Conduct independent reviews of AI/ML use cases, verifying compliance with various external/internal rules, such as Singapore’s PDPA guidance, prosed MAS AI risk management guideline, and internal bank policies, including ones for Model Governance.
Review documentation and evidence for each AI use case, including purpose, data sourcing and privacy, model design, fairness and explainability, human-in-the-loop controls, and security measures.
Review agentic AI architectures for role-based access, policy-as-code, immutable decision logging, observability, and fallback/kill-switch mechanisms.
Advise first line teams on regulatory and policy requirements for AI use cases, providing actionable recommendations for remediation or improvement.
Prepare clear review reports and present findings to senior management and relevant committees.