Which of the following methods is necessary for monitoring AI compliance?

Regular evaluations and audits are essential for monitoring AI compliance because they provide a structured and comprehensive way to assess whether AI systems are operating in accordance with established laws, regulations, and ethical standards. These evaluations involve systematically reviewing processes, data handling practices, and decision-making outcomes to ensure they align with compliance requirements and organizational policies.

Regular checks allow organizations to identify potential risks and areas for improvement before they lead to significant compliance issues. Moreover, ongoing evaluations help to adapt to evolving regulations and adapt to changes in technology and data practices, which is critical in the fast-paced AI landscape.

While relying on automated alerts can assist in identifying issues promptly, it may not provide the depth of analysis required for compliance assessment. Annual reviews, although beneficial, may not be frequent enough to catch issues that could arise throughout the year. Infrequent spot checks do not provide a thorough understanding of continuous compliance, making them insufficient as a standalone monitoring method. Regular evaluations and audits, therefore, stand out as the most effective method for ongoing compliance monitoring within AI governance.