A standardized framework with accompanying AI tools for auditing and evaluating the transparency and bias of government-controlled AI sentiment analysis systems. Allows researchers and regulators to assess the fairness and accountability of centralized AI systems, preventing misuse and promoting responsible AI governance. The focus is not just on code, but on the human processes that created it and the data upon which it was trained.