This course provides an in-depth exploration of the auditing frameworks and practices specifically designed for artificial intelligence (AI) and machine learning (ML) technologies. Participants will gain an understanding of the increasing adoption of AI and ML in organizations and the corresponding need for tailored auditing approaches to address the associated risks. The course covers both technology and compliance risks in AI and ML auditing, examining key areas of focus for auditors, relevant laws and regulations, and real-world case studies. Participants will learn best practices for auditing AI and ML technologies and explore the future directions and challenges of this rapidly evolving field. Field of Study: Information Technology