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Weapons of Math Destruction
- How Big Data Increases Inequality and Threatens Democracy
- Gesprochen von: Cathy O'Neil
- Spieldauer: 6 Std. und 23 Min.
- Kategorien: Geld & Finanzen, Ökonomie

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Inhaltsangabe
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 troublingly, 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 paroles, 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 savvier about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.
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Das sagen andere Hörer zu Weapons of Math Destruction
Rezensionen - mit Klick auf einen der beiden Reiter können Sie die Quelle der Rezensionen bestimmen.
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- Marc Dierckx
- 26.04.2017
The sorcerer's apprentices
In a similar way that figures with many decimals are perceived as more correct, the results of mathematical models look like a magical performance.The spectators forget that a model remains only as good as its basic assumptions and without reality check might just produce bullshit. The performers of the event are happy to have learned a new trick and constantly look for new magic. The trick makers sometimes run out of real ideas, forget their moral constraints and just run after the easy money with fraud models.
Cathy O'Neil knows the tricks of the trade and sees the effects of the magic building up, but I am afraid that her counter-spell is swept away by the ever bigger waves of magic and hunger for profit. She forgets the real moral of the story and that only the real sorcerer will be able to end the magic: a leviathan making the models and their creators responsible for the results and their liabilities.
2 Leute fanden das hilfreich
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- Michael Schlierbach
- 27.06.2017
The elephant in the room
Welchen drei Worte würden für Sie Weapons of Math Destruction treffend charakterisieren?
schaut genau hin
Welcher Moment von Weapons of Math Destruction ist Ihnen besonders im Gedächtnis geblieben?
Die Beurteilung von Lehrern nach unpassenden und unzureichenden Kriterien und die Schilderung, wie das Universitätsranking eben nicht die Lehre an sich verbessert hat, sondern Geschäftemachern Geschäfte verschafft hat.
Hat Ihnen Cathy O'Neil an der Geschichte etwas vermittelt, was Sie vielleicht beim Selberlesen gar nicht bemerkt hätten?
Schwer zu sagen, sie hat es ja geschrieben. Aber es ist spannend, ein Buch vom Autor selbst vorgetragen zu bekommen. Ich denke, ich habe ihre Betonungen gehört, die ich im Lesetext möglicherweise anders interpretiert hätte.
Hat dieses Hörbuch Sie emotional stark bewegt? Mussten Sie laut z.B. lachen, weinen, zweifeln, etc.?
Ja, durchaus, ich hatte schon so eine Ahnung, vor allem bei den Universitätsrankings (ich bin Studentenseelsorger und kenne mich mit dem Gebiet gut aus), aber dass es sich genau so verhält, konnte ich nur mit sarkastischem Lachen begleiten.
Was wäre für andere Hörer sonst noch hilfreich zu wissen, um das Hörbuch richtig einschätzen zu können?
Hier legt jemand, der die Sache versteht, den Finger auf die Wunde, die sonst kaum jemand sehen will: Dass viele Algorithmen im Grunde schlecht und unzureichend gedacht und ausgeführt werden, dieses Verhalten aber fast immer jemandem nützt, weshalb nichts geändert wird.
Sie zeigt aber auch genau auf, wie sich etwas verbessern ließe.
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- David
- 16.12.2020
exceptional perspective on data
Cathy O'Neil wrote a fantastic book which she narrates beautifully. The insight she shares is nuanced and she is clearly a lover of data science who wishes to see it implemented in the world in many responsible ways. Throughout the book she highlights pitfalls that can lead scientists with good intentions to create harmful models. A philosophy of human responsibility is very much discernable. I would wholeheartedly recommend this to anyone who enjoys listening to critical thinkers examining the development of our common future.
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- Marie
- 07.10.2020
pretty okay to getting started
cathy o Neill gives interested and surprising examples of the use of scoring and algorithms use in the every day life of the average American citizen. it's interesting to see what algorithm can do and to what extent the harm can last, but in the end it's just a long list of horrifying cases where the system did wrong, nothing special. o enjoyed the book while doing work at home but wouldn't listen to it a second time.
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- Ming Ching Huang
- 20.05.2020
Interesting and important topic but expected more
For people who is new to the topic, this book is easy to read and informative. Overall the content is more like a collection of newspaper or blog articles introducing the topic. Expected more arguments in depth.
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- Brian Rozema
- 13.12.2019
Very informative and scary findings.
A valuable addition to conventional thoughts about transparency, honesty and bias in the hard sciences.
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- Luis
- 14.09.2019
Good quick and clean overview
The book provides a good, quick and interesting overview of the big data economy and its risks.
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- Daniel franca
- 17.12.2017
Variations on a Theme
This book conveys a very important idea and warning. It could however easily be ckndensed into a magazine article, as this same idea is exained in many scenarios that are only slightly different.
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- Buecherfex
- 28.03.2017
Wichtige Mahnung zu Big Data
Anhand eindrucksvoller Beispiele aus dem Alltag beschreibt die Autorin die Wirkung intransparenter Algorithmen und deren Auswirkungen auf das Leben. Nun ist der europäische Datenschutz zwar ein Hindernis, und nicht alle Beispiele sind daher hierzulande relevant. Dennoch lohnt es sich, über Geoscoring und intransparente Schufa-Ratings nachzudenken.
1 Person fand das hilfreich
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