AI governance for banks
AI Governance for Banks
Banks need AI governance that connects policy, model risk, vendor oversight, data controls, board reporting, and evidence collection.
Where AI risk appears
AI exposure may appear in fraud tools, credit models, underwriting workflows, customer service platforms, staff productivity tools, and vendor systems.
What governance should prove
A bank should be able to show who owns each use case, who approved it, how vendors and models are reviewed, and what evidence supports ongoing monitoring.
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