Glossary
AI Governance
The frameworks, policies, processes, and oversight mechanisms that guide how AI is developed, deployed, and monitored within an organization or across society.
AI governance is the broader system of accountability around AI — making sure that decisions about AI development and deployment are made deliberately, with appropriate oversight and the right stakeholders involved. At the organizational level, this might mean review boards that approve model deployments, escalation processes for flagged behaviors, or ongoing monitoring programs. At the societal level, it involves emerging regulation, industry standards, and policy development. For behavior architects, governance matters because it determines what authority they have, who they need to consult, and what accountability mechanisms exist if something goes wrong. Working within a mature governance structure makes it easier to raise behavioral concerns and get them acted on; working without one makes it harder to ensure that good behavioral design actually shapes what ships.