Metacognition Should Be the Scientific Framework for Bounded and Effective Self-Governance in Generative AI

ArXi:2605.23981v1 Announce Type: cross Generative AI research increasingly confronts a shared problem: systems must sustain yet govern their own generative activity when uncertainty is high, evidence is missing, or context is insufficient. This position paper argues that metacognition should become the scientific framework for bounded and effective self governance in generative AI, where output generation is properly evaluated together with the capacities through which generative systems navigate and regulate their own activity.