Governed Human-AI Prioritization Under Uncertainty: Adaptive Estimation and Dependency-Constrained Portfolio Selection
AI-native software engineering increasingly combines human judgment, historical analogy, parametric estimation, and AI-generated forecasts in the same prioritization decision. We study five quantitative operators used in the D-POAF decision practice and stress-test them under uncertainty, estimator dependence, drift, s...