Assign each AI governance task a single accountable owner: executive leadership for risk acceptance, a system owner for each AI system, security and privacy for review, and engineering for testing and monitoring. NIST's GOVERN 2.1 asks that these roles and lines of communication be documented and clear.
What NIST asks for
Under the Govern function, accountability structures should empower, assign responsibility to and train the right people. GOVERN 2.1 covers documented roles and communication lines. GOVERN 2.2 covers training for personnel and partners. GOVERN 2.3 puts responsibility for AI development and deployment risk decisions on executive leadership. GOVERN 3.2 asks for defined roles for human-AI configurations and oversight.
A starting responsibility map
Each task has one accountable owner.
- Set AI risk tolerance: executive accountable, governance group responsible, system owners, security and legal consulted.
- Maintain the inventory: governance group accountable, system owners responsible, security and privacy consulted.
- Assess a new system: system owner accountable, security, privacy, legal and engineering responsible.
- Approve a high-tier deployment: executive accountable, system owner and governance group responsible, the rest consulted.
- Test and monitor in production: system owner accountable, engineering responsible, security consulted.
- Handle an incident: executive accountable, system owner, security, privacy, legal and engineering responsible.
- Review third-party AI vendors: governance group accountable, security and privacy responsible, procurement informed.
- Train staff: governance group accountable, security responsible.
Adjust it to your org. The principle is one accountable owner per task.
System owner is the key role
Each system needs one named owner who answers for its purpose, performance, documentation, and reassessment. Put that name in the inventory. If the owner leaves, reassign before their last day.
Human oversight roles
GOVERN 3.2 specifically asks for roles that differentiate human and AI responsibilities. For each system with human review, write down who reviews, what they can override, and what they must escalate.
For public-sector reference
OMB M-25-21 requires federal agencies to designate a Chief AI Officer and gives that role duties such as maintaining the AI use case inventory and ensuring processes for high-impact AI. It is a useful example of putting inventory and oversight under a named person.
Handling turnover and gaps
Roles fail when people leave or change jobs. Tie ownership to a role title as well as a name, and review assignments when someone changes teams. Add an owner check to your offboarding checklist. For any system without an owner, the governance group should either assign one within thirty days or place it in the retirement queue. Track the number of unowned systems as a simple health metric.
Quick check
Can security own all of AI governance?
Security should own the security parts. Risk acceptance belongs to executives, and system accountability to business or product owners.
How do we handle shared systems?
Still pick one owner. Others are consulted. Shared ownership usually means no ownership.
Sources
Last reviewed: 19 October 2026.
