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A Citizen's Guide to Artificial Intelligence

A Citizen's Guide to Artificial Intelligence PDF Author: John Zerilli
Publisher: MIT Press
ISBN: 0262044811
Category : Computers
Languages : en
Pages : 233

Book Description
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.

A Citizen's Guide to Artificial Intelligence

A Citizen's Guide to Artificial Intelligence PDF Author: John Zerilli
Publisher: MIT Press
ISBN: 0262044811
Category : Computers
Languages : en
Pages : 233

Book Description
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.

You & AI: A Guide to Understanding How Artificial Intelligence Is Shaping Our Lives

You & AI: A Guide to Understanding How Artificial Intelligence Is Shaping Our Lives PDF Author: Anne Scherer
Publisher: BoD – Books on Demand
ISBN: 375281361X
Category : Computers
Languages : en
Pages : 199

Book Description
As we increasingly integrate artificial intelligence (AI) into our everyday lives, many pressing questions remain: What exactly is AI, and how does it differ from human intelligence? How will AI influence our future, and what challenges must we overcome to develop ethical AI? Explore the exciting world of AI and its impact on our daily lives and society with this ultimate guide. Dr. Anne Scherer and Dr. Cindy Candrian reveal everything about the latest scientific findings on the big questions of AI. Discover the evolution of AI and how unconscious perceptions can influence our trust in it. Learn more about the creativity of machines and how our data is used by AI. With this book, you will learn how to harness the power of AI to make better decisions and what to pay particular attention to, so you don't inadvertently get manipulated, deprived of your abilities, or led to discriminatory decisions. Are you ready to unlock the secrets of "You & AI"? Then this book is perfect for you.

A Human's Guide to Machine Intelligence

A Human's Guide to Machine Intelligence PDF Author: Kartik Hosanagar
Publisher: Viking Adult
ISBN: 0525560882
Category : Business & Economics
Languages : en
Pages : 274

Book Description
In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives.

Artificial Intelligence

Artificial Intelligence PDF Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
ISBN: 0374715238
Category : Computers
Languages : en
Pages : 336

Book Description
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

A Human Algorithm

A Human Algorithm PDF Author: Flynn Coleman
Publisher: Catapult
ISBN: 1640094288
Category : Computers
Languages : en
Pages : 337

Book Description
A groundbreaking narrative on the urgency of ethically designed AI and a guidebook to reimagining life in the era of intelligent technology. The Age of Intelligent Machines is upon us, and we are at a reflection point. The proliferation of fast–moving technologies, including forms of artificial intelligence akin to a new species, will cause us to confront profound questions about ourselves. The era of human intellectual superiority is ending, and we need to plan for this monumental shift. A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socioeconomic 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 that 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. To realize AI’s transcendent potential, Coleman advocates for inviting a diverse group of voices to participate in designing our intelligent machines and using our moral imagination to ensure that human rights, empathy, and equity are core principles of emerging technologies. 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. “[Coleman] argues that the algorithms of machine learning––if they are instilled with human ethics and values––could bring about a new era of enlightenment.” —San Francisco Chronicle

You Look Like a Thing and I Love You

You Look Like a Thing and I Love You PDF Author: Janelle Shane
Publisher: Voracious
ISBN: 0316525235
Category : Computers
Languages : en
Pages : 272

Book Description
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

How to Talk to Robots: a Girls' Guide to a Future Dominated by AI

How to Talk to Robots: a Girls' Guide to a Future Dominated by AI PDF Author: Tabitha Goldstaub
Publisher: Fourth Estate
ISBN: 9780008328238
Category :
Languages : en
Pages : 256

Book Description
'...an essential and fascinating manual for every woman who wants to understand equality within an ever-changing, modern world.' Scarlett Curtis '...[this book] taught me more than any book has ever taught me about AI.' Chris Evans, Virgin Radio How To Talk To Robots, is your girls guide to Artificial Intelligence. Entrepreneur Tabitha Goldstaub welcomes you into the AI world with a warm embrace. She brilliantly breaks down the tech-bro barriers offering a straightforward introduction and makes clear the enormous benefits of understanding AI.. If your social feed defines your spending habits or you've downloaded the latest filter to see what you'll look like when you are old or now connect with your doctor using an app, have applied for a job online or used your phone to arrive at work in record time, AI is playing a part in how you live, work and play. We live in an era where machines are taught to learn and act without human intervention and there are infinite possibilities to their applications. The risk of these technologies biasing against you is real, and this book will give you tools to navigate the current and future developments consciously. As well as explaining the risks Tabitha lays out the awesome benefits AI can offer. From spotting disease to tailoring education and tackling climate change the potential rewards are life-changing. Starting with a potted history, Tabitha shines a light on the many unsung heroines since the rise of AI in the 1960s. In conversation with Karen Hao she simply demonstrates how the technology works (and sometimes doesn't work!) and interviews a cross-section of women who use AI in their work today including Jeanette Winterson, Sharmadean Reid, Martha Lane Fox and Hannah Fry. This book doesn't just present the challenge; Tabitha offers supportive practical advice and shares an extensive list of books, films, courses and more for further exploration. However it is that you identify with womanhood, wherever you are in life, and whatever you do, this technology is inescapable and now is your time to make sure AI works for you - and not you for it!

Human + Machine

Human + Machine PDF Author: Paul R. Daugherty
Publisher: Harvard Business Press
ISBN: 1633693872
Category : Computers
Languages : en
Pages : 268

Book Description
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.

Architects of Intelligence

Architects of Intelligence PDF Author: Martin Ford
Publisher: Packt Publishing Ltd
ISBN: 178913126X
Category : Computers
Languages : en
Pages : 540

Book Description
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.

Humans Need Not Apply

Humans Need Not Apply PDF Author: Jerry Kaplan
Publisher: Yale University Press
ISBN: 0300216416
Category : Technology & Engineering
Languages : en
Pages : 256

Book Description
An “intriguing, insightful” look at how algorithms and robots could lead to social unrest—and how to avoid it (The Economist, Books of the Year). After decades of effort, researchers are finally cracking the code on artificial intelligence. Society stands on the cusp of unprecedented change, driven by advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure—but as AI expert and Silicon Valley entrepreneur Jerry Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. In Humans Need Not Apply, he proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promises and perils of AI is a must-read for business leaders and policy makers on both sides of the aisle. “A reminder that AI systems don’t need red laser eyes to be dangerous.”—Times Higher Education Supplement “Kaplan…sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs.”—Financial Times