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Measures and Mismeasures of Algorithmic Fairness - Manojit Nandi

Автор: PyData

Загружено: 2019-01-03

Просмотров: 658

Описание: PyData DC 2018

Within the last few years, researchers have come to understand that machine learning systems may display discriminatory behavior with regards to certain protected characteristics, such as gender or race. As a result, many definitions of fairness have been created to enable equity in machine learning algorithms, each with their own strengths and weaknesses.

Slides - https://speakerdeck.com/lejit/measure...
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Measures and Mismeasures of Algorithmic Fairness - Manojit Nandi

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