Governance
Ensuring AI systems remain accountable, transparent and subject to effective oversight.
From principles to accountability
Responsible AI governance connects ethical commitments with enforceable policies, accountable decision-makers and verifiable evidence.
Policy and Responsibility
Clear ownership, decision rights, governance bodies and escalation routes.
Risk Management
Identify, evaluate and manage AI risks throughout procurement, development and operation.
Compliance and Assurance
Document relevant requirements, test controls and maintain demonstrable evidence.
Lifecycle Oversight
Govern AI from initial design and procurement through deployment, updates and retirement.
Governance framework
- AI inventory and system classification.
- Roles and accountable system owners.
- Privacy and impact assessments.
- Transparency and disclosure policies.
- Supplier and third-party assurance.
- Independent reviews and audit evidence.
- Incident reporting and corrective action.
- Regular management and board reporting.
Rome Call alignment
Governance should translate the Rome Call principles into practical controls and measurable outcomes. Ethical alignment alone does not constitute legal compliance or formal certification.