Causal Evidentiary Governance for High-Risk Machine Learning Systems
Evaluation on the German Credit dataset shows that harm associated with specific causal pathways can be substantially understated by associational fairness metrics, and a proof-of-concept implementation demonstrates operationally plausible throughput and highlights relevant performance tradeoffs.
Sama L. Kareem, B. Celiktas
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