TOKYO :A simulated Federal Reserve meeting that used artificial intelligence agents modeled on real-life policymakers showed political pressure polarised members of the board in their rate-setting deliberations. In the study released on August 31, academics at George Washington University simulated a Federal Open Market Committee meeting using AI agents modeled by each member based on their historical policy stances, biographies and speeches. The AI FOMC was then made to process real-time