Publications
Co-authored with the institutions that define governance standards. Every publication is peer-reviewed, primary-sourced, and built for practitioners.
Co-authored with the institutions that define governance standards. Every publication is peer-reviewed, primary-sourced, and built for practitioners.
A strategic guide for private company boards on AI governance as both a fiduciary obligation and a strategic opportunity. Written for directors who need governance competency rather than a technology tutorial, it moves from the fiduciary case for board oversight to a practical blueprint and a director's toolkit for building governance that supports faster, more confident AI decisions.
A tool to support implementation of the IIA AI Auditing Framework.
A practical tool that equips internal auditors and governance professionals to provide strategic assurance over AI governance. It defines the AI governance program as the primary auditable entity and gives internal audit a structured way to assess the program's design adequacy and operating effectiveness.
Research, frameworks, and analysis supporting the Center's oversight governance thesis.
Overview of the 76-control maturity model across 5 pillars and 14 domains. The foundational framework mapped to NIST AI RMF, ISO 42001, the EU AI Act, and the Caremark standard.
Analysis of board-level oversight liability applied to AI governance. Traces the Caremark doctrine through Marchand and Boeing to establish why AI oversight is now a fiduciary obligation.
Analysis of AI oversight governance developments across the U.S., EU, UK, and Asia-Pacific. Regulatory signals, enforcement trends, and litigation indicators.
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