AI Governance
AI Governance
The governance layer that now sits over every AI system — the EU AI Act, ISO/IEC 42001 and the NIST AI RMF, translated into inventories, model classification, risk tiering, human oversight and AI impact assessment.
Articles
3 articles in this section.
How to run an AI impact assessment that changes a deployment decision — screening, the sections that matter, and integrating with the DPIA you already run.
Read →The EU AI Act risk tiers, who carries which obligation, and how to build a readiness program that fits alongside an existing GDPR compliance program.
Read →AI inventories, model classification, risk tiering and human oversight — building an AI management system under ISO/IEC 42001 on top of an existing data privacy program.
Read →AI governance, built on the data privacy program you already have
Most organizations do not need a second governance function for AI. They need the existing data privacy program extended — the same inventory discipline, the same impact assessment habit, the same evidence trail, applied to models instead of processing activities.