Fairness Indicators for TensorFlow (TF Dev Summit ’20)

Within this TensorFlow Dev Summit demo we will explore two case studies using Fairness Indicators. The first notebook demonstrates an easy way to create and optimize constrained problems using the TFCO library. This method can be useful in improving models when we find that they’re not performing equally well across different slices of our data, which we can identify using Fairness Indicators. Second, we will use Fairness Indivatores with the larger TensorFlow Ecosystem to show how Machine Learning Metada