Law / Frameworks / NIST AI RMF / Govern
NIST AI RMF, GovernGOVERN 6.2
Contingency processes are in place to handle failures or incidents in third-party data or AI systems deemed to be high-risk.NIST AI Risk Management Framework, version 1.0, January 2023 (NIST AI 100-1), GOVERN 6.2
We read each law below as bearing on this control. That does not mean the control, done well, meets the law: what each law asks is on its own page. Law library as of .
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AI sector rules
1 law, 1 jurisdiction| Jurisdiction | Law | What it asks, as read here |
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 Canada |
OSFI Guideline E-23, Enterprise-Wide Model Risk Management for Deposit-Taking Institutions (2017) |
Applying a vendor product does not remove the need for the same vetting, approval, ongoing validation, decommissioning and documentation as for in-house models; seek adequate technical documentation from the vendor, set policies on selecting, monitoring and retaining vendor models, and develop contingency plans for material models. |
Full text of the NIST AI Risk Management Framework, public domain (a US government work). Every control of the framework.