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AI, Technology & Innovation
AI Risk Management for Accountants: A Deep Dive (In-Person)
DELIVERY FORMAT
In Person
SEMINAR TYPE
PD Seminar
You are currently viewing the description and registration page for the
In Person
delivery format. To view and register for other available formats, click on your selection below.
Overview
As artificial intelligence becomes increasingly integrated into accounting and finance functions, organizations must effectively manage the risks associated with its use. This course explores the evolving AI risk landscape and provides practical guidance on governance, regulatory compliance, data protection, cybersecurity, and internal controls. Participants will gain a framework for evaluating and managing AI-related risks while supporting the responsible, reliable, and ethical use of AI within accounting and finance environments.
Applicable for
Public-practice CPAs, corporate controllers, finance leaders, and risk or IT professionals who need a unified, cross-sector framework to manage AI risks effectively.
Learning Objectives
Participants will be able to:
- Identify key AI risk domains relevant to accounting and finance environments.
- Compare major regulatory and assurance frameworks shaping AI governance and compliance.
- Evaluate data governance strategies that protect confidentiality and information integrity.
- Mitigate algorithmic bias through testing, monitoring, and data management practices.
- Implement cybersecurity and vendor risk controls for AI deployments.
- Design internal control procedures that support transparency, accountability, and auditability.
- Communicate AI-related risks and controls effectively to stakeholders and leadership.
Content
- mapping the 2025 AI risk landscape for accountants
- global & Canadian regulatory frameworks and assurance expectations
- data governance, privacy-impact assessments, and confidentiality controls
- detecting and mitigating algorithmic bias & fairness issues
- cybersecurity, adversarial attacks, and third-party vendor due diligence
- designing and monitoring AI-enabled internal controls
- human oversight, documentation, and continuous-improvement loops.
Registration terms and conditions, including the cancellation policy can be found here. If you require further assistance, please contact the PD Department.
Course Dates & Registration
Course Details
Cost
$210
Members
$235
Non-Members
Eligible Hours
- 3.5
- CPD Hours
- 0
- Ethics Hours
- 0
- AML Hours
Passport
- 5
- Credits
Interested in similar content?
Starting April 1, 2026, a 2.1% fee will be applied to all credit card transactions. Learn more about this fee and how it relates to PD registrations.
AI, Technology & Innovation
AI Risk Management for Accountants: A Deep Dive (In-Person)
DELIVERY FORMAT
In Person
SEMINAR TYPE
PD Seminar
You are currently viewing the description and registration page for the
In Person
delivery format. To view and register for other available formats, click on your selection below.
Course Details
Cost
$210
Members
$235
Non-Members
Eligible Hours
- 3.5
- CPD Hours
- 0
- Ethics Hours
- 0
- AML Hours
Passport
- 5
- Credits
Overview
As artificial intelligence becomes increasingly integrated into accounting and finance functions, organizations must effectively manage the risks associated with its use. This course explores the evolving AI risk landscape and provides practical guidance on governance, regulatory compliance, data protection, cybersecurity, and internal controls. Participants will gain a framework for evaluating and managing AI-related risks while supporting the responsible, reliable, and ethical use of AI within accounting and finance environments.
Applicable for
Public-practice CPAs, corporate controllers, finance leaders, and risk or IT professionals who need a unified, cross-sector framework to manage AI risks effectively.
Learning Objectives
Participants will be able to:
- Identify key AI risk domains relevant to accounting and finance environments.
- Compare major regulatory and assurance frameworks shaping AI governance and compliance.
- Evaluate data governance strategies that protect confidentiality and information integrity.
- Mitigate algorithmic bias through testing, monitoring, and data management practices.
- Implement cybersecurity and vendor risk controls for AI deployments.
- Design internal control procedures that support transparency, accountability, and auditability.
- Communicate AI-related risks and controls effectively to stakeholders and leadership.
Content
- mapping the 2025 AI risk landscape for accountants
- global & Canadian regulatory frameworks and assurance expectations
- data governance, privacy-impact assessments, and confidentiality controls
- detecting and mitigating algorithmic bias & fairness issues
- cybersecurity, adversarial attacks, and third-party vendor due diligence
- designing and monitoring AI-enabled internal controls
- human oversight, documentation, and continuous-improvement loops.
Registration terms and conditions, including the cancellation policy can be found here. If you require further assistance, please contact the PD Department.
Course Dates & Registration
Interested in similar content?
Starting April 1, 2026, a 2.1% fee will be applied to all credit card transactions. Learn more about this fee and how it relates to PD registrations.
Garrett Wasny, MA, CMC, CITP/FITP is a Certified Management Consultant, AI educator, and digital transformation advisor specializing in the accounting profession. An award-winning instructor recognized with the 2025 MYCPE Award for innovation in professional education, Garrett has trained tens of thousands of CPAs and accountants in more than 60 countries. His programs focus on practical applications of artificial intelligence, helping financial professionals strengthen judgment, governance, and decision-making in an AI-driven world.