AI Models Explained for Auditors | AAIA Certification Part A (2026)

Can you audit an AI that nobody can explain? 🤖 In Part A of the AAIA Certification 2026 series, you'll learn the types of AI, how machine learning works, and the business, privacy, ethical and legal questions every AI auditor must ask. No jargon overload. 🎯 You'll learn: Narrow, general and generative AI Supervised, unsupervised, reinforcement and deep learning Bias, overfitting, hallucination and model drift AI strategy, risks, privacy, regulation, ethics and IP A 5-question auditor's cheat sheet ⏱ CHAPTERS 0:00 Why AI needs auditors 1:36 Types of AI 2:50 How machines learn 5:08 Key terms every AI auditor needs 7:11 Business, strategy and risk 9:00 Privacy, regulation, ethics and IP 10:54 Cheat sheet and quiz 📌 QUIZ: A model scores great on training data but badly on new data. What is the problem? Answer in the comments! ▶ Watch next: AAIA Certification intro: [   • AAIA Explained: ISACA Advanced in AI Audit...  ] OECD AI Principles explained: [   • OECD AI Principles Explained: The Global R...  ] Part B, AI Governance and Program Management: coming soon 👍 Like, subscribe and turn on notifications so you don't miss the series. Disclaimer: This is independent educational content, not affiliated with or endorsed by ISACA. AAIA is a trademark of ISACA. #AAIA #AIAudit #AIGovernance