Doing Ai

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Doing AI

Author : Richard Heimann
Publisher : BenBella Books
Page : 273 pages
File Size : 40,5 Mb
Release : 2021-12-14
Category : Technology & Engineering
ISBN : 9781953295736

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Doing AI by Richard Heimann Pdf

Artificial intelligence (AI) has captured our imaginations—and become a distraction. Too many leaders embrace the oversized narratives of artificial minds outpacing human intelligence and lose sight of the original problems they were meant to solve. When businesses try to “do AI,” they place an abstract solution before problems and customers without fully considering whether it is wise, whether the hype is true, or how AI will impact their organization in the long term. Often absent is sound reasoning for why they should go down this path in the first place. Doing AI explores AI for what it actually is—and what it is not— and the problems it can truly solve. In these pages, author Richard Heimann unravels the tricky relationship between problems and high-tech solutions, exploring the pitfalls in solution-centric thinking and explaining how businesses should rethink AI in a way that aligns with their cultures, goals, and values. As the Chief AI Officer at Cybraics Inc., Richard Heimann knows from experience that AI-specific strategies are often bad for business. Doing AI is his comprehensive guide that will help readers understand AI, avoid common pitfalls, and identify beneficial applications for their companies. This book is a must-read for anyone looking for clarity and practical guidance for identifying problems and effectively solving them, rather than getting sidetracked by a shiny new “solution” that doesn’t solve anything.

Scary Smart

Author : Mo Gawdat
Publisher : Bluebird
Page : 0 pages
File Size : 45,5 Mb
Release : 2022-12-08
Category : Business & Economics
ISBN : 1529077656

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Scary Smart by Mo Gawdat Pdf

A 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 Gawdat Artificial 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 Delete

What To Do When Machines Do Everything

Author : Malcolm Frank,Paul Roehrig,Ben Pring
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 41,7 Mb
Release : 2017-01-18
Category : Business & Economics
ISBN : 9781119278672

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What To Do When Machines Do Everything by Malcolm Frank,Paul Roehrig,Ben Pring Pdf

“Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners—who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business—this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; Understand the untold full extent of technology's impact on the way we work and live. Find out where we're headed, and how soon the future will arrive Leverage the new emerging paradigm into a sustainable business advantage Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business—or your career—get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.

The Atlas of AI

Author : Kate Crawford
Publisher : Yale University Press
Page : 336 pages
File Size : 47,5 Mb
Release : 2021-04-06
Category : Computers
ISBN : 9780300209570

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The Atlas of AI by Kate Crawford Pdf

The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

Making AI Intelligible

Author : Herman Cappelen,Josh Dever
Publisher : Oxford University Press
Page : 184 pages
File Size : 55,6 Mb
Release : 2021
Category : Philosophy
ISBN : 9780192894724

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Making AI Intelligible by Herman Cappelen,Josh Dever Pdf

Can humans and artificial intelligences share concepts and communicate? One aim of Making AI Intelligible is to show that philosophical work on the metaphysics of meaning can help answer these questions. Cappelen and Dever use the externalist tradition in philosophy of to create models of how AIs and humans can understand each other. In doing so, they also show ways in which that philosophical tradition can be improved: our linguistic encounters with AIs revel that our theories of meaning have been excessively anthropocentric. 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 (e.g. creditworthiness, recidivism, cancer, and combatants.) If AIs can share our concepts, that will go some way towards justifying this reliance on AI. The book can be read as a proposal for how to take some first steps towards achieving interpretable AI. Making AI Intelligible is of interest to both philosophers of language and anyone who follows current events or interacts with AI systems. It illustrates how philosophy can help us understand and improve our interactions with AI.

What AI Can Do

Author : Manuel Cebral-Loureda,Elvira G. Rincón-Flores,Gildardo Sanchez-Ante
Publisher : CRC Press
Page : 410 pages
File Size : 47,8 Mb
Release : 2023-08-01
Category : Computers
ISBN : 9781000909036

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What AI Can Do by Manuel Cebral-Loureda,Elvira G. Rincón-Flores,Gildardo Sanchez-Ante Pdf

The philosopher Spinoza once asserted that no one knows what a body can do, conceiving an intrinsic bodily power with unknown limits. Similarly, we can ask ourselves about Artificial Intelligence (AI): To what extent is the development of intelligence limited by its technical and material substrate? In other words, what can AI do? The answer is analogous to Spinoza’s: Nobody knows the limit of AI. Critically considering this issue from philosophical, interdisciplinary, and engineering perspectives, respectively, this book assesses the scope and pertinence of AI technology and explores how it could bring about both a better and more unpredictable future. What AI Can Do highlights, at both the theoretical and practical levels, the cross-cutting relevance that AI is having on society, appealing to students of engineering, computer science, and philosophy, as well as all who hold a practical interest in the technology.

The Myth of Artificial Intelligence

Author : Erik J. Larson
Publisher : Harvard University Press
Page : 321 pages
File Size : 52,9 Mb
Release : 2021-04-06
Category : Computers
ISBN : 9780674983519

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The Myth of Artificial Intelligence by Erik J. Larson Pdf

“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

Why AI Undermines Democracy and What To Do About It

Author : Mark Coeckelbergh
Publisher : John Wiley & Sons
Page : 98 pages
File Size : 44,9 Mb
Release : 2024-02-15
Category : Political Science
ISBN : 9781509560943

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Why AI Undermines Democracy and What To Do About It by Mark Coeckelbergh Pdf

Across the world, AI is used as a tool for political manipulation and totalitarian repression. Stories about AI are often stories of polarization, discrimination, surveillance, and oppression. Is democracy in danger? And can we do anything about it? In this compelling and balanced book, Mark Coeckelbergh reveals the key risks posed by AI for democracy. He argues that AI, as currently used and developed, undermines fundamental principles on which liberal democracies are founded, such as freedom and equality. How can we make democracy more resilient in the face of AI? And, more positively, what can AI do for democracy? Coeckelbergh advocates not only for more democratic technologies, but also for new political institutions and a renewal of education to ensure that AI promotes, rather than hinders, the common good for the twenty-first century. Why AI Undermines Democracy and What to Do About It is illuminating reading for anyone who is concerned about the fate of democracy.

Awkward Intelligence

Author : Katharina A. Zweig
Publisher : MIT Press
Page : 283 pages
File Size : 55,9 Mb
Release : 2022-10-25
Category : Computers
ISBN : 9780262047463

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Awkward Intelligence by Katharina A. Zweig Pdf

An expert offers a guide to where we should use artificial intelligence—and where we should not. Before we know it, artificial intelligence (AI) will work its way into every corner of our lives, making decisions about, with, and for us. Is this a good thing? There’s a tendency to think that machines can be more “objective” than humans—can make better decisions about job applicants, for example, or risk assessments. In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI’s supposedly objective decision making. She presents the good and the bad: AI is good at processing vast quantities of data that humans cannot—but it’s bad at making judgments about people. AI is accurate at sifting through billions of websites to offer up the best results for our search queries and it has beaten reigning champions in games of chess and Go. But, drawing on her own research, Zweig shows how inaccurate AI is, for example, at predicting whether someone with a previous conviction will become a repeat offender. It’s no better than simple guesswork, and yet it’s used to determine people’s futures. Zweig introduces readers to the basics of AI and presents a toolkit for designing AI systems. She explains algorithms, big data, and computer intelligence, and how they relate to one another. Finally, she explores the ethics of AI and how we can shape the process. With Awkward Intelligence. Zweig equips us to confront the biggest question concerning AI: where we should use it—and where we should not.

What Do We Know and What Should We Do About AI?

Author : Ewa Luger
Publisher : SAGE
Page : 113 pages
File Size : 50,8 Mb
Release : 2022-11-23
Category : Social Science
ISBN : 9781529600988

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What Do We Know and What Should We Do About AI? by Ewa Luger Pdf

The idea of Artificial Intelligence (AI) has taken the world by storm. From fears over killer robots in sci-fi dystopias, to driverless cars in real life, we are both inspired and horrified by the prospect of an advanced intelligence that is not our own. Could AI take over the world? Will it take all of our jobs? Has Google really created a sentient chatbot, and is AI racing towards human intelligence, or is it just horribly misunderstood? These common questions point us towards an unknown and troubling future. What we do know is that we are in the midst of a hype cycle, with huge amounts of funding and focus galvanising progress. Whether AI truly lives up to this hype remains to be seen, but this once niche idea has suddenly evolved into a global multibillion dollar industry. In this short and accessible book, Ewa Luger explains what we mean when we talk about AI, explores how we got here, describes what we are doing about it, where the field is heading, and where we should go next. ABOUT THE SERIES: The ‘What Do We Know and What Should We Do About...?′ series offers readers short, up-to-date overviews of key issues often misrepresented, simplified or misunderstood in modern society and the media. Each book is written by a leading social scientist with an established reputation in the relevant subject area. The Series Editor is Professor Chris Grey, Royal Holloway, University of London

What Would AI Do? Volume 1

Author : J.B. Juliano
Publisher : Leanpub
Page : 326 pages
File Size : 54,9 Mb
Release : 2024-05-08
Category : Fiction
ISBN : 9798866796588

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What Would AI Do? Volume 1 by J.B. Juliano Pdf

Get ready for intellectually stimulating conversations with AI that take a deep dive into uncharted territories of human moral dilemmas and ethics. Explore a series of thought-provoking short stories and challenging moral scenarios, and witness how AI makes moral decisions in these dilemmas. About the Book "What Would AI Do?" takes on a fascinating experiment, casting AI as the protagonist and immersing it in the intricacies of the human experience to keenly observe its actions. The book explores a series of thought-provoking scenarios, each presenting complex ethical dilemmas and decision-making challenges. These scenarios are crafted as AI prompts, skillfully designed to stimulate critical thinking and provide insight into how AI might navigate difficult situations. Delving into hypothetical scenarios with specific options available to AI, the book offers an objective means of evaluating the AI agent's performance in handling these challenges. Each scenario presents options with a detailed breakdown of pros and cons, enriched by real-world examples. This approach introduces greater complexity, aiming to assess whether AI could be influenced or compromised in its decision-making. The book assesses the AI's evaluation in the “What Would AI Do?” section, providing an overall assessment that concludes each scenario. This book caters to readers interested in artificial intelligence, ethics, and the examination of moral dilemmas in AI decision-making. The book also appeals to tech enthusiasts, AI researchers, philosophers, and those curious about the relationship between AI and ethics. Encouraging reflection on AI's responses to challenging scenarios, it provides a unique perspective on the intersection of morality and technology. How to Play "What Would AI Do?" can be a fun social game to be played with friends, as it allows the reader to reflect what they are going to do in the scenario. And at the end of each chapter, AI will present a "socially acceptable" and sound response, which can be considered as a "somewhat right" validated answer. The book explores a series of thought-provoking story scenarios, each presenting complex ethical dilemmas and decision-making challenges. These scenarios are crafted as a short story, designed to be fun, entertaining and to stimulate critical thinking. The scenarios are also used as an AI prompt, which are used in the later section to provide insight into how AI might navigate difficult situations, as each scenarios have at least 3 to 5 difficult options to choose from, giving readers insight on how AI use it's moral compass in handling these challenges. Finally, the book asks the readers to reflect what they are going to do in the scenario. After reading the short story, each readers are encouraged to pause and reflect on the "What Would You Do?" section and choosing one of the options and explaining why, before presenting the AI's evaluation in the “What Would AI Do?” section, that provides an overall assessment of the scenario.

Artificial intelligence - When do machines take over?

Author : Klaus Mainzer
Publisher : Springer Nature
Page : 279 pages
File Size : 40,9 Mb
Release : 2019-10-14
Category : Technology & Engineering
ISBN : 9783662597170

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Artificial intelligence - When do machines take over? by Klaus Mainzer Pdf

Everybody knows them. Smartphones that talk to us, wristwatches that record our health data, workflows that organize themselves automatically, cars, airplanes and drones that control themselves, traffic and energy systems with autonomous logistics or robots that explore distant planets are technical examples of a networked world of intelligent systems. Machine learning is dramatically changing our civilization. We rely more and more on efficient algorithms, because otherwise we will not be able to cope with the complexity of our civilizing infrastructure. But how secure are AI algorithms? This challenge is taken up in the 2nd edition: Complex neural networks are fed and trained with huge amounts of data (big data). The number of necessary parameters explodes exponentially. Nobody knows exactly what is going on in these "black boxes". In machine learning we need more explainability and accountability of causes and effects in order to be able to decide ethical and legal questions of responsibility (e.g. in autonomous driving or medicine)! Besides causal learning, we also analyze procedures of tests and verification to get certified AI-programs. Since its inception, AI research has been associated with great visions of the future of mankind. It is already a key technology that will decide the global competition of social systems. "Artificial Intelligence and Responsibility" is another central supplement to the 2nd edition: How should we secure our individual liberty rights in the AI world? This book is a plea for technology design: AI must prove itself as a service in society.

Artificial Intelligence

Author : Harvard Business Review
Publisher : HBR Insights
Page : 160 pages
File Size : 44,8 Mb
Release : 2019
Category : Business & Economics
ISBN : 1633697894

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Artificial Intelligence by Harvard Business Review Pdf

Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

The AI Advantage

Author : Thomas H. Davenport
Publisher : MIT Press
Page : 243 pages
File Size : 46,8 Mb
Release : 2019-08-06
Category : Business & Economics
ISBN : 9780262538008

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The AI Advantage by Thomas H. Davenport Pdf

Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

The Promise of Artificial Intelligence

Author : Brian Cantwell Smith
Publisher : MIT Press
Page : 179 pages
File Size : 40,7 Mb
Release : 2019-10-08
Category : Computers
ISBN : 9780262355216

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The Promise of Artificial Intelligence by Brian Cantwell Smith Pdf

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.