The Resource Weapons of math destruction : how big data increases inequality and threatens democracy, Cathy O'Neil
Weapons of math destruction : how big data increases inequality and threatens democracy, Cathy O'Neil
Resource Information
The item Weapons of math destruction : how big data increases inequality and threatens democracy, Cathy O'Neil represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Waubonsee Community College.This item is available to borrow from 1 library branch.
Resource Information
The item Weapons of math destruction : how big data increases inequality and threatens democracy, Cathy O'Neil represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Waubonsee Community College.
This item is available to borrow from 1 library branch.
- Summary
- 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
- Language
- eng
- Edition
- First edition.
- Extent
- x, 259 pages
- Contents
-
- Bomb parts: What is a model?
- Shell shocked: My journey of disillusionment
- Arms race: Going to college
- Propaganda machine: Online advertising
- Civilian casualties: Justice in the age of big data
- Ineligible to serve: Getting a job
- Sweating bullets: On the job
- Collateral damage: Landing credit
- No safe zone: Getting insurance
- The targeted citizen: Civic life
- Isbn
- 9780553418835
- Label
- Weapons of math destruction : how big data increases inequality and threatens democracy
- Title
- Weapons of math destruction
- Title remainder
- how big data increases inequality and threatens democracy
- Statement of responsibility
- Cathy O'Neil
- Subject
-
- Big data -- Political aspects -- United States
- Big data -- Social aspects -- United States
- Democracy -- United States
- Demokratie
- Massendaten
- POLITICAL SCIENCE -- Public Policy
- POLITICAL SCIENCE -- Public Policy | General
- SOCIAL SCIENCE -- Privacy & Surveillance
- 2000-2099
- Social conditions
- Social indicators -- Mathematical models | Moral and ethical aspects
- Soziale Ungleichheit
- Umschulungswerkstätten für Siedler und Auswanderer
- United States
- United States -- Social conditions -- 21st century
- SOCIAL SCIENCE -- Privacy & Surveillance (see also POLITI
- BUSINESS & ECONOMICS -- Statistics
- Language
- eng
- Summary
- 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
- Cataloging source
- DLC
- http://library.link/vocab/creatorName
- O'Neil, Cathy
- Dewey number
- 005.7
- Index
- index present
- LC call number
- QA76.9.B45
- LC item number
- O64 2016
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/subjectName
-
- Umschulungswerkstätten für Siedler und Auswanderer
- Big data
- Big data
- Social indicators
- Democracy
- United States
- United States
- POLITICAL SCIENCE
- SOCIAL SCIENCE
- BUSINESS & ECONOMICS
- POLITICAL SCIENCE
- SOCIAL SCIENCE
- Massendaten
- Soziale Ungleichheit
- Demokratie
- Social conditions
- United States
- Label
- Weapons of math destruction : how big data increases inequality and threatens democracy, Cathy O'Neil
- Bibliography note
- Includes bibliographical references (pages 219-252) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Bomb parts: What is a model? -- Shell shocked: My journey of disillusionment -- Arms race: Going to college -- Propaganda machine: Online advertising -- Civilian casualties: Justice in the age of big data -- Ineligible to serve: Getting a job -- Sweating bullets: On the job -- Collateral damage: Landing credit -- No safe zone: Getting insurance -- The targeted citizen: Civic life
- Control code
- ocn932385614
- Dimensions
- 22 cm
- Edition
- First edition.
- Extent
- x, 259 pages
- Isbn
- 9780553418835
- Isbn Type
- (softcover)
- Lccn
- 2016003900
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- System control number
-
- (Sirsi) i9780553418811
- (OCoLC)932385614
- Label
- Weapons of math destruction : how big data increases inequality and threatens democracy, Cathy O'Neil
- Bibliography note
- Includes bibliographical references (pages 219-252) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Bomb parts: What is a model? -- Shell shocked: My journey of disillusionment -- Arms race: Going to college -- Propaganda machine: Online advertising -- Civilian casualties: Justice in the age of big data -- Ineligible to serve: Getting a job -- Sweating bullets: On the job -- Collateral damage: Landing credit -- No safe zone: Getting insurance -- The targeted citizen: Civic life
- Control code
- ocn932385614
- Dimensions
- 22 cm
- Edition
- First edition.
- Extent
- x, 259 pages
- Isbn
- 9780553418835
- Isbn Type
- (softcover)
- Lccn
- 2016003900
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- System control number
-
- (Sirsi) i9780553418811
- (OCoLC)932385614
Subject
- Big data -- Political aspects -- United States
- Big data -- Social aspects -- United States
- Democracy -- United States
- Demokratie
- Massendaten
- POLITICAL SCIENCE -- Public Policy
- POLITICAL SCIENCE -- Public Policy | General
- SOCIAL SCIENCE -- Privacy & Surveillance
- 2000-2099
- Social conditions
- Social indicators -- Mathematical models | Moral and ethical aspects
- Soziale Ungleichheit
- Umschulungswerkstätten für Siedler und Auswanderer
- United States
- United States -- Social conditions -- 21st century
- SOCIAL SCIENCE -- Privacy & Surveillance (see also POLITI
- BUSINESS & ECONOMICS -- Statistics
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.waubonsee.edu/portal/Weapons-of-math-destruction--how-big-data/Ef-6NqKwB0o/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.waubonsee.edu/portal/Weapons-of-math-destruction--how-big-data/Ef-6NqKwB0o/">Weapons of math destruction : how big data increases inequality and threatens democracy, Cathy O'Neil</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.waubonsee.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.waubonsee.edu/">Waubonsee Community College</a></span></span></span></span></div>
