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Artificial Unintelligence

Artificial Unintelligence
作者:Meredith Broussard
副标题:How Computers Misunderstand the World
出版社:MIT Press
出版年:2018-04
ISBN:9780262038003
行业:其它
浏览数:39

内容简介

Overview

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.

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作者简介

Meredith Broussard is an Assistant Professor in the Arthur L. Carter Journalism Institute at New York University. A former features editor at the Philadelphia Inquirer and software developer at AT&T Bell Labs and the MIT Media Lab, she has written articles and essays for the Atlantic, Harper’s, Slate, the Washington Post, and other publications.

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目录

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读书文摘

Given enough training data, algorithms indeed will do a good job at a variety of mundane tasks, and human ingenuity usually fills in the blanks.

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