Cross-functional collaboration is now essential: Technology, legal and risk teams must share a common language for assessing AI use, data sources and vendor dependencies. Too often, definitions of “AI,” “training,” or “deployment” differ between departments — a misalignment that creates governance blind spots.
By integrating legal perspectives into model development, organizations can make informed decisions about documentation, explainability and third-party exposure long before regulators start asking questions.
5. Treat AI governance as a living system
AI regulation won’t become stagnant anytime soon. As the EU AI Act takes shape, US states draft their own rules, and countries like Canada, Japan and Brazil introduce competing frameworks, compliance remains a moving target.
