Weapons of math destruction : how big data increases inequality and threatens democracy / Cathy O'Neil
By: O'Neil, Cathy
Material type:
E-bookPublisher: New York : Crown, [2016]Edition: First edition.Description: 1 recurso enlínea.ISBN: 9780553418811 (hardcover); 9780553418835 (softcover).Subject: Datos masivos
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | QA76.9 .B45 O64 2016 EB (Browse shelf(Opens below)) | .i11681561 | Acceso electrónico | eBOOK .i11681561 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| QA76.9.B45 G853 2018 EB Guide to Big Data Applications | QA76.9.B45 H544 2018 EB Highlighting the Importance of Big Data Management and Analysis for Various Applications | QA76.9 .B45 N494 2016 EB New Horizons for a Data-Driven Economy : A Roadmap for Usage and Exploitation of Big Data in Europe | QA76.9 .B45 O64 2016 EB Weapons of math destruction : how big data increases inequality and threatens democracy | QA76.9.B45 R476 2016 EB Resource Management for Big Data Platforms : Algorithms, Modelling, and High-Performance Computing Techniques | QA76.9 .B45 R63 2020 EB Big data para científicos sociales : una introducción | QA76.9.B45 S257 2016 EB Big Data 2.0 Processing Systems : A Survey |
Incluye referencias bibliográficas (páginas 219-252) e índices
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
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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