AI Governance Frameworks
AI governance encompasses the policies, processes, roles, and controls that ensure AI systems are developed and used responsibly, lawfully, and transparently throughout their lifecycle. Regulators increasingly expect formal governance structures—not informal ethical commitments.
Key Obligations
•• Define clear accountability and oversight for AI systems
•• Establish ownership and escalation paths for decisions
•• Maintain an inventory and registry of AI systems in use
•• Document system purposes, data sources, and limitations
•• Ensure human oversight and intervention mechanisms
•• Govern third-party and vendor AI tools
Risk Without Governance
•• Regulatory non-compliance and enforcement actions
•• Inconsistent practices across business units and regions
•• Limited visibility into deployed AI systems
•• Increased legal, ethical, and reputational exposure
•• Difficulty responding to incidents or regulator inquiries
Governance Solutions
•• Design AI governance operating models and charters
•• Establish oversight committees and decision-making structures
•• Build AI system registries and lifecycle controls
•• Define policies for development, procurement, and deployment
•• Align governance practices with global regulatory expectations