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Pros & Cons

The AI used to provide these results are constantly improving. These results might change.

Pros

This is a must read for any age but especially if you are in your twenties or thirties. The book shows how important it is to stay one jump ahead, to resist the commercial pressures brought to bear on them by lobbyists which can overturn government po...  Read More

O’neil describes similar algorithmic models used in the banking industry to assess someone’s loan rating. The book is an absolutely fascinating book and sheds a light on how algorithms and mathematical models are taking over our daily lives. I strongl...  Read More

Dr o'neil's book is a balanced, well-written and timely account of the concerns with the use of big data and algorithms. He argues that we all take data far too seriously.

As a poacher-turned-gamekeeper of the big data world, cathy o'neil is ideally placed to take us on a voyage of horrible discovery. She illustrates the pitfalls of allowing data scientists to operate in a moral and ethical vacuum. The book is written i...  Read More

Weapons of math destruction is a book about the dark side of the internet and computer technology. It raises moral and ethical questions about privacy, the role of computers in our lives, as well as traditional ethical values and why they matter. The ...  Read More



Cons

O'neil's study is sensationalist on the issues which it does address, and yet not scary enough because it leaves so much out. Zero insight whatsoever. It is easy to be negative about an emerging subject like big data and modelling in general.

For every person who unfairly gets a large loan, or a top job on the basis of this privilege, there is another who unfairly doesn't get it. parents are influenced by spurious factors. Relying on the principal's opinion leads to all sorts of * and unfa...  Read More

O'neil plays the very game she professes to despise - bias and exaggeration. But rather than taking an honest look at the subject, o’neil takes the ‘weapons of math destruction’ line far too literally, and unwittingly re-uses a term that has come to m...  Read More

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Highlights

The AI used to provide these results are constantly improving. These results might change.

Quality


I particularly liked the idea that bigdata might be exacerbating rather than levelling the field in social inequality


Notwithstanding these points this is a wellwritten book that most people will find interesting and highly informative even if t...  Read More


It demonstrates the highly problematic subjective nature of many of the algorithms which masquerade as scientific models and al...  Read More


The book deals with the concerns about the misuse of algorithms and the use of data as a proxy but it does not give much attent...  Read More

Competitiveness


If insurance competition doesnt work in the us as it does in the uk the issue isnt scoring systems used in both markets


Unless behaviour in the us is fundamentally different competition limited few comparison tools etc the same should be true


And if companies overprice others step in and take the business on comparison sites

Overview

  • How are reviewers describing this item?
    good, many and big.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 90% high quality reviews are present.
  • This product had a total of 3,617 reviews as of our last analysis date on Mar 27 2023.

Helpful InsightsBETA

The AI used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    The main problem with algorithms is that they take past data and try to use this to predict future behaviour


    Posted by a reviewer on Amazon

    The book deals with the concerns about the misuse of algorithms and the use of data as a proxy but it does not give much attention to its basic limitations


    Posted by a reviewer on Amazon

    This can never be captured in big data


    Posted by a reviewer on Amazon

    Even if big data is properly regulated and audited it will still get many things horribly wrong


    Posted by a reviewer on Amazon

    The fundamental problem is that we all take data far too seriously


    Posted by a reviewer on Amazon

    I was already familiar with some of the matters discussed in the book but i did not know the full extent of the use of the technology described nor data regarding its abuse


    Posted by a reviewer on Amazon

    Sadlyit was almost exclusively focused on the usawhich isnt too great a shock since that is where the author lives


    Posted by a reviewer on Amazon

    I do like to quote eminent physicist paul dirac noting that mathematics is so important even underpinning physics

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