Weapons of math destruction: how big data increases inequality and threatens democracy (2024)

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Weapons of math destruction: how big data increases inequality and threatens democracy (1)

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Englisch [en], .epub, 🚀/lgli/lgrs/zlib, 0.5MB, 📘 Buch (Sachbuch), lgli/Z:\Bibliotik_\1\62.3.65.234\Weapons of Math Destruction - Cathy O_2527Neil_4144.epub

Weapons of math destruction: how big data increases inequality and threatens democracy 🔍

Penguin Books Ltd, 2016

O'Neil, Cathy 🔍

Beschreibung

A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric
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 urgent and necessary 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 co*cktail 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 rĂ©sumĂ©s, 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. This important book empowers us to ask the tough questions, uncover the truth, and demand change.
— Longlist for National Book Award (Non-Fiction)
— Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology)
— Kirkus, Best Books of 2016
— New York Times, 100 Notable Books of 2016 (Non-Fiction)
— The Guardian, Best Books of 2016
— WBUR’s “On Point,” Best Books of 2016: Staff Picks
— Boston Globe, Best Books of 2016, Non-Fiction

Kommentare in Metadaten

lg2672136

Alternativtitel

Weapons of math destruction : how big data increases inequality and threatens democracy

Alternativer Autor

Cathy O'neil

Alternativer Verlag

Penguin Books, Limited

Alternativer Verlag

Penguin Uk

Alternativer Verlag

Allen Lane

Alternative Ausgabe

London, 2016

Alternative Ausgabe

UK, 2017

Alternative Beschreibung

Long-listed for the National Book Award A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life? and threaten to rip apart our social fabric 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 urgent and necessary 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 co*cktail 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 r?sum?s, 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. This important book empowers us to ask the tough questions, uncover the truth, and demand change. From the Hardcover edition

Alternative Beschreibung

A Former Wall Street Quant Sounds An Alarm On The Mathematical Models That Pervade Modern Life - And Threaten To Rip Apart Our Social Fabric We Live In The Age Of The Algorithm. Increasingly, The Decisions That Affect Our Lives - Where We Go To School, Whether We Get A Loan, How Much We Pay For 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. And Yet, As Cathy O'neil Reveals In This Urgent And Necessary Book, The Opposite Is True. The Models Being Used Today Are Opaque, Unregulated, And Incontestable, Even When They're Wrong. Most Troubling, They Reinforce Discrimination. 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 Cvs, Grant Or Deny Loans, Evaluate Workers, Target Voters, And Monitor Our Health. O'neil Calls On Modellers 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. This Important Book Empowers Us To Ask The Tough Questions, Uncover The Truth, And Demand Change.

Alternativer Dateiname

lgrsnf/Z:\Bibliotik_\1\62.3.65.234\Weapons of Math Destruction - Cathy O_2527Neil_4144.epub

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2020-07-26 — oclc_scrape: 2023-10-01, ol_source: 2022-07-18, isbndb_scrape: 2022-09-01, lgli_source: 2020-07-26, zlib_source: 2020-10-10, lgrsnf_source: 2020-07-26

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ISBN-13978-0-553-41882-8 ISBN-13978-0-14-198542-8 ISBN-100-553-41882-3 ISBN-100-14-198542-9 OCLC/WorldCat1310421932 OCLC/WorldCat1004974769 OCLC/WorldCat958120490 Open LibraryOL38807405M Open LibraryOL17840708W Collectionisbndb Collectionworldcat Collectionlibgen_li Collectionzlib Collectionopenlib Collectionlibgen_rs Libgen.rs Non-Fiction2736367 MD5403520DE40B26727A08046C81EDF874C MD5403520de40b26727a08046c81edf874c Z-Library5956609 Libgen.li File93652173 Libgen.li libgen_id2672136 Filepathlgli/Z:\Bibliotik_\1\62.3.65.234\Weapons of Math Destruction - Cathy O_2527Neil_4144.epub Filepathlgrsnf/Z:\Bibliotik_\1\62.3.65.234\Weapons of Math Destruction - Cathy O_2527Neil_4144.epub Torrentexternal/libgen_rs_non_fic/r_2736000.torrent Server Pathe/lgrsnf/2736000/403520de40b26727a08046c81edf874c

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Weapons of math destruction: how big data increases inequality and threatens democracy (2024)

FAQs

What is the argument in the Weapons of Math Destruction? â€ș

Weapons of Math Destruction by Cathy O'Neil exposes the ways in which flawed mathematical models are increasingly used to evaluate people, as well as promote inequality and other harmful outcomes. It reveals the destructive consequences of relying solely on algorithms for critical decisions.

What are the weapons of math deception? â€ș

WMDs, or Weapons of Math Destruction, are mathematical algorithms that supposedly take human traits and quantify them, resulting in damaging effects and the perpetuation of bias against certain groups of people.

What are the three elements of WMD? â€ș

The Idea of a “Weapon of Math Destruction”

According to O'Neil, WMDs are mathematical models that have three characteristics: opacity, scale and damage.

Is the use of weapons of mass destruction ever justified? â€ș

“No.

The dropping of the atomic bomb on Hiroshima was justified at the time as being moral – in order to bring about a more rapid victory and prevent the deaths of more Americans. However, it was clearly not moral to use this weapon knowing that it would kill civilians and destroy the urban milieu.

Is there any evidence of God in math? â€ș

Can math actually prove the existence of God 100% or it is all just abstract? Can it prove the existence of something divine? No, it cannot. But mathematics, or rather formal logic, can verify whether God's existence follows from the premises you adopt, which is what Gödel did with his argument.

What is opacity in Weapons of Math Destruction? â€ș

Opacity. A destructive model is opaque, you don`t know what information is being used or what logic is being implemented to judge you, you only see the result – a `yes` or a `no`.

What is the argument for lethal autonomous weapons? â€ș

The lack of human deliberation, they argue, means that an attack by an autonomous weapon is arbitrary and unaccountable. Further, they contend that these weapons will limit freedom, reduce the quality of life, and create suffering. These arguments are unpersuasive.

What is the explanation of weapons of mass destruction? â€ș

A weapon of mass destruction is a nuclear, radiological, chemical, biological, or other device that is intended to harm a large number of people. The Department of Homeland Security works every day to prevent terrorists and other threat actors from using these weapons to harm Americans.

What is the argument for God in math? â€ș

Gödel's ontological proof uses mathematical logic to show that the existence of God is a necessary truth. “God” in Gödel's proof is defined as a “Godlike object”. In order for an object to be “Godlike”, it must have every good or positive property. Also, a Godlike object has no negative properties.

What is the argument of gun germs and steel? â€ș

Summary. Diamond argues that Eurasian civilization is not so much a product of ingenuity, but of opportunity and necessity. That is, civilization is not created out of superior intelligence, but is the result of a chain of developments, each made possible by certain preconditions.

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