Let's All go to the Chipy Dat SIG at Civis

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Title: 'Measuring Model Fairness' and will be presented by Henry Hinnefeld, a Senior Data Scientist at Civis Analytics.

Description:
When machine learning models make decisions that affect people’s lives, how can you be sure those decisions are fair? What does it even mean for an algorithm to be ‘fair’? As machine learning becomes more prevalent in socially impactful domains like policing, lending, and education these questions take on a new urgency.

Takeaways:
By the end of this talk you should be familiar with several common fairness metrics, be aware of the tradeoffs between them, and understand the subtleties of applying these metrics to real-world problems.