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RBI proposes guidelines for banks to manage AI risks


By Gopika Gopakumar

MUMBAI, June 24 (Reuters) – India’s central bank 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.

(Reporting by Gopika Gopakumar; ​Editing by Shailesh Kuber)



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