Limitations of mitigating judicial bias with machine learning

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A Causal Bayesian Networks Viewpoint on Fairness (2018, neutral): “Multiple studies [22,34,37,46] have argued that the core premise of RAIs, to assess the likelihood a defendant reoffends, is impossible to measure and that the empirical proxy used (e.”
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements (2019, background): “Application: Much of the published work on addressing fairness concerns focuses on public policy applications like recidivism prediction [9, 31], predictive policing [32], and child services [10].”