AI governance isn't just a compliance checkbox. Done right, it's the infrastructure that lets organizations deploy AI with confidence.
The Four Pillars of AI Governance
Effective AI governance rests on transparency, accountability, fairness, and oversight. None of these pillars is purely technical — they all require organizational design, policy development, and cultural change alongside the technical infrastructure.
Model Risk Management
Financial institutions have a head start through their model risk management frameworks. The principles — understanding model assumptions, testing model performance, monitoring for model drift — translate directly to AI governance across industries.