Publication Peer Review

Guidelines for Auditing AI presents a comprehensive framework for auditing AI systems, emphasizing the need for trustworthiness beyond mere compliance. It addresses the critical aspects of AI technology, including privacy, security, and fostering trust, and is designed to be universally applicable across various industries. The guidelines cover the entire AI lifecycle, from development and deployment to monitoring and decommissioning, offering auditors insights and tools to ensure the reliability and responsible innovation of intelligent systems.

The document is structured to provide foundational knowledge on AI resilience, types of AI systems, and key concepts such as responsibility, accountability, and liability. It also includes detailed sections on AI governance, applicable laws and standards, third-party supplier management, and infrastructure. By incorporating a holistic approach to AI auditing, the guidelines aim to mitigate risks, enhance transparency, and ensure that AI systems are not only compliant but truly trustworthy.