What aspect does AI governance aim to address through audits?

AI governance primarily aims to ensure that the development and deployment of artificial intelligence systems comply with legal requirements and ethical standards. This is increasingly important as AI technologies evolve and integrate into various sectors. Audits in AI governance focus on assessing whether AI systems align with relevant laws, regulations, and policies, thereby addressing legal uncertainties and ensuring compliance with data protection and privacy laws.

Legal uncertainties can arise from the fast-paced development of AI technologies, which may not always be covered by existing regulations. By conducting audits, organizations can evaluate their AI systems to ensure they mitigate legal risks and adhere to best practices.

Technological advancements, market competition, and data storage limitations are aspects related to the broader context of AI but do not specifically focus on the governance objectives, legal frameworks, or compliance measures that audits are designed to address.