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.
Auditing Generative AI: Strategy, Analysis & Risk Mitigation
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Auditing Generative AI: Strategy, Analysis & Risk Mitigation
Instructor: ISACA Professional Development Team
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(11 reviews)
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll 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.
Skills you'll gain
Details to know
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Recently updated!
July 2024
Assessments
10 assignments
Taught in English
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There is 1 module in this course
What's included
10 videos4 readings10 assignments
Instructor
Offered by
Recommended if you're interested in Machine Learning
University of Illinois Urbana-Champaign
University of Glasgow
University of Michigan
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