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    • An introduction to explainable AI with Shapley values
    • Be careful when interpreting predictive models in search of causal insights
    • Explaining quantitative measures of fairness
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Topical Overviews

These overviews are generated from Jupyter notebooks that are available on GitHub

  • An introduction to explainable AI with Shapley values
  • Be careful when interpreting predictive models in search of causal insights
  • Explaining quantitative measures of fairness
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