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A thought piece arguing that as AI becomes more accurate, human oversight may degrade into routine approval, creating a 'Trust–Oversight Paradox' where high-performing AI can still fail due to incomplete representation, stale data, or automation bias, suggesting a shift from human review to governing boundaries.