Auditing Generative AI
Strategy, Analysis & Risk Mitigation
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.
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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.
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.
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Syllabus
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Activities
Review Concepts from Probability and Statistics
Show steps
Brush up on probability and statistics, as they are fundamental to understanding the behavior and risks associated with generative AI.
Browse courses on
Probability
Show steps
-
Review your notes or textbooks on probability and statistics.
-
Solve practice problems or take online quizzes to test your understanding.
-
Consider taking a refresher course or workshop on probability and statistics.
Review Data Structures and Algorithms
Show steps
Refresh your knowledge of data structures and algorithms, as they are essential for understanding generative AI.
Browse courses on
Data Structures
Show steps
-
Review notes and textbooks on data structures and algorithms.
-
Solve practice problems on platforms like LeetCode or HackerRank.
-
Attend a workshop or online course on data structures and algorithms.
Follow generative AI video tutorials and workshops
Show steps
Expand your knowledge and learn from experts by exploring video tutorials and workshops on generative AI.
Browse courses on
Generative AI
Show steps
-
Search for online tutorials and workshops on generative AI
-
Select tutorials that cover topics relevant to your interests
-
Follow the tutorials step-by-step and complete the exercises
Seven other activities
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Follow Tutorials on Generative AI Frameworks
Show steps
Stay up-to-date with the latest generative AI frameworks by following tutorials and online courses.
Browse courses on
Deep Learning
Show steps
-
Identify popular generative AI frameworks used in the industry, such as TensorFlow or PyTorch.
-
Find online tutorials or courses that cover the fundamentals of these frameworks.
-
Work through the tutorials and complete the hands-on exercises.
Solve Generative AI code challenges
Show steps
Enhance your technical skills and understanding of generative AI algorithms through hands-on coding exercises.
Browse courses on
Generative AI
Show steps
-
Find online coding challenges related to generative AI
-
Attempt to solve the challenges using appropriate coding techniques
-
Review solutions and identify areas for improvement
Participate in Study Groups on Generative AI Auditing
Show steps
Collaborate with peers to discuss course concepts, share insights, and work on assignments together.
Show steps
-
Form or join a study group with other students enrolled in the course.
-
Set regular meeting times to discuss course materials, case studies, and assignments.
-
Prepare discussion topics, questions, or summaries to facilitate group discussions.
Design and build a simple generative AI model
Show steps
Develop practical experience in applying generative AI techniques by creating your own basic model.
Browse courses on
Generative AI
Show steps
-
Choose a specific generative AI approach (e.g., GAN, Transformer)
-
Gather and prepare a relevant dataset
-
Train and evaluate your model
-
Refine the model based on evaluation results
Practice Auditing Generative AI Models
Show steps
Regularly practice auditing generative AI models to improve your skills and identify potential risks.
Browse courses on
Generative AI
Show steps
-
Use online platforms or textbooks to find practice exercises or case studies.
-
Conduct mock audits of generative AI models used in different industries.
-
Join online communities or forums where you can discuss audit techniques and share best practices.
Write a blog post or article on a specific generative AI topic
Show steps
Demonstrate your understanding and communicate your knowledge by sharing your insights on a generative AI topic.
Browse courses on
Generative AI
Show steps
-
Choose a specific generative AI topic to focus on
-
Research the topic thoroughly
-
Develop an outline for your writing
-
Write and edit your blog post or article
-
Publish your writing on an online platform
Develop a Case Study on Auditing Generative AI in a Specific Industry
Show steps
Enhance your understanding of generative AI auditing by developing a case study that applies audit techniques to a real-world scenario.
Browse courses on
Case Studies
Show steps
-
Identify an industry or use case where generative AI is being implemented.
-
Research the specific generative AI models and techniques used in that industry.
-
Develop an audit plan that outlines the steps and procedures you would take to audit the generative AI implementation.
-
Execute the audit plan and document your findings and recommendations.
Review Concepts from Probability and Statistics
Show steps
Brush up on probability and statistics, as they are fundamental to understanding the behavior and risks associated with generative AI.
Browse courses on
Probability
Show steps
- Review your notes or textbooks on probability and statistics.
- Solve practice problems or take online quizzes to test your understanding.
- Consider taking a refresher course or workshop on probability and statistics.
Review Data Structures and Algorithms
Show steps
Refresh your knowledge of data structures and algorithms, as they are essential for understanding generative AI.
Browse courses on
Data Structures
Show steps
- Review notes and textbooks on data structures and algorithms.
- Solve practice problems on platforms like LeetCode or HackerRank.
- Attend a workshop or online course on data structures and algorithms.
Follow generative AI video tutorials and workshops
Show steps
Expand your knowledge and learn from experts by exploring video tutorials and workshops on generative AI.
Browse courses on
Generative AI
Show steps
- Search for online tutorials and workshops on generative AI
- Select tutorials that cover topics relevant to your interests
- Follow the tutorials step-by-step and complete the exercises
Follow Tutorials on Generative AI Frameworks
Show steps
Stay up-to-date with the latest generative AI frameworks by following tutorials and online courses.
Browse courses on
Deep Learning
Show steps
- Identify popular generative AI frameworks used in the industry, such as TensorFlow or PyTorch.
- Find online tutorials or courses that cover the fundamentals of these frameworks.
- Work through the tutorials and complete the hands-on exercises.
Solve Generative AI code challenges
Show steps
Enhance your technical skills and understanding of generative AI algorithms through hands-on coding exercises.
Browse courses on
Generative AI
Show steps
- Find online coding challenges related to generative AI
- Attempt to solve the challenges using appropriate coding techniques
- Review solutions and identify areas for improvement
Participate in Study Groups on Generative AI Auditing
Show steps
Collaborate with peers to discuss course concepts, share insights, and work on assignments together.
Show steps
- Form or join a study group with other students enrolled in the course.
- Set regular meeting times to discuss course materials, case studies, and assignments.
- Prepare discussion topics, questions, or summaries to facilitate group discussions.
Design and build a simple generative AI model
Show steps
Develop practical experience in applying generative AI techniques by creating your own basic model.
Browse courses on
Generative AI
Show steps
- Choose a specific generative AI approach (e.g., GAN, Transformer)
- Gather and prepare a relevant dataset
- Train and evaluate your model
- Refine the model based on evaluation results
Practice Auditing Generative AI Models
Show steps
Regularly practice auditing generative AI models to improve your skills and identify potential risks.
Browse courses on
Generative AI
Show steps
- Use online platforms or textbooks to find practice exercises or case studies.
- Conduct mock audits of generative AI models used in different industries.
- Join online communities or forums where you can discuss audit techniques and share best practices.
Write a blog post or article on a specific generative AI topic
Show steps
Demonstrate your understanding and communicate your knowledge by sharing your insights on a generative AI topic.
Browse courses on
Generative AI
Show steps
- Choose a specific generative AI topic to focus on
- Research the topic thoroughly
- Develop an outline for your writing
- Write and edit your blog post or article
- Publish your writing on an online platform
Develop a Case Study on Auditing Generative AI in a Specific Industry
Show steps
Enhance your understanding of generative AI auditing by developing a case study that applies audit techniques to a real-world scenario.
Browse courses on
Case Studies
Show steps
- Identify an industry or use case where generative AI is being implemented.
- Research the specific generative AI models and techniques used in that industry.
- Develop an audit plan that outlines the steps and procedures you would take to audit the generative AI implementation.
- Execute the audit plan and document your findings and recommendations.
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