generative AI and Revision VII. Generative AI and Creativity What is Art? What is original? Visual Rhetoric and GenAI Generative AI and Multimodal Writing VIII. Generative AI Best Practices

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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 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 Synopsis'An invaluable companion for anyone who wants a deep understanding of what's under the hood of often inscrutable machines' Melanie Mitchell A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine-learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence discoveries in chemistry, biology and physics - the study of genomes, extra-solar planets, even the intricacies of quantum systems. We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. It took the development of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see all around us today. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules. As Ananthaswamy resonantly concludes, to make the most of our most wondrous technologies we need to understand their profound limitations - the clues lie in the maths that makes AI possible.

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Book SynopsisA Sunday Times Business Book of the Year.Scary Smart will teach you how to navigate the scary and inevitable intrusion of Artificial Intelligence, with an accessible blueprint for creating a harmonious future alongside AI. From Mo Gawdat, the former Chief Business Officer at Google [X] and bestselling author of Solve for Happy.Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. – Mo GawdatArtificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predict outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong and cause harm?The answer is us: the human beings who write the code and teach AI to mimic our behaviour. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love, and the planet itself.'No one ever regrets reading anything Mo Gawdat has written.' – Emma Gannon, author of The Multi-Hyphen Method and host of the podcast Ctrl Alt DeleteTrade ReviewMo Gawdat is my life guru. His writing, his ideas and his generosity in sharing them has changed my life for the better in so many ways. Everything he writes is an enlightening education in how to be human. -- Elizabeth DayMo is an exquisite writer and speaker with deep expertise of technology . . . This book will teach you how to navigate the scary and inevitable intrusion of AI as well as who really is in control. Us. -- Dr Rupy Aujla, MBBS, BSc, MRCGP, Founder of "The Doctor's Kitchen"A proactive and bold read that provides the shake that humans need to take back our agency over AI, and therefore the fate of the world as we see it. -- Dr Camilla Pang, author of Explaining Humans: What Science Can Teach Us About Life, Love and RelationshipsA brilliant mind . . . Mo takes us on a whirlwind exploration of the fast-approaching singularity, and offers a desperate last chance to have a say in the future of humanity. Read this book! -- Tim Ash, bestselling author of Unleash Your Primal BrainNo one ever regrets reading anything Mo Gawdat has written. -- Emma Gannon, Sunday Times bestselling author of The Multi-Hyphen Method and host of award-winning podcast Ctrl Alt DeleteScary Smart is unlike anything I’ve ever read . . . What Mo does is help us analyze what it means to be human, by looking at what can or cannot happen with the rise of artificial intelligence. -- Poppy Jamie, author and founder of Happy Not Perfect

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Book SynopsisLearn how to use and leverage AI as a writer, editor, literary agent, or publisher. AI Ink: Writing, Publishing, and Misinformation at the Dawn of the AI Ageis a groundbreaking exploration of the profound impact of artificial intelligence on the creative industries. Jason Van Tatenhove, a journalist and expert on political extremism, takes readers on a journey through the rapidly evolving landscape where AI tools are reshaping writing and publishing. From AI-generated content to the ethical dilemmas of misinformation, this book addresses the opportunities and challenges that come with the integration of AI into creative processes. Van Tatenhove draws on his extensive experience and interviews with leading experts to provide a comprehensive guide that is essential for writers, publishers, and anyone interested in the future of creativity.AI Inknot only explores the current state of AI but also offers thoughtful predictions and practical advice for navigating the complexities of this new technological era.

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Book SynopsisThe Age of Intelligent Machines is upon us, and as we approach the end of human intellectual superiority, we as a species need to plan for a monumental shift. A Human Algorithm examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socio-economic world order, also have the potential to transform our health and well-being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech's insidious threats. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design.Trade Review'What does artificial intelligence mean, where is it going, and how will it affect us? We’re currently on a very steep part of the technology curve, and Flynn Coleman is a wonderfully astute, perceptive, and reliable guide as we ascend into our future.' David Eagleman, author of The Brain: The Story of You

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Book SynopsisStuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California, Berkeley, where he is a Professor and former Chair of Computer Science, Director of the Centre for Human-Compatible AI, and holder of the SmithZadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was co-winner of the Computers and Thought Award. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science, and Honorary Fellow of Wadham College, Oxford, and an Andrew Carnegie Fellow. He held the Chaire Blaise Pascal in Paris from 2012 to 2014. He has published over 300 papers on a wide range of topics in aTable of ContentsChapter I Artificial Intelligence Introduction What Is AI? The Foundations of Artificial Intelligence The History of Artificial Intelligence The State of the Art Risks and Benefits of AI SummaryBibliographical and Historical Notes Intelligent Agents Agents and Environments Good Behavior: The Concept of Rationality The Nature of Environments The Structure of Agents SummaryBibliographical and Historical Notes Chapter II Problem Solving Solving Problems by Searching Problem-Solving Agents Example Problems Search Algorithms Uninformed Search Strategies Informed (Heuristic) Search Strategies Heuristic Functions SummaryBibliographical and Historical Notes Search in Complex Environments Local Search and Optimization Problems Local Search in Continuous Spaces Search with Nondeterministic Actions Search in Partially Observable Environments Online Search Agents and Unknown Environments SummaryBibliographical and Historical Notes Constraint Satisfaction Problems Defining Constraint Satisfaction Problems Constraint Propagation: Inference in CSPs Backtracking Search for CSPs Local Search for CSPs The Structure of Problems SummaryBibliographical and Historical Notes Adversarial Search and Games Game Theory Optimal Decisions in Games Heuristic Alpha--Beta Tree Search Monte Carlo Tree Search Stochastic Games Partially Observable Games Limitations of Game Search Algorithms SummaryBibliographical and Historical Notes Chapter III Knowledge, Reasoning and Planning Logical Agents Knowledge-Based Agents The Wumpus World Logic Propositional Logic: A Very Simple Logic Propositional Theorem Proving Effective Propositional Model Checking Agents Based on Propositional Logic SummaryBibliographical and Historical Notes First-Order Logic Representation Revisited Syntax and Semantics of First-Order Logic Using First-Order Logic Knowledge Engineering in First-Order Logic SummaryBibliographical and Historical Notes Inference in First-Order Logic Propositional vs. First-Order Inference Unification and First-Order Inference Forward Chaining Backward Chaining Resolution SummaryBibliographical and Historical Notes Knowledge Representation Ontological Engineering Categories and Objects Events Mental Objects and Modal Logic for Categories Reasoning with Default Information SummaryBibliographical and Historical Notes Automated Planning Definition of Classical Planning Algorithms for Classical Planning Heuristics for Planning Hierarchical Planning Planning and Acting in Nondeterministic Domains Time, Schedules, and Resources Analysis of Planning Approaches SummaryBibliographical and Historical Notes Chapter IV Uncertain Knowledge and Reasoning Quantifying Uncertainty Acting under Uncertainty Basic Probability Notation Inference Using Full Joint Distributions Independence 12.5 Bayes' Rule and Its Use Naive Bayes Models The Wumpus World Revisited SummaryBibliographical and Historical Notes Probabilistic Reasoning Representing Knowledge in an Uncertain Domain The Semantics of Bayesian Networks Exact Inference in Bayesian Networks Approximate Inference for Bayesian Networks Causal Networks SummaryBibliographical and Historical Notes Probabilistic Reasoning over Time Time and Uncertainty Inference in Temporal Models Hidden Markov Models Kalman Filters Dynamic Bayesian Networks SummaryBibliographical and Historical Notes Making Simple Decisions Combining Beliefs and Desires under Uncertainty The Basis of Utility Theory Utility Functions Multiattribute Utility Functions Decision Networks The Value of Information Unknown Preferences SummaryBibliographical and Historical Notes Making Complex Decisions Sequential Decision Problems Algorithms for MDPs Bandit Problems Partially Observable MDPs Algorithms for Solving POMDPs SummaryBibliographical and Historical Notes Multiagent Decision Making Properties of Multiagent Environments Non-Cooperative Game Theory Cooperative Game Theory Making Collective Decisions SummaryBibliographical and Historical Notes Probabilistic Programming Relational Probability Models Open-Universe Probability Models Keeping Track of a Complex World Programs as Probability Models SummaryBibliographical and Historical Notes Chapter V Machine Learning Learning from Examples Forms of Leaming Supervised Learning . Learning Decision Trees . Model Selection and Optimization The Theory of Learning Linear Regression and Classification Nonparametric Models Ensemble Learning Developing Machine Learning Systen SummaryBibliographical and Historical Notes Knowledge in Learning A Logical Formulation of Learning Knowledge in Learning Exmplanation-Based Leaening Learning Using Relevance Information Inductive Logic Programming SummaryBibliographical and Historical Notes Learning Probabilistic Models Statistical Learning Learning with Complete Data Learning with Hidden Variables: The EM Algorithm SummaryBibliographical and Historical Notes Deep Learning Simple Feedforward Networks Computation Graphs for Deep Learning Convolutional Networks Learning Algorithms Generalization Recurrent Neural Networks Unsupervised Learning and Transfer Learning Applications SummaryBibliographical and Historical Notes Reinforcement Learning Learning from Rewards Passive Reinforcement Learning Active Reinforcement Learning Generalization in Reinforcement Learning Policy Search Apprenticeship and Inverse Reinforcement Leaming Applications of Reinforcement Learning SummaryBibliographical and Historical Notes Chapter VI Communicating, perceiving, and acting Natural Language Processing Language Models Grammar Parsing Augmented Grammars Complications of Real Natural Languagr Natural Language Tasks SummaryBibliographical and Historical Notes Deep Learning for Natural Language Processing Word Embeddings Recurrent Neural Networks for NLP Sequence-to-Sequence Models The Transformer Architecture Pretraining and Transfer Learning State of the art SummaryBibliographical and Historical Notes Robotics Robots Robot Hardware What kind of problem is robotics solving? Robotic Perception Planning and Control Planning Uncertain Movements Reinforcement Laming in Robotics Humans and Robots Alternative Robotic Frameworks Application Domains SummaryBibliographical and Historical Notes Computer Vision Introduction Image Formation Simple Image Features Classifying Images Detecting Objects The 3D World Using Computer Vision SummaryBibliographical and Historical Notes Chapter VII Conclusions Philosophy, Ethics, and Safety of Al The Limits of Al Can Machines Really Think? The Ethics of Al SummaryBibliographical and Historical Notes The Future of AI Al Components Al Architectures A Mathematical Background A.1 Complexity Analysis and O0 Notation A.2 Vectors, Matrices, and Linear Algebra A.3 Probability Distributions Bibliographical and Historical Notes B Notes on Languages and Algorithms B.1 Defining Languages with Backus-Naur Form (BNF) B.2 Describing Algorithms with Pseudocode B.3 Online Supplemental Material Bibliography Index

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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 SynopsisDaniel Newman is Principal Analyst of Futurum Research and the CEO of Broadsuite Media Group. Living his life at the intersection of people and technology, Newman works with large technology brands exploring digital transformation and how it influences our world. A five-times best-selling author, he is a Forbes, Entrepreneur and Huffington Post contributor.Olivier Blanchard draws from his extensive experience managing product innovation, technology adoption, digital integration and change management for industry leaders in a variety of sectors to help decision makers, and their organizations, understand the many risks and opportunities of technology-driven disruption and leverage innovation.Table of Contents Chapter - 01: A short history of human–machine partnerships; Chapter - 02: The state of human–machine partnerships; Chapter - 03: Framing expectations for the next age of human–machine partnerships; Chapter - 04: How businesses should prepare for the next age of human–machine partnerships; Chapter - 05: How workers should prepare for the next age of human–machine partnerships; Chapter - 06: How educational institutions should prepare for the next age of human–machine partnerships; Chapter - 07: How consumers should prepare for the next age of human–machine partnerships; Chapter - 08: How technology companies should prepare for the next age of human–machine partnerships; Chapter - 09: The future of human–machine partnerships - putting it all together;

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Book SynopsisNell Watson is a researcher and applied tech ethicist. She advises organizations on their machine learning strategies, specializing in AI research and ethical advocacy. She is President of the European Responsible AI Office and the author of Taming the Machine published by Kogan Page. She lives in Belfast, UK.Ali Hessami is a systems engineer specializing in risk analysis, assessment and safety. He is a leading figure in AI ethics standardization efforts as Vice Chair of the IEEE AI Ethics Certification Programme and Chair of the IEEE 7000 AI Ethics Standard. He lives in London, UK.

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Book SynopsisThis seminal book injects the topic of superintelligence into the academic and popular mainstream. What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? In a tour de force of analytic thinking, Bostrom lays a foundation for understanding the future of humanity and intelligent life.Trade ReviewWorth reading. * Elon Musk, Founder of SpaceX and Tesla *I highly recommend this book * Bill Gates *very deep ... every paragraph has like six ideas embedded within it. * Nate Silver *Nick Bostrom makes a persuasive case that the future impact of AI is perhaps the most important issue the human race has ever faced. Instead of passively drifting, we need to steer a course. Superintelligence charts the submerged rocks of the future with unprecedented detail. It marks the beginning of a new era * Stuart Russell, Professor of Computer Science, University of California, Berkley *Those disposed to dismiss an 'AI takeover' as science fiction may think again after reading this original and well-argued book * Martin Rees, Past President, Royal Society *This superb analysis by one of the worlds clearest thinkers tackles one of humanitys greatest challenges: if future superhuman artificial intelligence becomes the biggest event in human history, then how can we ensure that it doesnt become the last? * Max Tegmark, Professor of Physics, MIT *Terribly important ... groundbreaking... extraordinary sagacity and clarity, enabling him to combine his wide-ranging knowledge over an impressively broad spectrum of disciplines - engineering, natural sciences, medicine, social sciences and philosophy - into a comprehensible whole... If this book gets the reception that it deserves, it may turn out the most important alarm bell since Rachel Carson's Silent Spring from 1962, or ever * Olle Haggstrom, Professor of Mathematical Statistics *Valuable. The implications of introducing a second intelligent species onto Earth are far-reaching enough to deserve hard thinking * The Economist *There is no doubting the force of [Bostroms] arguments the problem is a research challenge worthy of the next generations best mathematical talent. Human civilisation is at stake * Financial Times *His book Superintelligence: Paths, Dangers, Strategies became an improbable bestseller in 2014 * Alex Massie, Times (Scotland) *Ein Text so nüchtern und cool, so angstfrei und dadurch umso erregender, dass danach das, was bisher vor allem Filme durchgespielt haben, auf einmal höchst plausibel erscheint. A text so sober and cool, so fearless and thus all the more exciting that what has until now mostly been acted through in films, all of a sudden appears most plausible afterwards. (translated from German) * Georg Diez, DER SPIEGEL *Worth reading.... We need to be super careful with AI. Potentially more dangerous than nukes * Elon Musk, Founder of SpaceX and Tesla *A damn hard read * Sunday Telegraph *I recommend Superintelligence by Nick Bostrom as an excellent book on this topic * Jolyon Brown, Linux Format *Every intelligent person should read it. * Nils Nilsson, Artificial Intelligence Pioneer, Stanford University *An intriguing mix of analytic philosophy, computer science and cutting-edge science fiction, Nick Bostrom's Superintelligence is required reading for anyone seeking to make sense of the recent surge of interest in artificial intelligence (AI). * Colin Garvey, Icon *Table of ContentsPreface ; 1. Past Developments and Present Capabilities ; 2. Roads to Superintelligence ; 3. Forms of Superintelligence ; 4. Singularity Dynamics ; 5. Decisive Strategic Advantage ; 6. Intellectual Superpowers ; 7. The Superintelligent Will ; 8. Is the Default Outcome Doom? ; 9. The Control Problem ; 10. Oracles, Genies, Sovereigns, Tools ; 11. Multipolar Scenarios ; 12. Acquiring Values ; 13. Design Choices ; 14. The Strategic Picture ; 15. Nut-Cutting Time

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Book SynopsisKatie King is CEO of AI in Business, a firm that specializes in AI consultancy and training. With over 30 years' experience, she has advised many of the world's leading brands and business leaders, including Richard Branson/Virgin, o2, Orange and Accenture. Based in East Sussex, UK, she is a member of the UK Government All-Party Parliamentary Group (APPG) task force for the enterprise adoption of AI and an Editorial Board Member of the journal AI and Ethics. A regular international keynote speaker, she has also delivered TEDx talks and is a frequent commentator on BBC TV and radio.

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Book SynopsisThis concise guide explains the history, theory, potential, application, and limitations of Artificial Intelligence. Boden shows how research into AI has shed light on the working of human and animal minds, and she considers the philosophical challenges AI raises: could programs ever be really intelligent, creative or even conscious?Trade ReviewReview from previous edition Boden's book is an excellent, accessible introduction even for the complete AI novice. * Mark Greener, Fortean Times *Boden, as an academic in the field of AI, really knows her stuff, and you get a clear understanding from her book of the various different kinds of AI, and their enduring limitations * Robert Colvile, The Spectator *A masterclass of a book * Barbara Kiser, Nature *Provides a usefully concise, basic grounding to topics without having to wade through a more voluminous tome. * Jonathan Cowie, Science Fact & Science Fiction Concatenation *Everything you need to know about Artificial Intelligence - a wonderful read. * Jack Copeland, Director of the Turing Archive for the History of Computing *Table of Contents1: What is Artificial Intelligence? 2: Generality as the Holy Grail 3: Language, Creativity, Emotion 4: Artificial Neural Networks 5: Robots and Artificial Life 6: But is it Intelligence, Really? 7: The Singularity Further Reading Index

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Book SynopsisThis book predicts the decline of today''s professions and introduces the people and systems that will replace them. In an internet-enhanced society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others, to work as they did in the 20th century.The Future of the Professions explains how increasingly capable technologies - from telepresence to artificial intelligence - will place the ''practical expertise'' of the finest specialists at the fingertips of everyone, often at no or low cost and without face-to-face interaction.The authors challenge the ''grand bargain'' - the arrangement that grants various monopolies to today''s professionals. They argue that our current professions are antiquated, opaque and no longer affordable, and that the expertise of their best is enjoyed only by a few. In their place, they propose five new models for producing and distributing expertise in society.The book raises profound policy issues, not least about employment (they envisage a new generation of ''open-collared workers'') and about control over online expertise (they warn of new ''gatekeepers'') - in an era when machines become more capable than human beings at most tasks.With a new preface exploring recent critical developments, this updated edition builds on the authors'' groundbreaking research into more than a dozen professions. Illustrated with numerous examples from each, this is the first book to assess and question the relevance of the professions in the 21st century.Trade ReviewReview from previous edition Perhaps the forthcoming tidal wave of technology set to engulf us all will throw up new opportunities for the legal profession — which is probably why just about every lawyer in London, so we are told, has bought a copy of this challenging, provocative, timely and important book. If you care about the future of your profession and wish to add further comment to the raging controversies surrounding it, better get yourself a copy now. * Phillip Taylor MBE and Elizabeth Taylor of Richard Green Chambers *In The Future of the Professions, father-and-son authors Richard and Daniel Susskind do a remorselessly effective job of demolishing the self-deception most people engage in when comparing themselves to machines. * Richard Waters, Financial Times *The authors are undoubtedly right that the professions will change more in the next quarter-century than they have in the previous three. * The Economist *Remarkable work. * Tom Watson, The Guardian *This is a bold book ... The Future of the Professions helps us to recognise the professions' current methods as convoluted, self-serving rituals designed to wrap simple tasks in mystique. * Giles Wilkes, Prospect *The Future of the Professions is a paradox that only a human mind could appreciate: the inevitable death of the professions is presented in an expert, original and witty work by two professionals whose skills (in thinking, writing and consultancy) are unlikely any time soon to be replicated by a machine. * David Pannick, The Times *The Future of the Professions: How Technology Will Transform the Work of Human Experts, is a must read for anyone who wants to gain insights into where the legal profession is going ... Nothing else I have read more clearly and convincingly elucidates the future of legal services and how technology will transform the traditional practice of law. * Dan Pinnington, Slaw *An act of delicious iconoclasm. * Prospect Magazine *Both a good read and a good starter for strategic planning in professional firms * Chris Yapp, Future Tech Blog *I suggest that everyone who considers themselves 'professional' reads this book, especially those who are aged, say, 20-45, who need to secure their role in the new world of work. The authors predict that "our professions will be dismantled incrementally". If they are right, todays lawyers need to prepare for it, and the sooner the better. * Dan Bindman, Legal Futures *A fascinating and challenging book. * Medium *The study is exceptionally well informed and important contribution to thinking about the future of professional work * Network Review *As the saying is, the future is now and we ignore it at our peril. Please read this book. * Law Skills *The book is written in a relaxed, flowing and easily-consumable style ... a read of The Future of the Professions is time very well-spent. * Jeremy Hopkins, Future of Law *Everyone interested in the future well-being of society must read this thoroughly researched and compelling book - to understand how technology can and will be used to enable the public to do far more for themselves. In reshaping our system of justice so that it can more cost-effectively underpin our democratic society and its prosperity, I have had the benefit of the Susskinds core thesis how to use technology not simply to enable the legal professions to do better what they now do, but to reshape justice for the benefit of the public. * Lord Thomas of Cwmgiedd, the Lord Chief Justice of England and Wales *If the Susskinds are right we are at the start of a social revolution. Technology has begun to transform social class, economic activity, political discourse, working life and the limits of human activity. In The Future of the Professions they relentlessly and unyieldingly but also entertainingly and elegantly set about proving their point. I started knowing that their argument was important, I finished convinced that it was right. This is a necessary book. It was necessary that it be written and necessary that you read it. * Daniel Finkelstein, The Times *Impressive new book. * Edward Fennell, The Times *I know of no better book for anyone interested in the future of skilled jobs and society. Drawing on an astounding range of sources and the latest research, The Future of the Professions offers vital insights into the unprecedented disruption facing all the professions. * Professor Ian Goldin, Professor of Globalisation and Development and Director of the Oxford Martin School, University of Oxford *In this magisterial survey Richard and Daniel Susskind demolish each profession's faith in its immutable uniqueness. Instead they trace inexorable and universal forces that will drive disintermediation, deconstruction and disruption. Written with scholarly thoroughness, this is an urgent manifesto and practical blueprint for the leaders of every professional firm. * Philip Evans, Senior Partner & BCG Fellow, The Boston Consulting Group *Table of ContentsPreface to the Updated Edition IntroductionI: Change 1: The Grand Bargain 2: From the Vanguard 3: Patterns Across the ProfessionsII: Theory 4: Information and Technology 5: Production and Distribution of KnowledgeIII: Implications 6: Objections and Anxieties 7: After the Professions Conclusion: What Future Should We Want?

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