AI
In AI-simulated Fed meeting, political pressure polarises board
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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 economic data and financial news to reach a decision.
The findings…
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