All Episodes
Displaying 1 - 20 of 92 in total
Episode 1 — Start Strong with AAIR: What AI Risk Really Means at Work (Non-ECO Orientation)
Starting your journey toward the ISACA AI Fundamentals and Risk (AAIR) certification requires a fundamental shift in how you view corporate technology. This episode in...
Episode 2 — Understand the AAIR Exam: Format, Scoring, Rules, and Retake Policies (Non-ECO Orientation)
Navigating the logistics of the AAIR exam is as crucial as mastering the technical content itself to ensure a successful testing experience. In this episode, we break ...
Episode 3 — Build a Spoken Study Plan That Covers Every AAIR Practice Area (Non-ECO Orientation)
Effective preparation for the AAIR certification requires a structured study plan that mirrors the depth and breadth of the actual practice areas. This episode provide...
Episode 4 — Explain AI in Plain English: Models, Data, Training, and Inference Basics (Domain 1)
Foundational technical knowledge is the bedrock of Domain 1, as you cannot govern what you do not understand. This episode clarifies complex AI terminology, defining m...
Episode 5 — Recognize Where AI Goes Wrong: Errors, Bias, Drift, and Misuse Risks (Domain 3)
Domain 3 focuses on the specific failure modes of AI systems, requiring candidates to recognize and mitigate a wide array of technical and operational risks. This epis...
Episode 6 — Connect AI Outcomes to Business Harm: Money, Safety, Trust, and Law (Domain 1)
The ultimate goal of AI risk management is to protect the organization from tangible harm, a core focus of Domain 1. This episode examines how technical AI failures tr...
Episode 7 — Define AI Risk Ownership Clearly: Roles, Accountability, and Decision Rights (Domain 1)
Clear accountability is the cornerstone of any effective governance framework, particularly in the rapidly evolving field of AI. In this episode, we define the various...
Episode 8 — Establish AI Governance That Works: Committees, Charters, and Authority Lines (Domain 1)
Building a robust governance structure requires more than just policies; it requires the formal establishment of committees and charters that define how decisions are ...
Episode 9 — Align AI Use Cases to Strategy: Value, Constraints, and Risk Boundaries (Domain 1)
Every AI project should begin with a clear understanding of how it supports the organization’s strategic objectives while remaining within acceptable risk boundaries. ...
Episode 10 — Set AI Risk Appetite and Tolerance That Leaders Can Defend (Domain 1)
Defining risk appetite and tolerance is a critical exercise that allows leadership to communicate the level of risk the organization is willing to accept in pursuit of...
Episode 11 — Write Practical AI Policies: What Is Allowed, Restricted, and Prohibited (Domain 1)
Drafting effective AI policies is a core requirement for Domain 1, as it provides the enforceable framework for organizational behavior. This episode explores the thre...
Episode 12 — Build Standards for Responsible AI: Ethics, Fairness, Transparency, and Oversight (Domain 1)
Responsible AI standards go beyond basic compliance to address the ethical implications of algorithmic decision-making, a key focus for the AAIR certification. This ep...
Episode 13 — Create AI Documentation Expectations: What Evidence Must Always Exist (Domain 2)
Within Domain 2, maintaining comprehensive documentation is not just a best practice but a fundamental requirement for proving control during an audit or regulatory in...
Episode 14 — Inventory AI Systems Completely: Models, Data, Vendors, and Shadow AI (Domain 1)
You cannot manage the risk of what you do not know exists, making a complete AI inventory a prerequisite for effective governance in Domain 1. This episode explores th...
Episode 15 — Classify AI by Impact: High-Risk Uses, Critical Decisions, and Safety Roles (Domain 1)
Not all AI systems require the same level of scrutiny, and Domain 1 emphasizes the need to classify systems based on their potential impact. This episode focuses on th...
Episode 16 — Integrate AI Risk into ERM: Shared Language, Shared Processes, Shared Metrics (Domain 1)
AI risk should not be treated as a technical silo but must be integrated into the broader Enterprise Risk Management (ERM) framework, a core principle of Domain 1. Thi...
Episode 17 — Use COBIT-Style Controls for AI: Objectives, Practices, and Assurance Thinking (Domain 1)
Applying the COBIT framework to AI governance provides a structured, objective-based approach to control design that is central to ISACA’s methodology in Domain 1. Thi...
Episode 18 — Translate AI Risk for Executives: Clear Briefings Without Technical Fog (Domain 1)
Effective communication with executive leadership requires the ability to translate complex technical AI risks into clear business implications, a skill tested in Doma...
Episode 19 — Define AI Risk KRIs: Signals That Warn Before Harm Happens (Domain 2)
Key Risk Indicators (KRIs) serve as the early warning system for AI failures, and defining them correctly is a critical component of Domain 2. This episode explains th...
Episode 20 — Spaced Retrieval Review: Governance Decisions and Risk Language Rapid Recall (Domain 1)
Mastering Domain 1 requires the ability to recall and apply key governance concepts under the pressure of the exam environment. This episode uses the "spaced retrieval...