AI GOVERNANCE
Govern the system—not only the policy.
Responsible AI becomes real when principles are translated into operating controls, ownership, evidence, and repeatable decisions.
EMLI helps organizations create practical governance around quality, privacy, security, explainability, compliance, and risk.
Controls close to the work
Governance should influence data access, retrieval, evaluation, human review, monitoring, escalation, and change management.
Clear accountability
Owners need defined authority, approval criteria, evidence, and a way to reassess systems as conditions change.
Governance designed to operate
- Model evaluation and controls
- Responsible AI operating model
- Security and privacy architecture
- Risk and oversight practices