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    Data Science

    How Machine Learning Amplifies Inequality in Society

    by Daniel Chalef
    April 28, 2016  

    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.

    Data Science Machine Learning Practical Techniques Best Practices Domino Data Popup

    Daniel Chalef

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