Armi di distruzione matematica

Come i big data aumentano la disuguaglianza e minacciano la democrazia

Hardcover, 368 pages

Langue : Italiano

Publié 5 septembre 2017 par Bompiani.

ISBN :
978-88-452-9421-1
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5 étoiles (8 critiques)

Lungi dall'essere modelli matematici oggettivi e trasparenti, gli algoritmi che ormai dominano la nostra quotidianità iperconnessa sono spesso vere e proprie "armi di distruzione matematica": non tengono conto di variabili fondamentali, incorporano pregiudizi e se sbagliano non offrono possibilità di appello. Queste armi pericolose giudicano insegnanti e studenti, vagliano curricula, stabiliscono se concedere o negare prestiti, valutano l'operato dei lavoratori, influenzano gli elettori, monitorano la nostra salute. Basandosi su case studies nei campi più disparati ma che appartengono alla vita di ognuno di noi, O'Neil espone i rischi della discriminazione algoritmica a favore di modelli matematici più equi ed etici. Perché rivestire i pregiudizi di un'apparenza statistica non li rende meno pregiudizi.

10 editions

Weapons of Math Destruction

5 étoiles

O'Neil is an excellent guide to the world of algorithms and how they impact our lives in ways large and small. To me one of the most depressing lessons of the book was that the people creating these systems which analyze data have almost no interest in the knock-on effects that their work has on people's lives. They are so focused on whatever particular goal they have that they have total blinders as to the damaging effects that their work might have. As with any book about technology the companies have changed a bit since O'Neil wrote the book, but the underlying problems have not changed; thus this continues to be a worthy guide to the challenges that our society will face as we continue to be enmeshed in algorithms which may not have our best interests at heart.

An excellent demonstration of the devastating pervasiveness of Big Data

4 étoiles

This book takes you on a journey through all areas of life and shows how Big Data systems cause harm in all of them. Through the examination of these case studies, it also gets to the fundamental issues with Big Data and proposes ways to change our perspectives on it.

This book is really good. It is clear, understandable for a layperson and very well-rounded. I would give it a 5/5 if there weren't these two points:

  • it is completely US-centric. The case studies are all domestic. This weakens its explaining power for the rest of the world, imo. (this isn't to say that it doesn't make sense or that it's wrong for a US citizen to only write about the US)
  • it's 8 years old now, and while it's analyses are not at all outdated, the world of Big Data has evolved since 2016. I often wondered what ended …

An absolut must-read for a world emprisoned in a golden cage

5 étoiles

If you wish to understand better what is at stakes with the algorithms and the global digital maze we seem to be prisoner of, then, this is a must read. Cathy O'Neil very clearly unravel the intricate technical, philosophical, political and socioeconomic logic at play. She shows how they work together to force an even more violent neoliberalism in every area of our daily lives, whether social, cultural, professional, judiciary, educational or political and economic. It is both quite scary and at the same time empowering, as it gives us the basics to look for collective ways to progressively get out of the maze we've lost ourselves in. As the say goes, knowledge is power, and I believe it has never been more true than today.

I would recommend to read it along Shoshana Zuboff's (bookwyrm.social/author/39159/s/shoshana-zuboff) "The Age of Surveillance Capitalism" (bookwyrm.social/book/260163/s/the-age-of-surveillance-capitalism). They nicely complement each …

Suit up for Combat!

5 étoiles

This was an exceptional book. It's not heavy into statistics but gives the rationale for what is a WMD (Weapon of Math Destruction) and WMDs maybe a new term but we have been under the exploitation of WMDs well before we think. It's not a new phenomenon but it is one that we should be aware of.

Take a read and learn how about them so that we can all do better to combat them and use math to not only help describe the world but make it a better place to live in.

Review of 'Weapons of Math Destruction' on 'Goodreads'

5 étoiles

My greatest Twitter achievement is that I raved about this book in a tweet and Cathy O'Neil liked it. Maybe I was easily persuaded by O'Neil's writing because I'm an aspiring data scientist hell bent on working for social good. Maybe it's because I've spent years in social justice activism. Or maybe it's because this is just a damn good book. O'Neil walks us through several algorithms wreaking havoc on society -- from hiring to scheduling to performance evaluations. Even if you, like me, were craving more technical material, O'Neil name drops the algorithms and you can simply do a quick Google search on them. This is the kind of popular data science book we need.

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