AI Governance Engineer
GitHub

Effective challenge

By Updated

Critical analysis of a model by objective experts with the expertise, independence and organisational standing to force change. The term comes from US model-risk guidance, now SR 26-2 1, and is borrowed for independent validation of AI systems.

Developed in
ch. 14, Independent validation and model risk management
Chapters
ch. 14, Development
Source
1 numbered reference, listed below

Where it is used

2 chapters of the Body of Knowledge use the term. Each link opens the first section that does.

  • Model risk management

    The banking-supervision practice of validating models for conceptual soundness, monitoring and outcomes analysis under effective challenge.

  • AI system

    For governance, the object the AI definition brings into scope.

Sources

  1. [1] SR 26-2, Revised Guidance on Model Risk Management (issued 17 Apr 2026 by the Federal Reserve, OCC and FDIC; supersedes and replaces SR 11-7 of 4 Apr 2011 and SR 21-8; effective challenge). Board of Governors of the Federal Reserve System. 2026-04-17. https://www.federalreserve.gov/supervisionreg/srletters/SR2602.htm (verified: primary)

Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .

Cite this term

García Aibar, J. (2026). Effective challenge. In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/effective-challenge. CC BY 4.0

BibTeX

@misc{aige2026effectivechallenge,
  author  = {Jorge García Aibar},
  title   = {{Effective challenge}},
  note    = {Glossary, AI Governance Engineering: The Thesis \& Body of Knowledge, version 0.5.0},
  year    = {2026},
  doi     = {10.5281/zenodo.22956197},
  url     = {https://aigovernanceengineer.com/glossary/effective-challenge}
}