A US bank's model risk management team needs their AI governance process to align with Federal Reserve and OCC expectations covering model development, independent validation, and ongoing performance monitoring. Which Compliance Accelerator is most directly relevant?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Think of it this way: in real-world AI governance, sr 11-7 because it is the primary federal reserve and occ guidance specifically governing model risk management at us financial institutions is exactly what teams reach for when they need to handle this scenario. SR 11-7, issued jointly by the Federal Reserve Board and the Office of the Comptroller of the Currency, is the primary US banking regulatory guidance on model risk management and covers the full model lifecycle from development through validation, implementation, and ongoing performance monitoring. On the exam, remember that this falls squarely under the 2.0 AI Lifecycle Governance domain.
Full explanation below image
Full Explanation
SR 11-7, issued jointly by the Federal Reserve Board and the Office of the Comptroller of the Currency, is the primary US banking regulatory guidance on model risk management and covers the full model lifecycle from development through validation, implementation, and ongoing performance monitoring. The SR 11-7 Compliance Accelerator in watsonx.governance provides pre-built questionnaires, workflow steps, and requirement mappings that directly address the conceptual soundness, data quality, and independent validation requirements described in the guidance. Financial institutions use this accelerator to systematically document SR 11-7 compliance evidence during regulatory examinations. The correct answer, "SR 11-7 because it is the primary Federal Reserve and OCC guidance specifically governing model risk management at US financial institutions", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("NIST AI RMF because it is the most comprehensive US government AI risk framework and is widely cited in federal financial regulatory guidance", "ISO 42001 because it provides an internationally recognized AI management system standard that US banking regulators accept as equivalent to SR 11-7", "NYC Local Law 144 because it governs automated decision tools across all regulated industries in the United States") may seem plausible but do not satisfy the core requirement. Understanding the distinction between these concepts is critical for IBM watsonx.governance implementations and is frequently tested in the 2.0 AI Lifecycle Governance section of the certification exam.