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AI and Machine Learning for Coders
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
AI and Popular Culture
AI and Popular Cultureexplores the development and social significance of artificial intelligence by looking at representations in fiction, film and television, as well as examining the effect of AI technologies on the way we consume culture. Lee Barron traces the evolution of AI - from the Turing Machine to deep learning, to interrogate the key issues and debates. He uses examples of AI from pop culture to help us understand how the technology is changing aspects of society from surveillance and work to human relationships with technology. AI and Popular Culturesheds light on how artificial intelligence has changed our world and helps you to understand where it might take us next. It also makes significant contributions to Media and Cultural Studies, Humanities, and Social Sciences, as well as to subjects such as AI Ethics and Society and Computing.
Artificial Communication : How Algorithms Produce Social Intelligence
A 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 into account the possibility that a communication partner may be not a human being but an algorithm-which is not random and is completely controlled, although not by the processes of the human mind. Esposito investigates this by examining the use of algorithms in different areas of social life. She explores the proliferation of lists (and lists of lists) online, explaining that the web works on the basis of lists to produce further lists; the use of visualization; digital profiling and algorithmic individualization, which personalize a mass medium with playlists and recommendations; and the implications of the "right to be forgotten." Finally, she considers how photographs today seem to be used to escape the present rather than to preserve a memory.
Artificial Intelligence and Global Security Future Trends, Threats and Considerations
Artificial Intelligence and Global Security: Future Trends, Threats and Considerationsbrings a much-needed perspective on the impact of the integration of artificial intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare. That is why there is an urgent need to consider the potential ethical and moral consequences related to enabling AI to make decisions that will shape the future world. This book masterfully presents a vision of a future that is replete with integrated networks of artificial intelligence that are designed to both defend and attack nations. Artificial Intelligence and Global Security: Future Trends, Threats and Considerationshas rendered a major service to those interested in the impact of artificial intelligence technologies and its contribution to the evolution and revolution in military warfare. It also explores the implications of AI for the individual, for personal identity, for society, and for global security; it examines the impact of AI on Just War Theory; and it offers diverse perspectives on the consequences of the integration of AI in our daily lives and society.
Artificial Intelligence Basics: A Self-Teaching Introduction
Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are covered in detail, followed by separate programming chapters on Prolog and Python. The concluding chapter on artificial intelligence machines and robotics is comprehensive with numerous modernapplications. Features: Covers an introduction to concepts related to AI, including searching processes, knowledge representation, machine learning, expert systems, programming, and robotics Includes separate chapters on Prolog and Python to introduce basic programming techniques in AI
Artificial Intelligence for Dummies
Forget far-away dreams of the future. Artificial intelligence is here now! Every time you use a smart device or some sort of slick technology--be it a smartwatch, smart speaker, security alarm, or even customer service chat box--you're engaging with artificial intelligence (AI). If you're curious about how AI is developed--or question whether AI is real--Artificial Intelligence For Dummies holds the answers you're looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can't live without. This book will help you: Separate the reality of artificial intelligence from the hype Know what artificial intelligence can accomplish and what its limits are Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly See how AI is being used in hardware applications like drones, robots, and vehicles Know where AI could be used in space, medicine, and communication fields sooner than you think Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don't need to understand AI to operate your smart speaker or interact with a bot, you'll feel a little smarter--dare we say more intelligent--when you know what's going on behind the scenes. So don't wait. Pick up this popular guide to unlock the secrets of AI today!
Artificial Intelligence Foundations: Learning from experience
In alignment with BCS AI Foundation and Essentials certificates, this introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organisation. You will learn how AI is being utilised today and how it is likely to be used in the future to balance the talents of humans and machines. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed.
Atlas of AI : Power, Politics, and the Planetary Costs of Artificial Intelligence
The hidden costs of artificial intelligence--from natural resources and labor to privacy, equality, and freedom "This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained."--New Yorker "A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future."--John Thornhill, Financial Times "It's a masterpiece, and I haven't been able to stop thinking about it."--Karen Hao, senior editor, MIT Tech Review What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award‑winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity. Rather than taking a narrow focus on code and algorithms, Crawford offers us a material and political perspective on what it takes to make AI and how it centralizes power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.
Augmented Exploitation : Artificial Intelligence, Automation and Work
Artificial Intelligence is a seemingly neutral technology, but it is increasingly used to manage workforces and make decisions to hire and fire employees. Its proliferation in the workplace gives the impression of a fairer, more efficient system of management. A machine can't discriminate, after all. Augmented Exploitation explores the reality of the impact of AI on workers' lives. While the consensus is that AI is a completely new way of managing a workplace, the authors show that, on the contrary, AI is used as most technologies are used under capitalism: as a smokescreen that hides the deep exploitation of workers. Going beyond platform work and the gig economy, the authors explore emerging forms of algorithmic governance and AI-augmented apps that have been developed to utilise innovative ways to collect data about workers and consumers, as well as to keep wages and worker representation under control. They also show that workers are not taking this lying down, providing case studies of new and exciting form of resistance that are springing up across the globe.
Brave New Words: How AI Will Revolutionize Education (and Why That's a Good Thing)
"A timely masterclass for anyone interested in the future of learning in the AI era." --Bill Gates "This book is required reading for everyone who cares about education." --Adam Grant, #1 New York Times bestselling author of Hidden Potential and Think Again, and host of the podcast Re:Thinking "Read this book. It's the most fascinating and important account of how AI will transform the way we learn." --Walter Isaacson, #1 New York Times bestselling author From the founder of Khan Academy, the first book on the AI revolution in education, its implications for parenting, and how we can best harness its power for good. Whether we like it or not, the AI revolution is coming to education. In Brave New Words, Salman Khan, the visionary behind Khan Academy, explores how artificial intelligence and GPT technology will transform learning, and offers a road map for teachers, parents, and students to navigate this exciting (and sometimes intimidating) new world. A pioneer in the field of education technology, Khan examines the ins and outs of these cutting-edge tools and how they will revolutionize the way we learn and teach. For parents concerned about their children's success, Khan illustrates how AI can personalize learning by adapting to each student's individual pace and style, identifying strengths and areas for improvement, and offering tailored support and feedback to complement traditional classroom instruction. Khan emphasizes that embracing AI in education is not about replacing human interaction but enhancing it with customized and accessible learning tools that encourage creative problem-solving skills and prepare students for an increasingly digital world. But Brave New Words is not just about technology--it's about what this technology means for our society, and the practical implications for administrators, guidance counselors, and hiring managers who can harness the power of AI in education and the workplace. Khan also delves into the ethical and social implications of AI and large language models, offering thoughtful insights into how we can use these tools to build a more accessible education system for students around the world.
Careers in Artificial Intelligence
Artificial intelligence (AI) is all around us, from music choices to electronics to healthcare. AI refers to machines that are programmed to think and act like humans. Examples of AI include Pandora personalized song lists, robotic vacuum cleaners and self-driving vehicles. Many industries offer careers in AI, including financial services, technology, marketing, agriculture, gaming, and retail. As the need for technology and its problem-solving abilities continues to grow, so does the need for highly-skilled individuals to work in this sector. Careers in Artificial Intelligence provides detailed information and need-to-know information on various careers in artificial intelligence. Each chapter provides a wealth of real-world information including A Day in the Life, Work Environment, Education & Training, Earnings & Advancement, Employment Outlook, Networking Contacts, Areas with the Highest Employment Levels, and Conversations with Real Professionals.
A Citizen's Guide to Artificial Intelligence
A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.
Human-Centered AI
The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.
Intro to Python for Computer Science and Data Science
For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science. The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.
Killer ChatGPT Prompts
Unlock the full capabilities of ChatGPT at work, at home, and in your day-to-day By now, you've heard of ChatGPT and its incredible potential. You may even have tried to use it a few times just to see it in action for yourself. But have you ever wondered what ChatGPT is truly capable of? Killer ChatGPT Prompts: Harness the Power of AI for Success and Profit will show you the true power of Large Language Models (LLMs) like ChatGPT. In the book, veteran IT educator and trusted author Guy Hart-Davis shows you the exact prompts he's discovered to unlock a huge variety of expert business writing, like emails and proposals, data analysis use cases, lesson plans, information exchange scripts, and more! You'll also find: The perfect prompts for a huge array of job roles, including those in sales and marketing, web development, HR, customer support, and more Use cases for ChatGPT in the home, with your kids, and in your relationship Hundreds more prompts that will make your job, your home life, and your day-to-day so much easier There's no doubt about it. LLMs--and ChatGPT--are here to stay. The only question is: Will you have the skills and the wherewithal to unleash its potential in your own life? Killer ChatGPT Prompts can guarantee that you will.
Making AI Intelligible: Philosophical Foundations
Can humans and artificial intelligences share concepts and communicate? Making AI Intelligible shows that philosophical work on the metaphysics of meaning can help answer these questions. Herman Cappelen and Josh Dever use the externalist tradition in philosophy to create models of how AIs andhumans can understand each other. In doing so, they illustrate ways in which that philosophical tradition can be improved.The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about(for example, creditworthiness, recidivism, cancer, and combatants). If AIs can share our concepts, that will go some way towards justifying this reliance on AI. This ground-breaking study offers insight into how to take some first steps towards achieving Interpretable AI.
The New Fire: War, Peace, and Democracy in the Age of AI
AI is revolutionizing the world. Here's how democracies can come out on top. Artificial intelligence is revolutionizing the modern world. It is ubiquitous-in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. If we wield it for destruction, it will fan the flames of a new kind of war, one that holds democracy in the balance. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent-or more fascinating-than how we harness this technology and for what purpose. The new fire has three sparks- data, algorithms, and computing power. These components fuel viral disinformation campaigns, new hacking tools, and military weapons that once seemed like science fiction. To autocrats, AI offers the prospect of centralized control at home and asymmetric advantages in combat. It is easy to assume that democracies, bound by ethical constraints and disjointed in their approach, will be unable to keep up. But such a dystopia is hardly preordained. Combining an incisive understanding of technology with shrewd geopolitical analysis, Buchanan and Imbrie show how AI can work for democracy. With the right approach, technology need not favor tyranny.
Principles of Robotics and Artificial Intelligence
This volume provides readers with the important information they need to understand the basic concepts of artificial intelligence as well as ways that both AI and robotics can be successfully incorporated into manufacturing, transportation, education, and medicine. More than 120 easy-to-understand entries, many with illustrations and hotographs to enhance understanding, cover topics related to such important concepts in artificial intelligence and robotics.
The Road to General Intelligence
Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair. The successful realization of General Intelligence (evidenced by the kind of cross-domain flexibility enjoyed by humans) will spawn an industry worth billions and transform the range of viable automation tasks.The recent notable successes of Machine Learning has lead to conjecture that it might be the appropriate technology for delivering General Intelligence. In this book, we argue that the framework of machine learning is fundamentally at odds with any reasonable notion of intelligence and that essential insights from previous decades of AI research are being forgotten. We claim that a fundamental change in perspective is required, mirroring that which took place in the philosophy of science in the mid 20th century. We propose a framework for General Intelligence, together with a reference architecture that emphasizes the need for anytime bounded rationality and a situated denotational semantics. We given necessary emphasis to compositional reasoning, with the required compositionality being provided via principled symbolic-numeric inference mechanisms based on universal constructions from category theory. * Details the pragmatic requirements for real-world General Intelligence. * Describes how machine learning fails to meet these requirements. * Provides a philosophical basis for the proposed approach. * Provides mathematical detail for a reference architecture. * Describes a research program intended to address issues of concern in contemporary AI. The book includes an extensive bibliography, with ~400 entries covering the history of AI and many related areas of computer science and mathematics.The target audience is the entire gamut of Artificial Intelligence/Machine Learning researchers and industrial practitioners. There are a mixture of descriptive and rigorous sections, according to the nature of the topic. Undergraduate mathematics is in general sufficient. Familiarity with category theory is advantageous for a complete understanding of the more advanced sections, but these may be skipped by the reader who desires an overall picture of the essential concepts This is an open access book.
Robotics, AI, and Humanity: Science, Ethics, and Policy
This open access book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The emergent technologies have for instance implications within medicine and health care, employment, transport, manufacturing, agriculture, and armed conflict. While there has been considerable attention devoted to robotics/AI applications in each of these domains, a fuller picture of their connections and the possible consequences for our shared humanity seems needed. This volume covers multidisciplinary research, examines current research frontiers in AI/robotics and likely impacts on societal well-being, human - robot relationships, as well as the opportunities and risks for sustainable development and peace. The attendant ethical and religious dimensions of these technologies are addressed and implications for regulatory policies on the use and future development of AI/robotics technologies are elaborated.
Trustworthy AI A Business Guide for Navigating Trust and Ethics in AI
An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.
What You Don't Know: AI's unseen influence on your life and how to take back control
You are probably not aware, because of their hidden nature, but artificial intelligence systems are all around you affecting some of the biggest areas of your life-jobs, loans, kids, mental health, relationships, freedoms, and even healthcare decisions that can determine if you live or die. As an executive working in AI at one of the largest, most sophisticated tech companies on the planet, Cortnie Abercrombie saw firsthand how the corporate executives and data science teams of the Fortune 500 think about and develop AI systems. In this book she makes it easy to understand how AI works and unveils what companies are doing with AI that can impact you the most. Most importantly, she offers practical advice on what you can do about it today and the change you should demand for the future.This book addresses the pressing questions that non-insiders want answered, including: how does AI work (in words you don't need a PhD to understand)?; how can AI affect my job, replace me, or prevent my hire?; is AI involved in life-or-death decisions in healthcare?; could my digital accounts or home network be hacked because of my AI-based smart TV, coffeemaker, or robot vacuum?; how does AI know so much about me, what does it know, and can it be used against me?; can it manipulate people to do things they wouldn't normally?; and much more.
Who Wrote This? : How AI and the Lure of Efficiency Threaten Human Writing
Would you read this book if a computer wrote it? Would you even know? And why would it matter? Today's eerily impressive artificial intelligence writing tools present us with a crucial challenge: As writers, do we unthinkingly adopt AI's time-saving advantages or do we stop to weigh what we gain and lose when heeding its siren call? To understand how AI is redefining what it means to write and think, linguist and educator Naomi S. Baron leads us on a journey connecting the dots between human literacy and today's technology. From nineteenth-century lessons in composition, to mathematician Alan Turing's work creating a machine for deciphering war-time messages, to contemporary engines like ChatGPT, Baron gives readers a spirited overview of the emergence of both literacy and AI, and a glimpse of their possible future. As the technology becomes increasingly sophisticated and fluent, it's tempting to take the easy way out and let AI do the work for us. Baron cautions that such efficiency isn't always in our interest. As AI plies us with suggestions or full-blown text, we risk losing not just our technical skills but the power of writing as a springboard for personal reflection and unique expression. Funny, informed, and conversational, Who Wrote This? urges us as individuals and as communities to make conscious choices about the extent to which we collaborate with AI. The technology is here to stay. Baron shows us how to work with AI and how to spot where it risks diminishing the valuable cognitive and social benefits of being literate.
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The Age of AI and Our Human Future
The Age of AI is upon us. Three leading thinkers have come together to consider what it means-and they have concluded that it is changing nearly everything about how humans navigate the world. From The Age of AI: Recently, a sophisticated language-generating AI was asked philosophical questions. It replied, in part: Your first question is an important one. You ask: "Can a system like GPT-3 actually understand anything at all?" Yes. I can Your second question is: "Does GPT-3 have a conscience, or any sense of morality?" No. I do not. Your third questions is: "Is GPT-3 actually capable of independent thought?" No. I am not. You many wonder why I give this conflicting answer. The reason is simple. While it is true that I lack these traits, the are not because I have not been trained to have them. Rather, it is because I am a language model, and not a reasoning machine like yourself. Book jacket.
The AI Book
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today's Financial Services Industry · The future state of financial services and capital markets - what's next for the real-world implementation of AITech? · The innovating customer - users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the 'unbundled corporation' & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important
Architects of Intelligence: The Truth About AI from the People Building it
Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description: How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook), Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika's thoughts on AI analytics, Geoffrey Hinton's breakthroughs in AI programming and development, and Rana el Kaliouby's insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
"a provocative new book" -- The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples--including many from the most powerful and innovative global, AI-driven competitors--and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
The Future of Work: Robots, AI, and Automation
Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question--how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow--one that needs to take place today.
Futureproof : 9 rules for humans in the age of automation
"A concise, insightful and sophisticated guide to maintaining humane values in an age of new machines."--The New York Times Book Review "While we need to rewrite the rules of the twenty-first-century economy, Kevin's book is a great look at how people can do this on a personal level to always put humanity first."--Andrew Yang You are being automated. After decades of hype and sci-fi fantasies, artificial intelligence is leaping out of research labs and into the center of our lives. Automation doesn't just threaten our jobs. It shapes our entire human experience, with AI and algorithms influencing the TV shows we watch, the music we listen to, the beliefs we hold, and the relationships we form. And while the age-old debate over whether automation will destroy jobs rages on, an even more important question is being ignored: How can we be happy, successful humans in a world that is increasingly built by and for machines? In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose lays out a hopeful, pragmatic vision for how we can thrive in the age of AI and automation. He shares the secrets of people and organizations that have survived previous waves of technological change, and explains what skills are necessary to stay ahead of today's intelligent machines, with lessons like * Be surprising, social, and scarce. * Resist machine drift. * Leave handprints. * Demote your devices. * Treat AI like a chimp army. Roose rejects the conventional wisdom that in order to succeed in the AI age, we have to become more like machines ourselves--hyper-efficient, data-driven workhorses. Instead, he says, we should focus on being more human, and doing the kinds of creative, inspiring, and meaningful things even the most advanced robots can't do.
Reference Shelf: New Developments in Artificial Intelligence
Recommended by Bill Gates. A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own; In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
Novacene : the coming age of hyperintelligence
The originator of the Gaia theory offers the vision of a future epoch in which humans and artificial intelligence together will help the Earth survive. James Lovelock, creator of the Gaia hypothesis and the greatest environmental thinker of our time, has produced an astounding new theory about future of life on Earth. He argues that the Anthropocene--the age in which humans acquired planetary-scale technologies--is, after 300 years, coming to an end. A new age--the Novacene--has already begun. In the Novacene, new beings will emerge from existing artificial intelligence systems. They will think 10,000 times faster than we do and they will regard us as we now regard plants. But this will not be the cruel, violent machine takeover of the planet imagined by science fiction. These hyperintelligent beings will be as dependent on the health of the planet as we are. They will need the planetary cooling system of Gaia to defend them from the increasing heat of the sun as much as we do. And Gaia depends on organic life. We will be partners in this project. It is crucial, Lovelock argues, that the intelligence of Earth survives and prospers. He does not think there are intelligent aliens, so we are the only beings capable of understanding the cosmos. Perhaps, he speculates, the Novacene could even be the beginning of a process that will finally lead to intelligence suffusing the entire cosmos. At the age of 100, James Lovelock has produced the most important and compelling work of his life.
Possible minds : Twenty-five Ways of Looking at AI
Science world luminary John Brockman assembles twenty-five of the most important scientific minds, people who have been thinking about the field of artificial intelligence for most of their careers, for an unparalleled round-table examination about mind, thinking, intelligence and what it means to be human.
Principles of Robotics and Artificial Intelligence
This volume provides readers with the important information they need to understand the basic concepts of artificial intelligence as well as ways that both AI and robotics can be successfully incorporated into manufacturing, transportation, education, and medicine. More than 120 easy-to-understand entries, many with illustrations and hotographs to enhance understanding, cover topics related to such important concepts in artificial intelligence and robotics.
Reprogramming the American Dream : From Rural America to Silicon Valley--Making AI Serve Us All
** #1 Wall Street Journal Bestseller ** In this essential book written by a rural native and Silicon Valley veteran, Microsoft's Chief technology officer tackles one of the most critical issues facing society today: the future of artificial intelligence and how it can be realistically used to promote growth, even in a shifting employment landscape. There are two prevailing stories about AI: for heartland low- and middle-skill workers, a dystopian tale of steadily increasing job destruction; for urban knowledge workers and the professional class, a utopian tale of enhanced productivity and convenience. But there is a third way to look at this technology that will revolutionize the workplace and ultimately the world. Kevin Scott argues that AI has the potential to create abundance and opportunity for everyone and help solve some of our most vexing problems. As the chief technology officer at Microsoft, he is deeply involved in the development of AI applications, yet mindful of their potential impact on workers--knowledge he gained firsthand growing up in rural Virginia. Yes, the AI Revolution will radically disrupt economics and employment for everyone for generations to come. But what if leaders prioritized the programming of both future technology and public policy to work together to find solutions ahead of the coming AI epoch Like public health, the space program, climate change and public education, we need international understanding and collaboration on the future of AI and work. For Scott, the crucial question facing all of us is this: How do we work to ensure that the continued development of AI allows us to keep the American Dream alive In this thoughtful, informed guide, he offers a clear roadmap to find the answer.
You Look Like a Thing and I Love You
As heard on NPR's "Science Friday," discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North). "You look like a thing and I love you" is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives. We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars? Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"? In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking. "I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way." --Adam Grant, New York Times bestselling author of Originals
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