Episode 1 — Welcome & How to Use This PrepCast

Episode 2 — What “Responsible AI” Means—and Why It Matters

Episode 3 — Guiding Principles in Plain Language

Episode 4 — The AI Risk Landscape

Episode 5 — Stakeholders and Affected Communities

Episode 6 — The Responsible AI Lifecycle

Episode 7 — Policy Basics for Non Lawyers

Episode 8 — AI Regulation in Practice

Episode 9 — Risk Management Frameworks

Episode 10 — AI Management Systems

Episode 11 — Internal AI Policies & Guardrails

Episode 12 — Data Governance 101

Episode 13 — Documenting Data

Episode 14 — Fairness Definitions

Episode 15 — Measuring Bias

Episode 16 — Mitigating Bias

Episode 17 — Why Explainability?

Episode 18 — Interpretable Models vs. Post hoc Explanations

Episode 19 — Explainer Tooling

Episode 20 — Model, Data & System Cards