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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 inside the same prioritization decision. The resulting problem is not merely how to rank candidate work, but how to govern heterogeneous estimates, uncertainty,
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