Auditing Generative AI: Strategy, Analysis & Risk Mitigation
By External Provider
About this course
Rapid advancements of generative AI technologies has heightened the criticality of an auditors ability to provide assurance that generative AI implementations meet business objectives and are free of bias. This course introduces IT auditors to generative AI, discusses the importance of AI strategy, explores use cases and addresses challenges associated with auditing generative AI. With background information established, auditors are introduced to important considerations, an auditing methodology and process to successfully audit generative AI. This course leverages video, use cases, and knowledge checks to enhance your learning experience. Why This Course Matters: This course equips individuals with the necessary skills to navigate the complexities of auditing generative AI effectively, covering essential concepts, strategy formulation, risk evaluation, and auditing methodologies. By addressing unique challenges and providing assurance, auditors are empowered to mitigate concerns and contribute to the responsible use of generative AI technologies.
What you will learn
- Gain an understanding of the fundamental principles and hurdles encountered in Generative AI.
- Acquire the skills to identify and dissect the role of Generative AI within broader AI strategies.
- Enhance your understanding by comprehending and crafting methodologies and guidelines specific to auditing Generative AI.
- Recognize and overcome unique auditing challenges related to Generative AI to mitigate auditing concerns.