Cover image for Auditing Artificial Intelligence

Auditing Artificial Intelligence

Assess AI risks, governance, controls, and responsible oversight

HMJS

Created by Hernan Murdock, Jax Scott

Explore the essentials of artificial intelligence and machine learning from an audit perspective. Build your understanding of AI risks, governance, and oversight, and learn how to identify and address data bias and model transparency. Develop practical skills for assessing and managing AI in organizational settings.

ACI | Aug 2026 | 241 min

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Level
Beginner
Categories
Financial Services, Audit, Assurance & Internal Controls, Internal Audit & Controls

What You Will Learn

You'll start by building a solid foundation in AI and machine learning concepts, then move into governance, risk, and control considerations. Real-world examples and guided explanations help you connect theory to practice, so you can confidently assess and recommend oversight strategies for AI systems.

Key Features

  • Learn to spot key AI and machine learning concepts relevant to audit work
  • Analyze organizational risks and controls tied to AI and ML systems
  • Evaluate governance strategies for responsible and transparent AI oversight

Target Audience

Ideal for internal auditors, audit managers, risk professionals, and assurance practitioners at the beginner level. Whether you're new to AI or refreshing your knowledge, you'll gain practical tools to identify AI risks, evaluate controls, and support sound decision-making in your organization.

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