On 59k Canadian refugee decisions, three ML fairness approaches produce divergent, sometimes contradictory signals and fail to capture substantive legal reasoning.
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When Fairness Isn't Statistical: The Limits of Machine Learning in Evaluating Legal Reasoning
On 59k Canadian refugee decisions, three ML fairness approaches produce divergent, sometimes contradictory signals and fail to capture substantive legal reasoning.