Using AI in an Audit (Completed)
Date: Wednesday, June 3, 2026
Instructor: Robert K Minniti
| Begin Time: |
11:00am Pacific Time 12:00pm Mountain Time 1:00pm Central Time 2:00pm Eastern Time |
| CPE Credit: |
2 hours for CPAs |
|
This course introduces auditors and financial professionals to the rapidly evolving landscape of artificial intelligence (AI) and its practical application in modern auditing environments. As firms increasingly incorporate machine learning, natural language processing, and advanced data analytics into their workflows, AI is becoming a critical tool for enhancing audit quality, streamlining procedures, and strengthening fraud detection.
In this course, you will explore real-world examples of how AI supports risk assessment, transaction testing, anomaly detection, document review, and audit sampling. The course also addresses the limitations and risks associated with AI—including model bias, data integrity challenges, and overreliance on automation—while reinforcing the ethical, regulatory, and professional standards auditors must follow. Participants will leave with a practical understanding of how to integrate AI responsibly, efficiently, and ethically into the audit process.
Who Should Attend
This course is designed for professionals seeking to modernize their audit practices and responsibly integrate AI technologies into their workflow.
Topics Covered
- AI fundamentals: machine learning, NLP, and data analytics for auditors
- Audit standards and emerging guidance related to AI use
- Integrating AI into audit procedures (risk assessment, sampling, testing)
- AI limitations, risks, and model governance
- Ethical considerations, independence, and data privacy
- Best practices for balancing automation with professional judgment
Learning Objectives
- Identify practical ways AI technologies can be incorporated into audit planning and procedures
- Evaluate the limitations, risks, and constraints of AI-based audit tools
- Apply ethical considerations and professional standards when using AI in audit engagements
- Analyze how AI supports risk assessment, fraud detection, and transaction-level testing
- Determine when human professional judgment must complement or override AI outputs
Level
Basic
Instructional Method
Group: Internet-based
NASBA Field of Study
Auditing (2 hours)
Program Prerequisites
None
Advance Preparation
None