She argues that the poor are particularly vulnerable to exploitation. Instead, O’Neil explains what makes an algorithm dangerous—namely its opacity, scale, and impact. NPR's Kelly McEvers talks with data scientist Cathy O'Neil about her new book, Weapons of Math Destruction, which describes the dangers of relying on big data analytics to solve problems. It acknowledges that models aren’t going away: As a tool for identifying people in difficulty, they are amazing. According to her, algorithms are often used with good intentions, but the effects can still be harmful. One-Page Notes on Weapons of Math Destruction. While reading Weapons of Math Destruction I imagined that I was in conversation with Barbara. Again, I’ll point you to Bryan Alexander’s summary of Chapters 2 and 3 , and just add some personal … Chapter 8 Collateral Damage: Landing Credit 141. As Cathy O’Neil writes in her new book, Weapons of Math Destruction, many of these models encode “human prejudice, misunderstanding, and bias into the software systems that increasingly [manage] our lives.” And … Weapons Of Math Destruction by Cathy O'Neil. Cathy O’Neil’s book is important precisely because she I wanted to ask her if she also thought that the book would have been more persuasive in its criticism of the data economy if it also offered some of the benefits of institutions, the government, and companies of taking a data-centric approach. The reviews are coming in of my new book, Weapons of Math Destruction (also available as an audiobook, which I read myself! 📖 Read chapter one of Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O’Neil I don't think she's used the specific words in the book yet, but O'Neil is fundamentally writing about social justice and transparency. Download Weapons Of Math Destruction PDF/ePub or read online books in Mobi eBooks. As more businesses and services, including schools and police, use algorithms to automate jobs, an increasing number of people are suffering the adverse effects. Weapons Of Math Destruction. O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. After you pop the champagne, accept the shiny new title, and step into this thrilling next chapter of your career, the truth descends like a fog: you don't really know what you're doing. 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. The book avoids the fearmongering approach of labeling all algorithms dangerous, which I appreciate. Weapons of Math Destruction is a book focused on the ways mathematical models (algorithms) can increase inequality in the US. Learn more about the hidden agendas behind the formulas. 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. Students in the class: please post your blog comment on this entry by Tuesday, October 24, at 6pm. Bio. But this is a huge topic, and at roughly 200 pages, O’Neil’s book can’t cover all the ground, particularly in regards to criminal justice. Read about Weapons of Math Destruction - 008 - Chapter 6 by Cathy O'Neil and see the artwork, lyrics and similar artists. New York: Crown Publishers, 2016. This week we review "Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy" by Cathy O'Neil. 272p. But as a tool for punishing and disenfranchising, they’re a nightmare. This week we begin reading and discussing Cathy O'Neil's book Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, chapters 1 through 6. Cathy O’Neil is a mathematician and data scientist who writes a blog at mathbabe.org.Her new book, “Weapons of Math Destruction,” is just out, and it’s a blistering journey through big data’s already dangerous effects on society, and a sobering preview of what could be coming if we’re not careful. Weapons of Math Destruction makes some good points about the use and abuse of math models and big data. Here are some of them: Weapons of Math Destruction: invisible, ubiquitous algorithms are ruining millions of lives by Cory Doctorow from his blog Boingboing.net Weapons of Math Destruction by Peter Woit from his blog,… Review Of 'Weapons Of Math Destruction' By Cathy O'Neil. Weapons of Math Destruction is an easy read, but a frustrating one. The book recently became available in paperback on September 15, 2017 and includes a special afterward that looks at the failure of algorithms used by news outlets to accurately predict the 2016 presidential election results and the role of … Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy is published by Penguin. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. WEAPONS OF MATH DESTRUCTION “Weapons of Math Destruction is a fantastic, plainspoken call to arms. “Weapons of Math Destruction,” by Cathy O’Neil. Chapter 7 Sweating Bullets: On the Job 123. I think all data scientists should read Weapons of Math Description in order to add an important filter for judging how their work may be misused. Cathy O’Neil is a math Ph. PDF | On Mar 1, 2017, Michael Roy published Cathy O’Neil. The most persuasive arguments focus on the use of predictive modeling and its use in criminal sentencing, monitoring driving habits to determine auto insurance rates, and monitoring physical fitness as part of health insurance coverage. 234 Followers. About Weapons of Math Destruction. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy is out now and published by Crown. To a great extent both governments and increasingly large corporations are using these Weapons of Math … weapons of math destruction We live in the age of the algorithm. Book Club–“Weapons of Math Destruction”, part 2 I’m still here. Book Club–“Weapons of Math Destruction”, part 3 I’m going to go in a little different direction this week–less on personal reflections, and trying to more directly answer Bryan Alexander’s discussion questions from his post on this week’s readings . Instant Wall Street Journal Bestseller! Sep. 29, 2016 1:22 PM ET. O’Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. I found Weapons of Math Destruction to be a good read because it provides an expert’s insight into how WMDs impact all of us. Cathy O’Neil’s book Weapons of Math Destruction explains plenty of real-world examples of algorithms and the way they have been used in insurance industries to whir away our credit scores. Algorithms decide who gets a loan, who gets a job interview, who gets insurance and much more -- but they don't automatically make things fair. The author calls them (the models) a Weapon of Math Destruction (WMD) — which as far as I can recall are algorithms/model that are: Has big target audience; Doesn’t apply a feedback loop to correct itself using future outcome; Uses various proxies to account for the predicted outcome, which may in certain cases be discriminatory. Examples discussed include prison sentencing, college rankings, […] (clip here)). Weapons of Math Destruction is a 2016 American book about the societal impact of algorithms, written by Cathy O'Neil.It explores how some big data algorithms are increasingly used in ways that reinforce preexisting inequality.It was longlisted for the 2016 National Book Award for Nonfiction, has been widely reviewed, and won the Euler Book Prize 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. Congratulations, you're a manager! Weapons of Math Destruction (2016) offers a critical look at the growing number of algorithms that could be impacting your day-to-day life in ways you’re not even aware of. The book claims to be about the misuse of big data and machine learning to guide decisions, how that harms people and leads to bad outcomes, and how to fix it. Weapons of math destruction: How big data increases inequality and threatens democracy by Cathy O'Neil. Mathematician and data scientist Cathy O'Neil coined a term for algorithms that are secret, important and harmful: "weapons of math destruction." But Big Data isn’t as benign as you might think. Follow. O’Neil provides some scary examples of how much damage algorithms can do. No billionaire owner, … Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy . Weapons of Math Destruction Posted on September 6, 2016 by woit Cathy O’Neil’s important new book Weapons of Math Destruction , is out today, and if you’re at all interested in the social significance of how mathematics is now being used, you should go out and get a copy. Summary. The insurance companies have created their propriety algorithm known as e-scores which are used for sorting demographic data and keeping the driver’s records. O’Neil argues that the commercial application of big data often harms individuals in unknown ways. Cathy O’Neil, data scientist and author of Weapons of Math Destruction talks with EconTalk host Russ Roberts about the ideas in her book. In Weapons of math destruction Cathy O'Neil, mathematician-turned-Wall Street quant-turned-activist, offers a sobering glimpse into how algorithms dictate our lives at every turn. Hazel Henderson. This site is like a library, Use search box in the widget to get ebook that you want. D. from Harvard and a data-scientist who hopes to someday have a better answer to the question, “what can a non-academic mathematician do that makes the world a better place?” In the meantime, she wrote a seminal book titled Weapons of Math Destruction: how big data increases inequality and threatens democracy. That's exactly how Julie Zhuo felt when she became a rookie manager at the age of 25. Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools. 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