US Banking Regulators Step Up Scrutiny of AI Adoption

With lenders accelerating the adoption of artificial intelligence (AI) across areas including customer service, fraud detection, compliance and credit decisions, US banking regulators are increasing their oversight of how financial institutions deploy the new technology.

Regulators, including the Office of the Comptroller of the Currency and the Federal Reserve, are reported to be asking banks for greater detail on how AI systems are developed, managed, and monitored.

These reviews focus on areas such as data access, governance frameworks, and the risks created by reliance on external technology providers.

In recent times, banks have moved quickly to integrate AI into their operations, with use cases expanding beyond basic automation into more complex activities such as regulatory monitoring, underwriting, and internal risk management.

This swift growth in AI adoption by banks has raised concerns around cybersecurity and whether companies have adequate controls in place to cover increasingly sophisticated systems.

For now, regulators are taking an information-gathering approach rather than introducing new AI-specific rules. The checks will be made using existing supervisory frameworks, including model risk management and consumer protection requirements, to assess whether banks can demonstrate appropriate oversight of their AI systems.

One of the key areas under consideration is third-party risk, as many financial institutions rely on external technology providers to develop and operate AI tools. Banks are under scrutiny to ensure these vendors meet the same security and governance standards expected within the banks themselves.

This latest move comes amid regulators globally assessing concerns over how financial firms should manage AI-driven risks while pursuing innovation, with some calling for stronger safeguards as adoption increases.