Bounding the causal impact of ML-assisted decision-making via counterfactual correctness
Read the original at arxiv.org→arXiv:2607.21806v1 Announce Type: new Abstract: Predictive machine learning (ML) models are increasingly used to aid human decision-makers across various high-risk domains such as healthcare and criminal justice....
Original headline: "Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness"
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- Jul 27, 04:00 UTC arXiv cs.LG lead source Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness