Auditing Artificial Intelligence: What you need to know about our new course

Propel yourself to the forefront of auditing through our dynamic course, "Auditing Artificial Intelligence (AI)." As the technologies of Artificial Intelligence (AI) and Machine Learning (ML) continue to merge and redefine all areas of professional life, the need for auditors adept with AI has never been more critical.

AI and ML have gained a lot of attention with their promise of improving productivity and creativity. But like most technologies, they also introduce risk to organizations. That is why internal auditors must understand the key concepts and practices necessary to audit these technologies effectively.

This advanced-level course is meticulously designed for Senior IT Auditors, Technologists, Information Security Managers and Analysts, Audit Managers, and Directors.

Meet your instructors

Jax Scott A combat veteran and founder of Outpost Gray, Scott found a perfect transition to civilian life through a career in cybersecurity. She holds a graduate degree in cybersecurity risk management from Georgetown University. Areas of interest include: Congressional Cyber Laws and Legislation, Cyber Threat Intel (CTI), Governance Risk and Compliance (GRC), Cyber Adversaries, Open Source Intel (OSINT) reporting, Cybersecurity Risk Management (CRM), Enterprise Risk Management (ERM), and more.

Dr. Hernan Murdock, CIA, CRMA is vice president - audit content for ACI Learning. He has held positions as director of training for an international audit and consulting firm, and various audit positions while leading and performing audit and consulting projects for clients in the manufacturing, transportation, high tech, education, insurance, and power generation industries.

Course Highlights (4 NASBA-approved CPE credits)

• Discover the fundamental concepts of AI and ML, exploring their promises and potential pitfalls.

• Unravel the complexities of AI Audit, Assurance, and Assessment,

• Delve into Socio-Technical Algorithm Testing to ensure the ethical deployment of these technologies.

• Address vulnerabilities in AI systems and understand the importance of ML Model Transparency and Interpretability.

Course Outline

Introduction to AI

• What is AI

• AI audit, assurance, and assessment

• Socio-technical algorithm testing

• Vulnerabilities in AI systems

Introduction to ML

• Understanding ML

• ML model transparency and interpretability

Data bias

• Evaluating data bias

• Mitigating data bias

Auditing AI and ML

• AI governance and risk management

• AI audit frameworks

• Tools and techniques for AI auditing

• Gathering evidence and report writing

Who should take this course?

This course is tailor-made for those seeking an advanced understanding of AI and ML auditing. Whether you are a seasoned Senior IT Auditor, a Technologist, an Information Security Manager or Analyst, or a director overseeing audits, this program empowers you to navigate the complexities of auditing innovative technologies.

Can’t wait to get started?

You can get a glimpse of the course before it drops – and get to know our subject matter experts teaching the course - in our recent webinar, The Skeptical Auditor: Bias and Fairness in Artificial Intelligence.