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Technically wrong: sexist apps, biased algorithms, and other threats of toxic tech
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Published:
New York : W.W. Norton & Company, [2017].
Physical Desc:
232 pages : illustrations ; 22 cm
Status:
Arcade
303.4834 W114 2017
Central
303.4834 W114 2017
Fair Oaks
303.4834 W114 2017
Description
Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us ask how all these digital products are designed, or why. It's time we change that. Many of the services we rely on are full of oversights, biases, and downright ethical nightmares. Chatbots that harass women. Signup forms that fail anyone who's not straight. Social media sites that send peppy messages about dead relatives. Algorithms that put more black people behind bars. Technically Wrong takes an unflinching look at the values, processes, and assumptions that lead to these problems and more. Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use-and demand more from the companies behind them.
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Arcade
303.4834 W114 2017
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Central
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Fair Oaks
303.4834 W114 2017
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Format:
Book
Edition:
First edition.
Language:
English
ISBN:
9780393634631

Notes

Bibliography
Includes bibliographical references (pages 203-222) and index.
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Citations
APA Citation (style guide)

Wachter-Boettcher, S. (2017). Technically wrong: sexist apps, biased algorithms, and other threats of toxic tech. First edition. New York, W.W. Norton & Company.

Chicago / Turabian - Author Date Citation (style guide)

Wachter-Boettcher, Sara. 2017. Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech. New York, W.W. Norton & Company.

Chicago / Turabian - Humanities Citation (style guide)

Wachter-Boettcher, Sara, Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech. New York, W.W. Norton & Company, 2017.

MLA Citation (style guide)

Wachter-Boettcher, Sara. Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech. First edition. New York, W.W. Norton & Company, 2017.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Grouped Work ID:
1e490114-f6f9-db38-832e-24703f664501
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Record Information

Last Sierra Extract TimeApr 06, 2024 07:16:48 PM
Last File Modification TimeApr 06, 2024 07:17:15 PM
Last Grouped Work Modification TimeApr 19, 2024 02:10:42 AM

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5050 |a Welcome to the machine -- Culture misfit -- Normal people -- Select one -- Delighted to death -- Tracked, tagged, and targeted -- Algorithmic inequity -- Built to break -- Meritocracy now, meritocracy forever -- Technically dangerous.
650 0|a System failures (Engineering)
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