In AI-simulated Fed meeting, political pressure polarises board

Core Insights - A simulated Federal Reserve meeting utilizing artificial intelligence agents demonstrated that political pressure significantly polarized the board members during their rate-setting discussions [1] Group 1 - The simulation involved AI agents that were modeled on actual policymakers, reflecting real-life dynamics within the Federal Reserve [1] - Political influences were shown to create divisions among board members, impacting their decision-making processes regarding interest rates [1]