Calibrated trust, not sharper prediction, shown in uncertainty fusion for legal outcome predictions
Read the original at arxiv.org→arXiv:2608.14617v1 Announce Type: new Abstract: A recurring proposal in legal AI is to improve case-outcome prediction by fusing uncertainty tools (evidence graphs with belief propagation, sequential Bayesian odds...
Original headline: "Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion"
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- Aug 18, 04:00 UTC arXiv cs.LG lead source Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion