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RBI proposes guidelines for banks to manage AI risks

A man stands in front of the Reserve Bank of India (RBI) logo inside its headquarters in Mumbai, India, February 6, 2026. (Photo: Reuters)

MUMBAI, June 24 (Reuters) – RBI has proposed rules requiring banks to strengthen ​oversight of risks tied to AI ‌and machine-learning models, mandating board-approved policies, stronger controls and model inventories.

The Reserve Bank of India said ​banks must put in place a board-approved ​risk management framework covering all models, ⁠including those for AI and machine-learning.

Regulated entities ​must assess risk at both the individual model ​level and across the enterprise on an ongoing basis, the RBI said.

If risks are found to be ​excessive, lenders should take timely corrective ​steps, including enhanced controls, restrictions on use, remediation or ‌decommissioning ⁠of the model, and submit a report to the board’s risk management committee, the bank added.

The RBI also said banks should ensure ​all models, ​including third-party ⁠models, are subject to independent validation.

Banks should establish human oversight for ​AI models used in automated decision-making, ​the ⁠draft guidelines said. For generative AI models that interface with customers or external users, ⁠additional ​cybersecurity controls should be implemented.

RBI ​has invited feedback on the draft guidelines by July ​24.