All Episodes
Displaying 1 - 20 of 58 in total
Episode 1 — Decode the AIGP Exam Blueprint, Question Styles, Policies, and Spoken Study Plan
This episode introduces the structure of the AIGP exam so you can study with intention instead of collecting disconnected facts. You will learn how exam domains signal...
Episode 2 — Grasp AI Definitions, Types, and Core Use Cases That Matter
This episode builds the vocabulary needed to understand later governance topics by separating broad AI concepts from narrower technical categories that often appear on...
Episode 3 — Understand AI Risks, Harms, and Why Governance Cannot Be Optional
This episode explains why AI governance exists by focusing on the gap between technical performance and real-world harm. You will learn the difference between risks to...
Episode 4 — Apply Responsible AI Principles Across Fairness, Safety, Privacy, Transparency, and Accountability
This episode turns high-level responsible AI principles into practical decision lenses you can use on the exam. You will examine fairness as more than equal treatment,...
Episode 5 — Define AI Governance Roles and Clarify Who Owns Which Decisions
This episode focuses on one of the most common governance failures in both exam scenarios and real organizations: unclear ownership. You will learn how AI governance d...
Episode 6 — Build Cross-Functional AI Governance Collaboration That Actually Works Across the Organization
This episode explains how effective AI governance depends on collaboration between groups that often speak different professional languages and pursue different goals....
Episode 7 — Create AI Terminology, Strategy, and Governance Training for Every Stakeholder
This episode shows why AI training must be tailored to role and responsibility rather than delivered as a generic awareness session to everyone. You will learn how fro...
Episode 8 — Tailor AI Governance to Company Size, Maturity, Industry, and Risk Tolerance
This episode teaches an important exam concept: governance should be proportionate to context. You will examine why a small company testing a narrow internal AI tool d...
Episode 9 — Differentiate Developers, Providers, Deployers, and Users in the AI Governance Model
This episode clarifies role categories that matter because legal duties and operational responsibilities often depend on where an organization sits in the AI value cha...
Episode 10 — Establish Life Cycle Policies That Drive Oversight and Accountability End to End
This episode introduces lifecycle governance as the discipline of controlling AI from idea through retirement instead of reacting only at deployment. You will review w...
Episode 11 — Update Privacy, Security, Data Governance, and IP Policies for AI
This episode explains why existing enterprise policies often need revision before an organization can govern AI responsibly. You will learn how privacy policies must a...
Episode 12 — Manage Third-Party AI Risk Through Assessments, Contracts, Procurement, and Acceptable Use
This episode focuses on third-party AI risk, which becomes critical when organizations buy, license, or embed tools they did not build themselves. You will examine how...
Episode 13 — Navigate Transparency, Choice, Lawful Basis, and Purpose Limits in AI
This episode addresses core privacy and governance concepts that often become more complicated when AI systems process large volumes of data or make consequential infe...
Episode 14 — Embed Data Minimization and Privacy by Design into AI Systems
This episode explains how privacy by design becomes operational when teams make deliberate choices about what data an AI system truly needs, when it needs it, and how ...
Episode 15 — Master Controller Obligations for AI Impact Assessments, Rights, Transfers, and Records
This episode examines the obligations that often fall on controllers or comparable responsible entities when AI systems process personal data. You will review why impa...
Episode 16 — Protect Sensitive and Special Category Data When AI Uses Biometrics
This episode focuses on one of the most sensitive areas in AI governance: the use of biometric data and other sensitive or special category data in systems that identi...
Episode 17 — Understand How Intellectual Property Law Shapes AI Training and Use
This episode explains how intellectual property concerns affect AI long before a tool reaches production. You will learn why training data rights matter, how copyright...
Episode 18 — Apply Nondiscrimination Law to AI in Employment, Credit, Housing, and Insurance
This episode connects AI governance to nondiscrimination obligations in some of the highest-stakes domains organizations face. You will examine how AI systems used in ...
Episode 19 — Interpret Consumer Protection and Product Liability Risks in AI Systems
This episode explains how AI can create consumer protection and product liability risk even when a system is marketed as helpful, innovative, or low friction. You will...
Episode 20 — Map AI Risk Classifications from Prohibited Uses to Minimal Risk
This episode introduces risk classification as a way to organize governance effort according to the seriousness of potential harm and the nature of the use case. You w...