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Partnering with researchers at UC Berkeley to improve the use of ML
Today, the consequences of exposing algorithmic decisions and machine learning models to hundreds of millions of people are poorly understood. Even less is known about how these algorithms might interact with social dynamics: people might change their behaviour in response to what the algorithms recommend to them, and as a result of this shift in behaviour the algorithm itself might change, creating a potentially self-reinforcing feedback loop. We also know that individuals or groups will seek to game or exploit our algorithms and safeguarding against this is essential.
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7 weeks ago by yencarnacion
Safari Bot (@safaribot) | Twitter
ªªhttps://www.safaribooksonline.com/library/view/design-patterns-in/9780133489989/?utm_source=twitter.com&utm_medium=social&utm_campaign=safaribot …ºº
safaribooksonline  safari  books  online  twitter 
may 2015 by yencarnacion

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