Hosted by Jason Edwards · 🇺🇸 US · EN · 113 episodes
Established thought leaders with verified media credentials.
Welcome to Certified: The ISACA AAIA Audio Course. I’m your guide for this series, and my job is to make AI auditing feel clear, structured, and doable for people who already have a full plate. Across these episodes, you’ll build a practical mental model for how AI systems work in an organization and how an auditor or assurance professional should evaluate them. Expect plain language, a steady pace, and a focus on what you can actually test, document, and defend. We’ll spend time on governance, data, models, controls, and monitoring, but we’ll always bring it back to audit outcomes: scope, criteria, evidence, findings, and reporting that leaders can act on.Here’s how to use Certified: The ISACA AAIA Audio Course. Start at the beginning, even if you’re experienced, because the early episodes set shared definitions and a consistent way to think about evidence. Listen once for understanding, then listen again when you’re ready to turn concepts into checklists you can use in the real wor
Jason Edwards hosts Certified: The ISACA AAIA Audio Course, a technology show with 113 episodes published.
Certified: The ISACA AAIA Audio Course is an audio-first program built for working professionals who need a practical path into AI auditing. If you’re an internal auditor, risk manager, security leader, compliance profes
Show notesThis final episode gives you exam-day tactics that keep you calm, fast, and defensible when AAIA scenarios feel ambiguous or overloaded with details. You’ll learn a reliable pacing approach that prevents early-question t
Show notesThis mega-review pulls all 23 AAIA tasks into one connected storyline so you can recall them as a single audit narrative instead of a scattered checklist. You’ll revisit how tasks start with evaluating AI opportunities a
Show notesThis review episode reinforces Domain 3 by walking through the audit toolset you need—planning, criteria, testing methods, sampling, evidence integrity, analytics, and reporting—in a single connected flow that matches ex
Show notesThis episode focuses on using AI to enhance audit reporting without hallucinated conclusions, because Task 23 expects you to recognize that confident language is not evidence and that AI can generate plausible but unsupp
Show notesThis episode teaches you how to use AI to enhance audit execution while preserving evidence quality, because Task 23 scenarios often test whether efficiency improvements still produce defensible workpapers and conclusion
Show notesThis episode focuses on Task 23 by showing how to use AI to enhance audit planning without outsourcing professional judgment, because AAIA expects you to treat AI as an assistant to thinking, not a replacement for accoun
Show notesThis episode teaches you how to prevent AI-in-audit blind spots, with a focus on three risks that show up in Task 22 scenarios: bias, leakage, and overreliance. You’ll learn how audit AI can reflect biased training data
Show notesThis episode focuses on Task 22 by evaluating impacts and risk when AI is integrated into the audit process itself, because AAIA expects you to govern AI use in assurance work with the same discipline you audit in others
Show notesThis episode explains how to follow up AI audits so remediation actually sticks and risk stays reduced, because Domain 3E recognizes that AI environments change quickly and “we fixed it” can evaporate after the next retr
Show notesThis episode focuses on writing AI audit findings that tie cause, risk, evidence, and remediation into one coherent story, because Domain 3E expects findings to be defensible and useful, not just critical. You’ll learn h
Show notesThis episode teaches you how to deliver AI audit reports that executives understand and teams can act on, because Domain 3E often tests whether you can translate technical and governance issues into clear, risk-based com
Show notesThis episode focuses on using analytics as an audit technique to detect drift, anomalies, and control breakdown trends, because Domain 3D expects you to go beyond spot checks and prove what is happening over time. You’ll
Show notesThis episode teaches you why auditing data quality must happen before you trust any AI output or model score, because Domain 3D scenarios often hinge on the fact that “good models” fail when inputs are wrong, incomplete,
Show notesThis episode focuses on validating evidence integrity in environments where models and data change over time, because AI auditing fails quickly when you cannot prove which version produced which outcome. You’ll learn how
Show notesThis episode explains how to collect AI audit evidence across logs, lineage, artifacts, and change records, because Domain 3C expects you to prove what happened, when it happened, and under which model and data condition
Show notesThis episode teaches you how to test AI controls using evidence, because Domain 3B scenarios often tempt you to accept “trust me” statements, impressive demos, or subjective opinions as proof. You’ll learn how to define
Show notesThis episode focuses on designing sampling approaches that reveal bias and failure modes in AI decisions, because AAIA questions often ask what sampling plan best supports a defensible conclusion. You’ll learn how to sam
Show notesThis episode teaches audit techniques that are tailored to AI systems, because Domain 3B often tests whether you can select methods that match AI realities like data dependence, model updates, and outcome supervision. Yo
Show notesThis episode explains how to choose audit criteria for AI by using policy, risk, and outcomes, because AAIA expects you to build criteria that can be proven with evidence, not just referenced as “best practice.” You’ll l
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Certified: The ISACA AAIA Audio Course is hosted by Jason Edwards. The show is categorised under technology (education) and has published 113 episodes.
Certified: The ISACA AAIA Audio Course has published 113 episodes.
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