How Machine Learning Amplifies Inequality in Society
By Daniel Chalef2016-04-281 min read
This talk took place at the Domino Data Science Pop-up in Austin, TX on April 13, 2016
In this talk, Mike Williams, Research Engineer at Fast Forward Labs, looks at how supervised machine learning has the potential to amplify power and privilege in society.
Using sentiment analysis, he demonstrates how text analytics often favors the voices of men. Mike discusses how bias can inadvertently be introduced into any model, and how to recognize and mitigate these harms.
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