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Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases
Recent research has developed algorithms for effectively identifying intersectional bias in the form of interpretable, underperforming subsets (or slices) of the data.
Unified Shapley Framework to Explain Prediction Drift
Predictions are the currency of a machine learning model, and to understand the model's behavior over segments of a dataset, or over time, is an important problem in machine learning research and practice.
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