Weapons of math destruction : how big data increases inequality and threatens democracy
(Book)
Author
Published
New York : Crown, [2016].
Edition
First edition.
Physical Desc
x, 259 pages ; 22 cm
Appears on list
Status
PCPLS - Kouts Public Library - Adult Nonfiction
005.7 ONEIL
1 available
005.7 ONEIL
1 available
PCPLS - Valparaiso Public Library - Adult Nonfiction
005.7 ONEIL
1 available
005.7 ONEIL
1 available
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Copies
Location | Call Number | Status |
---|---|---|
PCPLS - Kouts Public Library - Adult Nonfiction | 005.7 ONEIL | On Shelf |
PCPLS - Valparaiso Public Library - Adult Nonfiction | 005.7 ONEIL | On Shelf |
Location | Call Number | Status |
---|---|---|
Fulton Co PL - Rochester Main Library - Nonfiction | 005.7 ONE | On Shelf |
Greenwood PL - Greenwood - 2nd Floor Adult Nonfiction | SOCIAL TOPICS TECHNOLOGY O'Neil | On Shelf |
Hussey-Mayfield Mem. PL - Zionsville - Adult Nonfiction | 005.7 O'NEIL | On Shelf |
Lowell PL - Lowell - Adult Nonfiction | 005.7 ONEIL | On Shelf |
Plainfield-Guilford Twp PL - Plainfield - Non-Fiction | 005.7 O'Neil | On Shelf |
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More Details
Published
New York : Crown, [2016].
Format
Book
Edition
First edition.
Language
English
Notes
Bibliography
Includes bibliographical references (pages 219-252) and index.
Description
We live in the age of the algorithm. Increasingly, the decisions that affect our lives -- where we go to school, whether we get a car loan, how much we pay for health insurance -- are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil reveals in this book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of Big Data. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These 'weapons of math destruction' score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives.
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Citations
APA Citation, 7th Edition (style guide)
O'Neil, C. (2016). Weapons of math destruction: how big data increases inequality and threatens democracy (First edition.). Crown.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)O'Neil, Cathy. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)O'Neil, Cathy. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy Crown, 2016.
MLA Citation, 9th Edition (style guide)O'Neil, Cathy. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy First edition., Crown, 2016.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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