Central banks are rapidly deploying artificial intelligence (AI) to increase efficiency and cost reductions. According to a survey of 35 central banks, 51% reported the incorporation of AI/ML technologies. AI promises to enhance regulatory efficiency and bolster the foundational data used for making monetary policy decisions. AI Engines such as Athena, the natural language processing (NLP) AI tool of the European Central Bank (ECB), are playing a pivotal role in mitigating gaps in supervision and regulation.
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