Part 5.5: AI Oversight Structures

AI Governance Structures

Effective AI governance requires formal organizational structures with clear accountability. These structures ensure AI risks are managed, ethical principles are upheld, and regulatory requirements are met.

💡 Three Lines of Defense

AI governance often follows the three lines model: (1) Business units owning AI systems, (2) Risk and compliance functions providing oversight, (3) Internal audit providing independent assurance. AI-specific structures integrate with this model.

Governance Bodies

🏢

Board AI Committee

Strategic AI oversight
Major AI risk decisions
AI policy approval
Executive accountability

⚖

AI Ethics Board

Ethical guidance
Use case review
Bias assessment
Stakeholder input

📈

AI Risk Committee

Risk appetite setting
Risk assessment review
Incident escalation
Mitigation oversight

🛠

AI Center of Excellence

Technical standards
Best practices
Capability building
Knowledge sharing

Key AI Governance Roles

Executive

Chief AI Officer (CAIO)

Overall accountability for AI strategy and governance
Reports to CEO/Board on AI matters
Coordinates AI activities across business units
Champions responsible AI culture

Governance

AI Ethics Lead

Develops and maintains AI ethics framework
Facilitates ethics reviews for AI use cases
Provides guidance on ethical dilemmas
Monitors emerging ethical concerns

Risk

AI Risk Manager

Develops AI risk framework and methodology
Conducts AI risk assessments
Monitors risk indicators and metrics
Reports to AI Risk Committee

Operational

AI System Owner

Accountable for specific AI system
Ensures compliance with policies
Manages system lifecycle
First line of defense

AI Ethics Board Design

Composition

Internal Members: Legal, compliance, HR, technology, business representatives
External Members: Ethicists, academics, civil society, affected communities
Independence: Balance between internal knowledge and external perspective

Operating Model

Clear charter defining scope, authority, and process
Regular meeting cadence with ad-hoc reviews for urgent issues
Documented decision-making criteria and escalation paths
Transparency through published principles and summary decisions

RACI Matrix for AI Governance

Activity	Board	CAIO	Ethics Board	Risk Mgr	System Owner
AI Strategy	A	R	C	C	I
Policy Approval	A	R	C	C	I
Risk Assessment	I	A	C	R	C
Ethics Review	I	A	R	C	C
System Deployment	I	A	C	C	R
Incident Response	I	A	C	R	R

R = Responsible, A = Accountable, C = Consulted, I = Informed

📚 Key Takeaways

AI governance structures should integrate with existing three lines of defense model
Key governance bodies include Board AI Committee, AI Ethics Board, AI Risk Committee, and AI CoE
Chief AI Officer provides executive accountability; AI Ethics Lead guides ethical considerations
AI System Owners are accountable for specific systems as first line of defense
AI Ethics Boards should include both internal and external members for balance
RACI matrices clarify responsibilities across governance activities

← Part 5.4: AI Policies Part 5.6: AI Impact Assessments →