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The Monetary Authority of Singapore (MAS) released its Consultation Paper on AI Risk Management Guidelines in November 2025, formalizing supervisory expectations for financial institutions. The guidelines require board-level accountability, enterprise-wide AI asset visibility, and structured materiality assessments based on impact, complexity, and operational reliance. A key gap identified is that materiality is framed through operational constructs rather than financial thresholds, leaving AI exposure disconnected from capital adequacy and stress-testing frameworks. The post argues that grounding AI materiality in financial terms would strengthen governance consistency, enable aggregation of AI exposure across portfolios, and integrate AI risk into capital resilience planning — the true measure of governance maturity for financial institutions.

Singapore AI Risk Guidelines and Capital Resilience | Kovrr

The Regulatory Inflection Point for AI in Financial Services

From Principles to Top-Level Supervisory Infrastructure

Risk Materiality as the Calibration Engine

Defining Materiality Through Financial Thresholds

From Financial Calibration to Capital Resilience

The True Measure of AI Governance Maturity