The Center's research advances AI governance from foundational principle to deployable instrument. Our work is organized into three bodies. Monographs present the book-length, standards-aligned treatments that establish the conceptual and practical foundation for governed AI across the lifecycle. White Papers offer focused investigations and empirical findings that test those frameworks against evidence, surface failure modes, and set measurable standards for reliability and trust. Models provide the operational output of that inquiry: the frameworks, metrics, and interactive artifacts built to make governance auditable, repeatable, and ready for real-world application. Together they trace a single arc, from the ideas that ground responsible AI to the tools that put it into practice.