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Measuring Model Fairness

Translations: en en


Machine learning models are increasingly used to make decisions that affect people’s lives. With this power comes a responsibility to ensure that model predictions are fair. In this talk I’ll introduce several common model fairness metrics, discuss their tradeoffs, and finally demonstrate their use with a case study analyzing anonymized data from one of Civis Analytics’s client engagements.


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