Pros & Cons
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
Highlights
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
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- This product had a total of 3,617 reviews as of our last analysis date on Mar 27 2023.
Helpful InsightsBETA
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