Which framework is recognized for assisting with AI auditing?

The COSO Enterprise Risk Management Framework is recognized for its structured approach to identifying and managing risks, which includes the governance of artificial intelligence (AI) systems. It provides organizations with guidelines and principles to assess risks associated with AI, ensuring that decision-making processes are robust and aligned with the overall risk appetite of the organization.

This framework is particularly relevant for AI auditing because it emphasizes the importance of risk assessment, control activities, and monitoring processes, all crucial for evaluating AI systems' performance and compliance. By integrating these components, organizations can systematically review how AI technologies impact strategic objectives and regulatory obligations, thereby enhancing transparency and trustworthiness in AI applications.

In contrast, while ISO 9001 focuses on quality management and continuous improvement, and SWOT analysis evaluates strengths, weaknesses, opportunities, and threats, neither of these frameworks specifically addresses the nuances and requirements of AI auditing. PESTLE analysis considers external factors affecting an organization, but it does not provide a comprehensive methodology for assessing the risks and controls associated with AI technologies.