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AI governance is shifting — from principles on paper toward controls running inside live systems. The unresolved problem is no longer a knowledge deficit. The field knows what responsible AI requires. It’s a proof deficit: whether a running system can actively prove who controlled it, when, with what evidence, and whether a human could…