CPAs as AI Systems Evaluators
CPAs as AI Systems Evaluators
CPE Credit:
2
Overview
Description:
This course provides a concise overview of the emerging role of CPAs as independent evaluators of artificial intelligence systems. Participants will explore how established accounting competencies-including professional skepticism, assurance, internal controls, risk assessment, and evidence evaluation-can be applied to AI. The course introduces major AI standards and frameworks, common AI failure modes, evaluation techniques, governance considerations, regulatory developments, and opportunities for CPAs to provide credible AI assurance and advisory services.
This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Field of Study:
Auditing (2 CPE)
Instructor
Instructor:
Garrett Wasny, MA, CMC, CITP/FIBP
Additional Details
Who should attend:
This course is designed for CPAs, auditors, controllers, finance leaders, risk professionals, and accounting advisors seeking to understand and participate in the emerging field of AI evaluation and assurance.
Program Level:
Overview
Program Content:
The major topics that will be covered in this course include:
- The emerging CPA role in AI system evaluation
- NIST, ISO, SOC 2, COSO, and AI assurance frameworks
- AI regulatory and compliance developments
- Hallucination, bias, model drift, sycophancy, and security risks
- AI benchmarks, golden datasets, red-teaming, and performance testing
- AI governance, controls, documentation, and evidence
- AI evaluation engagements, independence, ethics, and professional liability
Learning Objectives:
After attending this presentation, you will be able to…
- Explain the emerging role of CPAs as AI system evaluators
- Identify major risks and failure modes associated with AI systems
- Apply established AI risk and assurance frameworks to evaluation engagements
- Analyze AI performance using appropriate benchmarks and testing methods
- Evaluate AI governance, controls, documentation, and vendor evidence
- Assess regulatory, ethical, independence, and liability considerations
- Design a structured approach for evaluating AI systems throughout their lifecycle
Prerequisites:
A general understanding of accounting, auditing, internal controls, or risk management is helpful. No advanced AI or data science knowledge is required.
Advanced Preparation:
None
Developed By:
Garrett Wasny
Format:
Group-Internet-Based
Course Code:
GWAICSE2
Our Partners
NASBA Sponsor
CPAs as AI Systems Evaluators
Course Code:
GWAICSE2
Program Level:
Overview
Description:
This course provides a concise overview of the emerging role of CPAs as independent evaluators of artificial intelligence systems. Participants will explore how established accounting competencies-including professional skepticism, assurance, internal controls, risk assessment, and evidence evaluation-can be applied to AI. The course introduces major AI standards and frameworks, common AI failure modes, evaluation techniques, governance considerations, regulatory developments, and opportunities for CPAs to provide credible AI assurance and advisory services.
This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Program Content:
The major topics that will be covered in this course include:
- The emerging CPA role in AI system evaluation
- NIST, ISO, SOC 2, COSO, and AI assurance frameworks
- AI regulatory and compliance developments
- Hallucination, bias, model drift, sycophancy, and security risks
- AI benchmarks, golden datasets, red-teaming, and performance testing
- AI governance, controls, documentation, and evidence
- AI evaluation engagements, independence, ethics, and professional liability
Learning Objectives:
After attending this presentation, you will be able to…
- Explain the emerging role of CPAs as AI system evaluators
- Identify major risks and failure modes associated with AI systems
- Apply established AI risk and assurance frameworks to evaluation engagements
- Analyze AI performance using appropriate benchmarks and testing methods
- Evaluate AI governance, controls, documentation, and vendor evidence
- Assess regulatory, ethical, independence, and liability considerations
- Design a structured approach for evaluating AI systems throughout their lifecycle
Who should attend:
This course is designed for CPAs, auditors, controllers, finance leaders, risk professionals, and accounting advisors seeking to understand and participate in the emerging field of AI evaluation and assurance.
Developed By:
Garrett Wasny
Instructor:
Garrett Wasny, MA, CMC, CITP/FIBP
CPE Credit:
2
Field of Study:
Auditing (2 CPE)
Prerequisites:
A general understanding of accounting, auditing, internal controls, or risk management is helpful. No advanced AI or data science knowledge is required.
Advanced Preparation:
None
Format:
Group-Internet-Based
OR
Register By Phone: Call 877.370.2220 and press “1” for the webinar hotline to register
Price
Single Registration
$89.00
Upcoming Dates
- 10/5/2026 @ 3:00 PM
- 10/16/2026 @ 10:30 AM
- 10/22/2026 @ 4:00 PM
- 10/28/2026 @ 9:30 AM
- 11/3/2026 @ 6:00 PM
- 11/9/2026 @ 12:30 PM
- 11/20/2026 @ 4:00 PM
- 11/28/2026 @ 12:00 PM
- 12/2/2026 @ 12:30 PM
- 12/8/2026 @ 10:30 AM
- 12/14/2026 @ 9:00 AM
- 12/19/2026 @ 11:00 AM
- 12/31/2026 @ 3:00 PM
- 1/6/2027 @ 1:30 PM
- 1/12/2027 @ 11:00 AM
- 1/18/2027 @ 3:30 PM
- 1/29/2027 @ 1:00 PM
- 2/4/2027 @ 12:00 PM
- 2/10/2027 @ 1:30 PM
- 2/16/2027 @ 9:00 AM
- 2/22/2027 @ 11:00 AM
- 3/5/2027 @ 12:00 PM
- 3/11/2027 @ 1:00 PM
- 3/17/2027 @ 1:00 PM
- 3/23/2027 @ 9:00 AM
- 3/29/2027 @ 9:30 AM
- 4/9/2027 @ 3:00 PM
- 4/15/2027 @ 9:30 AM
- 4/21/2027 @ 9:30 AM
- 4/27/2027 @ 6:00 PM
All times are Eastern Time Zone
