machine-learning
Privacy, explainability, and dataset provenance
taught
Practical obligations around what a model reveals, why it decided what it decided, and where its training data came from.
Taught in
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Privacy, explainability, and dataset provenance
Modern Machine Learning
Requires
- bias-and-fairness-in-practice required
- shap-explanations required
Required by
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.