Editing Ai Governance (section)

== <span style="color: #FFFFFF;">Creating</span> ==
Designing an AI governance framework for an organization:
# '''Risk assessment''': classify every AI use case by EU AI Act/NIST AI RMF risk level.
# '''Policy development''': create AI Acceptable Use Policy, Data Governance Policy, Model Lifecycle Policy.
# '''Technical controls''': bias testing pipeline, explainability requirements, monitoring dashboards.
# '''Procurement requirements''': third-party AI vendors must meet the same governance standards.
# '''Model registry''': document all production AI systems with model cards.
# '''Incident response plan''': define severity levels, escalation paths, regulatory reporting timelines.
# '''Training''': all staff using AI tools receive awareness training; practitioners get technical governance training annually.

[[Category:Artificial Intelligence]]
[[Category:AI Governance]]
[[Category:Policy]]
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