Critical Thinking and Skepticism in AI-Augmented CPA Work

Critical Thinking and Skepticism in AI-Augmented CPA Work

CPE Credit:
2

Overview

Description:
This course provides a concise overview of critical thinking and professional skepticism in AI-augmented CPA work. As artificial intelligence increasingly performs drafting, analysis, calculation, research, and other preparation tasks, CPAs are shifting toward higher-value roles involving review, verification, challenge, and professional judgment. Participants will examine professional standards, human cognitive biases, AI failure modes, evidence requirements, questioning techniques, vendor claims, documentation practices, and firm-level controls. The course emphasizes a central principle: AI output should be treated as an unverified claim requiring appropriate human challenge before professional reliance. 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:
Information Technology (2 CPE)

Instructor

Instructor:
Garrett Wasny, MA, CMC, CITP/FIBP

Additional Details

Who should attend:
This course is designed for CPAs, auditors, tax professionals, accountants, controllers, finance leaders, and firm managers who use or oversee AI-assisted professional work and need to strengthen verification, judgment, and accountability.
Program Level:
Overview
Program Content:

The major topics that will be covered in this course include:

  • Professional skepticism and existing CPA standards
  • Six traits of the skeptical professional mind
  • Automation bias and other AI-related cognitive biases
  • Evidence and verification rules for AI outputs
  • Practical questioning and challenge techniques
  • Vendor claims, benchmarks, and AI due diligence
  • Review, documentation, accountability, and skeptical firm culture

 

Learning Objectives:

After attending this presentation, you will be able to…

  • Explain how professional skepticism applies to AI-augmented CPA work
  • Identify cognitive biases and AI failure modes that can impair professional judgment
  • Analyze AI-generated outputs using appropriate evidence and reliability principles
  • Apply questioning techniques to challenge AI conclusions, assumptions, citations, and calculations
  • Evaluate vendor claims, benchmarks, and AI system performance with appropriate skepticism
  • Design risk-based verification and documentation procedures for AI-assisted work
  • Develop practices that strengthen skepticism, accountability, and professional judgment within CPA firms

 

Prerequisites:
A general understanding of accounting, auditing, tax, or professional CPA practice is recommended; prior technical knowledge of artificial intelligence is not required.
Advanced Preparation:
None
Developed By:
Garrett Wasny
Format:
Group-Internet-Based
Course Code:
GWAICTS2

Registration:

$89.00

Attendee Information

Please select one of the following options to register for this webinar:

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Critical Thinking and Skepticism in AI-Augmented CPA Work

Course Code:
GWAICTS2
Program Level:
Overview
Description:
This course provides a concise overview of critical thinking and professional skepticism in AI-augmented CPA work. As artificial intelligence increasingly performs drafting, analysis, calculation, research, and other preparation tasks, CPAs are shifting toward higher-value roles involving review, verification, challenge, and professional judgment. Participants will examine professional standards, human cognitive biases, AI failure modes, evidence requirements, questioning techniques, vendor claims, documentation practices, and firm-level controls. The course emphasizes a central principle: AI output should be treated as an unverified claim requiring appropriate human challenge before professional reliance. 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:

  • Professional skepticism and existing CPA standards
  • Six traits of the skeptical professional mind
  • Automation bias and other AI-related cognitive biases
  • Evidence and verification rules for AI outputs
  • Practical questioning and challenge techniques
  • Vendor claims, benchmarks, and AI due diligence
  • Review, documentation, accountability, and skeptical firm culture

 

Learning Objectives:

After attending this presentation, you will be able to…

  • Explain how professional skepticism applies to AI-augmented CPA work
  • Identify cognitive biases and AI failure modes that can impair professional judgment
  • Analyze AI-generated outputs using appropriate evidence and reliability principles
  • Apply questioning techniques to challenge AI conclusions, assumptions, citations, and calculations
  • Evaluate vendor claims, benchmarks, and AI system performance with appropriate skepticism
  • Design risk-based verification and documentation procedures for AI-assisted work
  • Develop practices that strengthen skepticism, accountability, and professional judgment within CPA firms

 

Who should attend:
This course is designed for CPAs, auditors, tax professionals, accountants, controllers, finance leaders, and firm managers who use or oversee AI-assisted professional work and need to strengthen verification, judgment, and accountability.
Developed By:
Garrett Wasny
Instructor:
Garrett Wasny, MA, CMC, CITP/FIBP
CPE Credit:
2
Field of Study:
Information Technology (2 CPE)
Prerequisites:
A general understanding of accounting, auditing, tax, or professional CPA practice is recommended; prior technical knowledge of artificial intelligence is not required.
Advanced Preparation:
None
Format:
Group-Internet-Based

Registration:

$89.00

Attendee Information

Please select one of the following options to register for this webinar:

OR

Register By Phone: Call 877.370.2220 and press “1” for the webinar hotline to register

Price

Single Registration
$89.00

Upcoming Dates

  • 10/9/2026 @ 10:30 AM
  • 10/13/2026 @ 10:30 AM
  • 10/21/2026 @ 9:00 AM
  • 10/27/2026 @ 2:30 PM
  • 11/2/2026 @ 10:00 AM
  • 11/13/2026 @ 9:00 AM
  • 11/20/2026 @ 9:30 AM
  • 11/24/2026 @ 4:00 PM
  • 12/1/2026 @ 11:00 AM
  • 12/7/2026 @ 1:00 PM
  • 12/18/2026 @ 12:30 PM
  • 12/24/2026 @ 12:00 PM
  • 12/28/2026 @ 2:00 PM
  • 1/7/2027 @ 1:00 PM
  • 1/11/2027 @ 9:30 AM
  • 1/19/2027 @ 12:00 PM
  • 1/28/2027 @ 9:30 AM
  • 2/3/2027 @ 4:00 PM
  • 2/9/2027 @ 4:00 PM
  • 2/15/2027 @ 9:30 AM
  • 2/26/2027 @ 9:30 AM
  • 3/4/2027 @ 9:00 AM
  • 3/10/2027 @ 12:00 PM
  • 3/16/2027 @ 9:00 AM
  • 3/22/2027 @ 9:00 AM
  • 3/30/2027 @ 6:00 PM
  • 4/8/2027 @ 10:00 AM
  • 4/14/2027 @ 3:00 PM
  • 4/22/2027 @ 1:00 PM
  • 4/26/2027 @ 9:00 AM

All times are Eastern Time Zone

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