Humans Vs Computers PDF Download

Author: Gojko Adzic
Publisher:
ISBN: 9780993088148
Category :
Languages : en
Pages :

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Book Description
Humans vs Computers is a book about ordinary people caught between wrong assumptions and computer bugs. You'll read about humans who are invisible to computers, how a default password caused a zombie apocalypse and why airlines sometimes give away free tickets. This is also a book on how to prevent, avoid and reduce the impact of such problems.

Author: Erik J. Larson
Publisher: Harvard University Press
ISBN: 0674983513
Category : Computers
Languages : en
Pages : 321

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Book Description
“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: Jean-pierre Fillard
Publisher: World Scientific
ISBN: 9811225028
Category : Computers
Languages : en
Pages : 323

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Book Description
In this follow up to Brain vs Computer: The Challenge of the Century, Jean-Pierre Fillard brings together diverse perspectives to address the recurring theme of rivalry between man and machine.Accelerated by recent events such as the Covid-19 pandemic that caught the world by surprise and brought it to a standstill, the use of technology has become more relevant than ever. What new conclusions can we draw in this debate featuring humans (brain) on the one side, and artificial intelligence (computer) on the other? Featuring brand new content including a complementary perspective from the arts, the author balances the argument from the traditional scientific approach of logic, rationality, and computation with instinct, intuition, and emotion. Read together with his latest offerings Longevity in a 2.0 World and Transhumanism: A Realistic Future? this trilogy culminates in an attempt to answer one of the most exciting questions of our time.

Author: Brian Christian
Publisher: Anchor
ISBN: 0307476707
Category : Psychology
Languages : en
Pages : 322

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Book Description
A playful, profound book that is not only a testament to one man's efforts to be deemed more human than a computer, but also a rollicking exploration of what it means to be human in the first place. “Terrific. ... Art and science meet an engaged mind and the friction produces real fire.” —The New Yorker Each year, the AI community convenes to administer the famous (and famously controversial) Turing test, pitting sophisticated software programs against humans to determine if a computer can “think.” The machine that most often fools the judges wins the Most Human Computer Award. But there is also a prize, strange and intriguing, for the “Most Human Human.” Brian Christian—a young poet with degrees in computer science and philosophy—was chosen to participate in a recent competition. This

Author: Oliver Roeder
Publisher: W. W. Norton & Company
ISBN: 1324003782
Category : History
Languages : en
Pages : 326

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Book Description
A group biography of seven enduring and beloved games, and the story of why—and how—we play them. Checkers, backgammon, chess, and Go. Poker, Scrabble, and bridge. These seven games, ancient and modern, fascinate millions of people worldwide. In Seven Games, Oliver Roeder charts their origins and historical importance, the delightful arcana of their rules, and the ways their design makes them pleasurable. Roeder introduces thrilling competitors, such as evangelical minister Marion Tinsley, who across forty years lost only three games of checkers; Shusai, the Master, the last Go champion of imperial Japan, defending tradition against “modern rationalism”; and an IBM engineer who created a backgammon program so capable at self-learning that NASA used it on the space shuttle. He delves into the history and lore of each game: backgammon boards in ancient Egypt, the Indian origins of chess, how certain shells from a particular beach in Japan make the finest white Go stones. Beyond the cultural and personal stories, Roeder explores why games, seemingly trivial pastimes, speak so deeply to the human soul. He introduces an early philosopher of games, the aptly named Bernard Suits, and visits an Oxford cosmologist who has perfected a computer that can effectively play bridge, a game as complicated as human language itself. Throughout, Roeder tells the compelling story of how humans, pursuing scientific glory and competitive advantage, have invented AI programs better than any human player, and what that means for the games—and for us. Funny, fascinating, and profound, Seven Games is a story of obsession, psychology, history, and how play makes us human.

Author: Ben Shneiderman
Publisher: Oxford University Press
ISBN: 0192845292
Category : Computers
Languages : en
Pages : 390

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Book Description
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.

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

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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.

Author: David Alan Grier
Publisher: Princeton University Press
ISBN: 1400849365
Category : Science
Languages : en
Pages : 423

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Book Description
Before Palm Pilots and iPods, PCs and laptops, the term "computer" referred to the people who did scientific calculations by hand. These workers were neither calculating geniuses nor idiot savants but knowledgeable people who, in other circumstances, might have become scientists in their own right. When Computers Were Human represents the first in-depth account of this little-known, 200-year epoch in the history of science and technology. Beginning with the story of his own grandmother, who was trained as a human computer, David Alan Grier provides a poignant introduction to the wider world of women and men who did the hard computational labor of science. His grandmother's casual remark, "I wish I'd used my calculus," hinted at a career deferred and an education forgotten, a secret life unappreciated; like many highly educated women of her generation, she studied to become a human computer because nothing else would offer her a place in the scientific world. The book begins with the return of Halley's comet in 1758 and the effort of three French astronomers to compute its orbit. It ends four cycles later, with a UNIVAC electronic computer projecting the 1986 orbit. In between, Grier tells us about the surveyors of the French Revolution, describes the calculating machines of Charles Babbage, and guides the reader through the Great Depression to marvel at the giant computing room of the Works Progress Administration. When Computers Were Human is the sad but lyrical story of workers who gladly did the hard labor of research calculation in the hope that they might be part of the scientific community. In the end, they were rewarded by a new electronic machine that took the place and the name of those who were, once, the computers.

Author: Brian Christian
Publisher: Anchor
ISBN: 0385533071
Category : Psychology
Languages : en
Pages : 322

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Book Description
A playful, profound book that is not only a testament to one man's efforts to be deemed more human than a computer, but also a rollicking exploration of what it means to be human in the first place. “Terrific. ... Art and science meet an engaged mind and the friction produces real fire.” —The New Yorker Each year, the AI community convenes to administer the famous (and famously controversial) Turing test, pitting sophisticated software programs against humans to determine if a computer can “think.” The machine that most often fools the judges wins the Most Human Computer Award. But there is also a prize, strange and intriguing, for the “Most Human Human.” Brian Christian—a young poet with degrees in computer science and philosophy—was chosen to participate in a recent competition. This

Author: Meredith Broussard
Publisher: MIT Press
ISBN: 026253701X
Category : Computers
Languages : en
Pages : 247

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Book Description
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.