Topic

AI Competence Assessment

AI competence assessment refers to the evaluation of an organization's or individual's knowledge, skills, and capabilities in developing, deploying, and managing artificial intelligence systems responsibly. This matters for governance and compliance because organizations need to identify gaps in AI expertise across technical, ethical, and regulatory domains to ensure teams can properly implement controls, mitigate risks, and maintain accountability. Regular competence assessments help enterprises demonstrate due diligence to regulators and stakeholders that their workforce understands AI-specific risks and can operate systems within established governance frameworks.

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ResearchUS2026-07-03

NACD Board AI Governance Guide Puts Director Competency and ERM Integration at the Center of Oversight Accountability

The National Association of Corporate Directors (NACD) has published 'Director Essentials: Implementing AI Governance,' a practical guide establishing what boards must do to govern AI responsibly at the enterprise level. The guide calls on directors to integrate AI risk into enterprise risk management frameworks, assess their own AI competency, update committee charters, and establish AI-specific KPIs. Compliance teams can use the guidance to benchmark board-level accountability structures and identify gaps in governance program design.

board oversight AI competence assessment ERM integration committee charters NACD director accountability AI governance enterprise risk management