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When central banks use AI, who is accountable?

Central banks are increasingly turning to artificial intelligence for tasks such as forecasting inflation, supervising banks and detecting financial risks. That raises a growing accountability question: if an algorithm contributes to a policy mistake or regulatory failure, it is unclear who bears responsibility. Commentators argue that central banks will need transparent governance, clear chains of responsibility and democratic oversight as AI becomes embedded in monetary and supervisory decisions.

Why now: Growing adoption of AI by central banks is sparking debate over transparency, democratic oversight and responsibility for algorithmic decisions.

central banksEuropean Central BankFederal Reserve

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