AI Risk Management Framework 1.0
Organizes AI risk management around Govern, Map, Measure, and Manage across the lifecycle.
NIST — official/source page ↗A version-control framework preventing model, prompt, threshold, retrieval or policy changes from silently changing constitutional behavior after approval.
Because a high-impact system can be lawful or rights-preserving under one configuration and materially different after an update. Approval must attach to an inspectable system version, not an abstract product name.
Record old/new version, behavioral difference, affected rights, tests, approval, deployment time and rollback capability. Material updates should trigger renewed assurance proportional to risk.
If a vendor can replace the model or change thresholds without a new review, an institution may continue citing an approval that no longer describes the deployed decision process.
Source links establish traceability and support. They do not imply that the source endorses Concresca’s constitutional proposals.
Organizes AI risk management around Govern, Map, Measure, and Manage across the lifecycle.
NIST — official/source page ↗Covers human control, procurement, data protection, assurance, lifecycle governance, and responsible AI use.
UK Government — official/source page ↗NO JUDGMENT WHATSOEVER. Concresca coordinates without assigning moral worth, character, guilt, danger, trustworthiness, loyalty, purity, normality, or social standing. Questions, thoughts, identities, messages, content, and conduct are not objects of Concresca judgment.