AI Governance Frameworks and Drift Detection Tools
A practical template for drift detection, semantic fidelity, and reality alignment.
Most AI governance focuses on approval, compliance, documentation, and security. This checklist focuses on what happens after deployment, when AI systems become embedded in real workflows and begin shaping decisions, language, judgment, and organizational behavior.
The framework helps organizations evaluate whether they can detect and correct AI drift before it becomes normalized inside daily operations.
Related Pages
- What Is Reality Drift
- Reality Drift Canonical Overview
- Semantic Fidelity Lab Series: Drift Detection in AI Systems
- Semantic Fidelity Glossary
- Preserving Meaning in the Age of Artificial Intelligence
Note: This page is part of the Semantic Fidelity Lab, a focused reference archive on meaning preservation, semantic drift, and evaluation failure in AI systems.