AINeutralarXiv – CS AI · 2h ago6/10
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Auditable Decision Models with Learned Abstention and Real-Time Steering
Researchers introduce EvaluatorDPT, a decision-control model that predicts YES, NO, or TBD (to-be-determined) for high-stakes AI applications where uncertainty exists. The system learns deferral as an explicit outcome rather than hiding uncertainty in forced predictions, achieving 82.6% accuracy with auditable, policy-governed decision routing that can be inspected and controlled at inference time.