IMF urges central banks to tighten AI governance against financial risks
To mitigate these risks, Adrian urged regulators to strengthen stress-testing frameworks, improve monitoring of AI-driven investment strategies and collect more comprehensive data on AI adoption, market exposures and model dependencies.
He identified three immediate priorities for policymakers: strengthening oversight of AI-driven trading, lending and supervisory technology (SupTech); improving transparency around AI adoption, model dependencies and correlated investment strategies; and expanding international cooperation on cyber security and operational resilience.
Adrian noted that AI is increasingly being used to price financial risks, allocate credit, execute trades and support supervisory activities, creating opportunities for greater efficiency while introducing new vulnerabilities that regulators must address.
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