Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
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but in many cases the real culprit is the poverty that leads workers to take jobs wit...
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and the scheduling models that squeeze struggling fam...
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The root of the trouble, as with so many other WMDs, is the modelers’...
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The model is optimized for efficiency and profitability, not for justice or ...
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This is, of course, the nature of...
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For companies, revenue is like oxygen. It ke...
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From their perspective, it would be profoundly stupid, even unnatural, to turn awa...
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That’s why society needs countervailing forces, such as vigorous press coverage that highlights the abuses of efficiency and shames ...
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And when they come up short, as Starbucks did, it must expose t...
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It also needs regulators to keep them in line, strong unions to organize workers and amplify ...
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Following the New York Times report in 2014, Democrats in Congress promptly drew up bills to ...
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But facing a Republican majority fiercely opposed to government regulations, the chances that their bill would become l...
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Very soon, the roles of the employees appeared to come into focus.
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Some people were idea generators, the system concluded.
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On its chart of employees, Cataphora marked idea generators with circles, which were bigger and darker i...
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Other people were co...
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Like neurons in a distributed network, they transmi...
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The most effective connectors made snippets of...
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The system painted those people in dark c...
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Now, whether or not this system effectively measured the flow of ideas, the concept ...
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A few years ago, MIT researchers analyzed the behavior of call center employees for Bank of America to find out why some teams were more productive than others.
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The researchers found, to their surprise, that the fastest and most efficient call center team was also the most social.
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These employees pooh-poohed the rules and gabbed much more than the others.
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And when all of the employees were encouraged to socialize more, call cent...
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But data studies that track employees’ behavior can also be used ...
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They saw that some workers were represented as big dark circles, while others were smaller and dimmer.
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If they had to lay off workers, and most companies did, it made sense to start with the small and dim ones on the chart.
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Were those workers really ...
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If a system designates a worker as a low idea generator or weak connector, that verdict becomes its...
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Perhaps someone can come in with counterva...
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The worker with the dim circle might generate fabulous ideas but not shar...
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Or perhaps she proffers priceless advice over lunch or breaks up the tension in...
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Maybe everybody l...
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That has great value in the...
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But computing systems have trouble finding digital proxies for these ...
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The relevant data simply isn’t collected, and anyway it’s hard to...
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They’re usually easier to leave ou...
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So the system identifies appa...
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And a good number of them lost their jobs during the recession. T...
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But what’s worse is that systems like Cataphora’s receive min...
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Someone identified as a loser, and subsequently fired, may have found another job and gene...
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That data usually isn’t collected. The system has no inkling that it got one person, or even a tho...
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That’s a problem, because scientists need this error feedback—in this case the presence of false negatives—to delve into forensic analysis and figure out what went w...
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It’s how systems learn and g...
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Yet as we’ve seen, loads of WMDs, from recidivism models to teacher scores, blithely g...
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Managers assume that the scores are true enough to be useful, and the algorithm ma...
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They can fire employees and cut costs and blame their decisions on an objective number, wh...
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Bogus is the word for it. In fact, misinterpreted statistics run through the history of teacher evaluation.
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Yes, it was true that SAT scores had gone down on average.
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However, the number of students taking the test had ballooned over the course of those seventeen years.