Angriff der Algorithmen | Buch, Verlag und Erscheinungsjahr

Angriff der Algorithmen: Inhalt, Einordnung und bibliografische Details

Angriff der Algorithmen ist ein Werk von Cathy O'Neil, das innerhalb der Kategorie Sachbuch eingeordnet wird und bereits durch seine klare thematische Ausrichtung überzeugt. Der Untertitel Wie sie Wahlen manipulieren, Berufschancen zerstören und unsere Gesundheit gefährden ergänzt den Haupttitel Angriff der Algorithmen sinnvoll und gibt bereits früh einen konkreten Hinweis auf die inhaltliche Ausrichtung des Buches. Die vorhandene Beschreibung macht deutlich, worauf Angriff der Algorithmen den Fokus legt: 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 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. 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

Warum Angriff der Algorithmen relevant sein kann

Gerade wer nach Werken von Cathy O'Neil sucht, sollte Angriff der Algorithmen näher betrachten. Die Ausgabe ist in Deutsch verfügbar und damit gezielt für Leserinnen und Leser mit entsprechender Sprachpräferenz interessant. Durch die Zuordnung zur Kategorie Sachbuch wird Angriff der Algorithmen auch für thematische Recherchen besonders relevant. Mit dem Erscheinungszeitpunkt 21.08.2017 lässt sich Angriff der Algorithmen sauber in einen bibliografischen Kontext einordnen.

Inhalte, Themen und Relevanz

Im thematischen Kontext von Sachbuch setzt Angriff der Algorithmen laut Beschreibung auf folgende Schwerpunkte: 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 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. 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 Über die Schlagwörter Political aspects, Social conditions, Mathematical models, Social aspects, Moral and ethical aspects, New York Times bestseller, Mathematics, Human behavior, Social indicators, Conditions sociales, Algorithms, Aspect social, Aspect politique, Modèles mathématiques, Indicateurs sociaux, Computer algorithms, math, inequality, award:euler_book_prize, nyt:education=2016-10-09, Human behavior, mathematical models, Computers, social aspects, Données volumineuses, Aspect moral, Data Modeling & Design lässt sich Angriff der Algorithmen auch in größeren Beständen gezielt auffinden.

ISBN, Revision und weitere Referenzdaten

Im Open-Library-Kontext ist das Werk über OL17840708W sowie die Editionszuordnungen OL33870823M referenzierbar. Sowohl die ISBN-10 3446256687 als auch die ISBN-13 9783446256682 erleichtern das Auffinden und Vergleichen dieser Ausgabe erheblich.

Die zentralen Metadaten zu Angriff der Algorithmen

1. Thematische Hauptkategorie: Sachbuch
2. Buchtitel: Angriff der Algorithmen
3. Kurzbeschreibung: 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 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. 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
4. Internationale Standardbuchnummer (ISBN-10): 3446256687
5. Verfasst von: Cathy O'Neil
6. Publiziert bei: Hanser, Carl GmbH + Co.
7. Veröffentlicht am: 21.08.2017
8. Sprache: Deutsch
9. Open-Library-Work-ID: OL17840708W
10. Externe Editionsreferenzen: OL33870823M
11. Untertitel: Wie sie Wahlen manipulieren, Berufschancen zerstören und unsere Gesundheit gefährden
12. Ausgabeform: hard
13. Internationale Standardbuchnummer (ISBN-13): 9783446256682
14. Thematische Tags: Political aspects, Social conditions, Mathematical models, Social aspects, Moral and ethical aspects, New York Times bestseller, Mathematics, Human behavior, Social indicators, Conditions sociales, Algorithms, Aspect social, Aspect politique, Modèles mathématiques, Indicateurs sociaux, Computer algorithms, math, inequality, award:euler_book_prize, nyt:education=2016-10-09, Human behavior, mathematical models, Computers, social aspects, Données volumineuses, Aspect moral, Data Modeling & Design

Relevanz für Suche und Einordnung

Die Verbindung aus Angriff der Algorithmen, Cathy O'Neil, Sachbuch und Political aspects, Social conditions, Mathematical models, Social aspects, Moral and ethical aspects, New York Times bestseller, Mathematics, Human behavior, Social indicators, Conditions sociales, Algorithms, Aspect social, Aspect politique, Modèles mathématiques, Indicateurs sociaux, Computer algorithms, math, inequality, award:euler_book_prize, nyt:education=2016-10-09, Human behavior, mathematical models, Computers, social aspects, Données volumineuses, Aspect moral, Data Modeling & Design schafft eine solide Grundlage für eine präzise thematische Suche. Eindeutige Referenzdaten wie 3446256687, 9783446256682 und OL17840708W verbessern die bibliografische Verlässlichkeit zusätzlich.

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