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  1. Courses
  2. /Information Technology
  3. /Artificial Intelligence

Mastering the Machine: Auditing AI (Updated for 2026!)

A Practical Guide to AI Risk, Controls, and Audit Testing

Created byElizabeth McDowellworkspace_premiumBest Instructor
BeginnerUpdated Jul 21, 2026

What You'll Learn

  • check_circleIdentify where AI may be used across an organization, including approved tools, embedded vendor AI, and shadow AI
  • check_circleExplain key AI risk categories, including governance, data protection, model reliability, bias, transparency, cybersecurity, and third-party AI.
  • check_circleRecognize common AI risk indicators and red flags that may signal weak oversight, inadequate controls, or unmanaged AI use
  • check_circleEvaluate whether AI controls are designed to match the risk of the use case, including data sensitivity, decision impact, automation level, and business criticality
  • check_circleDevelop practical internal audit procedures to test AI governance, inventory, data protection, validation, documentation, security, and third-party oversight controls

About This Course

Artificial intelligence is creating new opportunities for organizations, but it is also introducing new risks that internal auditors need to understand. Updated for 2026, this course incorporates current AI risk themes, recent news examples, and practical control considerations for today’s rapidly evolving AI environment.

This course helps auditors move beyond AI buzzwords and focus on the practical audit questions that matter: where AI is being used, what risks it creates, what controls should be in place, and how those controls can be tested.

Participants will explore key AI risk categories, including governance, inventory and use cases, data protection and privacy, model performance and reliability, bias and fairness, transparency, cybersecurity and AI misuse, and third-party and embedded AI. The course also connects those risks to specific internal controls and testing procedures, giving auditors a practical framework for evaluating whether AI safeguards are designed appropriately and operating effectively.

By the end of the course, participants will be better prepared to assess AI use cases, identify red flags, ask stronger audit questions, and provide meaningful assurance over AI-related risks without needing to become AI engineers.

Course Content

13 activities • 12 videos • duration: 2h 34m

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Introduction to Auditing AI1 videos • 10 min
  • videocamIntroduction to Auditing AI
    Duration 10:51
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AI Risk Categories Overview1 videos • 1 quiz • 18 min
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AI Inventory and Use Cases1 videos • 13 min
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Data Protection and Privacy1 videos • 1 quiz • 11 min
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Model Performance and Reliability1 videos • 16 min
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Bias and Fairness1 videos • 1 quiz • 11 min
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Transparency and Explainability1 videos • 9 min
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Cybersecurity and AI Misuse1 videos • 1 quiz • 10 min
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Third-Party and Embedded AI1 videos • 10 min
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AI Governance Controls1 videos • 1 quiz • 15 min
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Fairness and Transparency Controls1 videos • 11 min
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Security & Oversight and Third Party AI Oversight1 videos • 1 quiz • 15 min
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Final Assessment1 quiz

Your Instructor

Elizabeth McDowell

Audit Smarter, not Harder - with Elizabeth and Audie the Internal Otteror!

menu_book32 courses
star1,248 reviews

Elizabeth McDowell, CPA, CIA has over 20 years of audit experience and is the founder of Audit Forward, an innovative internal audit consulting and training firm. Elizabeth is passionate about advancing and advocating for the internal audit profession and was recognized as one of the 2023 Internal Audit Beacons by Richard Chambers. Elizabeth makes auditing and training fun (no, really!) with the help of her mascot, Audie the Internal Otteror. Elizabeth’s most recent industry experience was at Achieve, where she was Sr. Director, Audit Strategy; prior to that, she held internal audit leadership roles at Elevations Credit Union, Fidelity Investments, and Xcel Energy after first starting her career at Ernst & Young.

Credit Information

Is this course eligible for my CPD requirements as a Canadian CPA?

Provincial regulators of CPAs in Canada do not require that independent providers of CPD be approved to offer courses. Instead, individual CPAs are responsible for assessing whether a CPD activity meets their requirements, and may take activities from any source provided those requirements are met.

Every course offered on LearnFormula is delivered by a qualified subject matter expert or learning organization, and advances learning objectives that are relevant to the responsibilities or professional competencies of Canadian CPAs. All activities on LearnFormula are quantifiable in terms of hours, and are also verifiable, in that users receive documented evidence of their attendance via a certificate of completion after finishing a course (and this certificate is stored by LearnFormula indefinitely). Nearly 100,000 Canadian CPAs successfully satisfy their CPD requirements via LearnFormula on an annual basis.

What Students Are Saying

5.0 out of 5
Student's Choice
12 reviews
  • YM
    Ying Juan M.
    starstarstarstarstar

    This is good course and very valuable.

  • OF
    Olivia F.
    starstarstarstarstar

    very useful

Frequently Asked Questions

We are a registered provider with 300+ associations and regulatory bodies worldwide. We operate across 27 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.

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