An ML audit aims to determine whether an organization's development, validation, governance, and deployment of AI models were conducted per established protocols and procedures. Both performance audit and compliance audit elements may be present in an audit of machine learning algorithms. ML audit ensures identifying associated risks and developing safeguard controls to avoid risks.