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Weapons of Math Destruction: How Big Data Increases Inequality and…
by Cathy O'Neil
Books Read in 2017 (214)
Female Author (262)
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I was hoping for a more technical book actually. I had heard interviews with the author that went into far more detail than this book, with what were to me much more shocking and salient examples. Would still definitely recommend to anyone that is just starting to dip their toes into the ideas of data management and algorithms and how they impact our lives. ( )
Absolutely loved ♡ Made me look at math in a different way.
Still an important read, even though it probably merits a 2nd edition at this point. The chapter on Facebook and voting is woefully outdated, as this book was published before the 2016 election.
Math is not a perfect instrument. Like any tool, it can be misused. I found it interesting to learn about all the unethical models in our society and now I am more suspicious of data scientists.
O'Neil is a very good writer and explains how computerized mathematical models are used in ways that harm the poor and powerless. It's obvious that she's a genius when it comes to math and statistics, but sometimes her politics seem a little too idealistic for my taste.
Longlisted for the National Book AwardNew York Times Bestseller 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
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Melvil Decimal System (DDC)005.7Information Computing and Information Computer programming, programs, data, security Data
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