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مجموعة أبوظبي للذكاء الاصطناعي
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AI Governance

Governance built for systems that act.

Institutional research on AI inventories, risk classification, accountability, human oversight, evidence, third-party controls, agent permissions, monitoring, incident response, and assurance.

Operating model

Responsible AI becomes credible when it is observable.

Policy is only one layer. Effective governance connects named owners, system records, controls, approvals, evidence, exceptions, monitoring, and escalation to the AI systems actually operating inside an institution.