The Role of Uncertainty in Assessing the Fairness of Machine Learning Models
This paper moves beyond point estimation and discusses frequentist and Bayesian approaches to uncertainty quantification for fair machine learning, with practical examples and implications for simulated and real data.
Francesca Panero, Ernst C. Wit, Marco Scutari
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