An annual evaluation of AI governance processes, policies, and systems to ensure continued alignment with regulations and internal standards.
A comprehensive, scheduled audit covering all aspects of AI governance - policy updates, training completion rates, impact-assessment backlogs, model-validation coverage, incident logs, and external regulatory changes. The review includes stakeholder interviews, gap analyses against current requirements (e.g., new laws), and a published report with findings and remediation plans. It ensures the governance program evolves with the organization’s strategy and the external landscape.
Every January, a healthcare AI provider convenes its governance committee to conduct the Yearly Compliance Review: they audit that all active models have up-to-date PIAs, verify completion of ethics training, compare policies against new regional privacy laws, and deliver a report to the board with action items to close identified gaps before the next year.
