AI Risk Management for Accountants: Deep Dive

This course provides a concise overview of the evolving AI risk landscape confronting accountants in both public practice and corporate/industry roles. You will examine emerging regulatory frameworks (AIDA, EU AI Act, NIST AI RMF, ISO/IEC 42001), robust data-governance measures, bias-mitigation techniques, cybersecurity safeguards, and internal-control designs that keep AI-driven finance functions reliable, ethical, and defensible. Real-world cases and interactive exercises illustrate how to embed human-in-the-loop oversight, monitor model performance, and document controls so that any accounting team—whether delivering audit & tax services or running in-house finance operations—can innovate with confidence


Course Description
You will examine emerging regulatory frameworks (AIDA, EU AI Act, NIST AI RMF, ISO/IEC 42001), robust data-governance measures, bias-mitigation techniques, cybersecurity safeguards, and internal-control designs that keep AI-driven finance functions reliable, ethical, and defensible. Real-world cases and interactive exercises illustrate how to embed human-in-the-loop oversight, monitor model performance, and document controls so that any accounting team—whether delivering audit & tax services or running in-house finance operations—can innovate with confidence.

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 all accounting settings
  • compare major regulatory and assurance frameworks shaping 2025 compliance
  • evaluate data-governance strategies that protect confidentiality and integrity
  • mitigate algorithmic bias through testing, tuning, and diverse data sets
  • implement cybersecurity and vendor-risk controls for AI deployments
  • design internal-control procedures that ensure transparency and auditability
  • communicate AI-related risks and controls 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


What to Expect

  •  Two emails will be sent from CPA Manitoba following your registration: one to confirm your order and one including information on how to access the course through your Learning Hub.
  • Once sent, these emails can also be found in the Communication tab of your CPA Manitoba Member Portal.
  • Course materials, links and credentials can be found in your Learning Hub no less than two business days prior to the seminar.
  • This is a Live Virtual seminar where class size has been limited to allow for an interactive learning environment.
  • This seminar will not be recorded.
  • Live webinars have varying levels of expected interaction, with many requiring webcam and microphone capabilities. 

    If you have concerns about the interaction required for this course or any other questions about this course, please email [email protected].  

    CPA Manitoba PD Terms and Conditions: https://cpamb.ca/pd/pd/Terms-and-Conditions.aspx
    For questions regarding this course, including registration and access, email [email protected]
When
9/29/2025 3:00 PM - 6:30 PM
Central Daylight Time

Options

Monday, 29 September 2025

Description
Time
3:00 PM - 6:30 PM
9/29/2025 3:00 PM

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