What Machines Cant Do

Author : Robert J. Thomas
Publisher : Univ of California Press
ISBN 13 : 9780520915077
Total Pages : 340 pages
Book Rating : 4.70/5 ( download)

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Download or read book What Machines Can't Do written by Robert J. Thomas and published by Univ of California Press. This book was released on 1994-03-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtually every manufacturing company has plans for an automated "factory of the future." But Robert J. Thomas argues that smart machines may not hold the key to an industrial renaissance. In this provocative and enlightening book, he takes us inside four successful manufacturing enterprises to reveal the social and political dynamics that are an integral part of new production technology. His interviews with nearly 300 individuals, from top corporate executives to engineers to workers and union representatives, give his study particular credibility and offer surprising insights into the organizational power struggles that determine the form and performance of new technologies. Thomas urges managers not to put blind hopes into smarter machines but to find smarter ways to organize people. As U.S. companies battle for survival in an era of growing global competition, What Machines Can't Do is an invaluable treatise on the ways we organize work. While its call for change is likely to be controversial, it will also attract anyone who wishes to understand the full impact of new technology on jobs, organizations, and the future of the industrial enterprise.

Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674983513
Total Pages : 321 pages
Book Rating : 4.19/5 ( download)

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Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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.

Author : Professor of Philosophy Hubert L Dreyfus
Publisher : Franklin Classics
ISBN 13 : 9780343259358
Total Pages : 308 pages
Book Rating : 4.54/5 ( download)

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Download or read book What Computers Cant Do written by Professor of Philosophy Hubert L Dreyfus and published by Franklin Classics. This book was released on 2018-10-15 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Author : Malcolm Frank
Publisher : John Wiley & Sons
ISBN 13 : 1119278678
Total Pages : 256 pages
Book Rating : 4.72/5 ( download)

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Download or read book What To Do When Machines Do Everything written by Malcolm Frank and published by John Wiley & Sons. This book was released on 2017-01-18 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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.

Author : Toby Walsh
Publisher : La Trobe University Press
ISBN 13 : 1743822332
Total Pages : 244 pages
Book Rating : 4.33/5 ( download)

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Download or read book Machines Behaving Badly written by Toby Walsh and published by La Trobe University Press. This book was released on 2022-05-03 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is an essential part of our lives – for better or worse. It can be used to influence what we buy, who gets shortlisted for a job and even how we vote. Without AI, medical technology wouldn’t have come so far, we’d still be getting lost on backroads in our GPS-free cars, and smartphones wouldn’t be so, well, smart. But as we continue to build more intelligent and autonomous machines, what impact will this have on humanity and the planet? Professor Toby Walsh, a world-leading researcher in the field of artificial intelligence, explores the ethical considerations and unexpected consequences AI poses – Is Alexa racist? Can robots have rights? What happens if a self-driving car kills someone? What limitations should we put on the use of facial recognition? Machines Behaving Badly is a thought-provoking look at the increasing human reliance on robotics and the decisions that need to be made now to ensure the future of AI is as a force for good, not evil.

Author : Meredith Broussard
Publisher : MIT Press
ISBN 13 : 026253701X
Total Pages : 247 pages
Book Rating : 4.18/5 ( download)

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Download or read book Artificial Unintelligence written by Meredith Broussard and published by MIT Press. This book was released on 2019-01-29 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

Author : Kevin Roose
Publisher : Random House
ISBN 13 : 0593133358
Total Pages : 273 pages
Book Rating : 4.54/5 ( download)

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Download or read book Futureproof written by Kevin Roose and published by Random House. This book was released on 2021-03-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical, deeply reported survival guide for the age of AI, written by the New York Times tech columnist who has introduced millions to the promise and pitfalls of artificial intelligence. “Artificial intelligence can be terrifying, but Kevin Roose provides a clear, compelling strategy for surviving the next wave of technology with our jobs—and souls—intact.”—Charles Duhigg, author of The Power of Habit It’s time to get real about AI. After decades of hype and sci-fi fantasies, AI—artificial intelligence—is leaping out of research labs and into the center of our lives. Millions of people now use tools like ChatGPT and DALL-E 2 to write essays, create art and finish coding projects. AI programs are already beating humans in fields like law, medicine and entertainment, and they’re getting better every day. But AI doesn’t just threaten our jobs. It shapes our entire human experience, steering our behavior and influencing our choices about which TV shows to watch, which clothes to buy, and which politicians to vote for. And while many experts argue about whether a robot apocalypse is near, one critical question has gone unanswered: In a world where AI is ascendant, how can humans survive and thrive? In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose shares the secrets of people and organizations that have successfully navigated waves of technological change, and explains what skills are necessary to stay ahead of the curve today, 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 compete with AI, we have to become more like robots 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 algorithms can’t do.

Author : Hubert L. Dreyfus
Publisher : MIT Press
ISBN 13 : 9780262540674
Total Pages : 412 pages
Book Rating : 4.73/5 ( download)

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Download or read book What Computers Still Can't Do written by Hubert L. Dreyfus and published by MIT Press. This book was released on 1992-10-30 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although several believers still pursue its pot of gold), and the focus of the Al community has shifted to more complex models of the mind. It has also become more common for AI researchers to seek out and study philosophy. For this edition of his now classic book, Dreyfus has added a lengthy new introduction outlining these changes and assessing the paradigms of connectionism and neural networks that have transformed the field. At a time when researchers were proposing grand plans for general problem solvers and automatic translation machines, Dreyfus predicted that they would fail because their conception of mental functioning was naive, and he suggested that they would do well to acquaint themselves with modern philosophical approaches to human beings. What Computers Can't Do was widely attacked but quietly studied. Dreyfus's arguments are still provocative and focus our attention once again on what it is that makes human beings unique.

Author : Cesar A. Hidalgo
Publisher : MIT Press
ISBN 13 : 026236252X
Total Pages : 257 pages
Book Rating : 4.28/5 ( download)

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Download or read book How Humans Judge Machines written by Cesar A. Hidalgo and published by MIT Press. This book was released on 2021-02-02 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance? How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer tounderstanding the ethical consequences of AI.

Author : Stuart Jonathan Russell
Publisher : Penguin Books
ISBN 13 : 0525558616
Total Pages : 354 pages
Book Rating : 4.13/5 ( download)

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Download or read book Human Compatible written by Stuart Jonathan Russell and published by Penguin Books. This book was released on 2019 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.