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AI Governance & Responsible AI

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Module 01 - Foundations of AI Governance (Chapters 01–06)

  • 1. What Is AI Governance.m4a
  • 2. Why AI Governance Matters in 2025+.m4a
  • 3. Enterprise Risks from AI.m4a
  • 4. Key Roles & Stakeholders.m4a
  • 5. The Governance Operating Model.m4a
  • 6. Building an AI Inventory.m4a
  • Module 01 - Foundations of AI Governance.mp4
  • Module 01 - Foundations of AI Governance.chapters.txt

Module 02 - Understanding AI & Its Risks (Chapters 07–10)

  • 7. The Language of AI for Governance Leaders.m4a
  • 8. Types of AI Systems and Why They Matter.m4a
  • 9. The AI Lifecycle End to End.m4a
  • 10. Data as the Foundation of AI Risk.m4a
  • Module 02 - Understanding AI & Its Risks.mp4
  • Module 02 - Understanding AI & Its Risks.chapters.txt

Module 03 - Principles, Ethics & Stakeholders (Chapters 11–15)

  • 11. Responsible AI Principles and Where They Come From.m4a
  • 12. AI Ethics vs AI Governance vs AI Compliance.m4a
  • 13. Stakeholders Beyond the Enterprise.m4a
  • 14. The Business Value of Good Governance.m4a
  • 15. Common AI Governance Myths.m4a
  • Module 03 - Principles, Ethics & Stakeholders.mp4
  • Module 03 - Principles, Ethics & Stakeholders.chapters.txt

Module 04 - The Governance Practice & Value (Chapters 16–19)

  • 16. A Day in the Life of an AI Governance Leader.m4a
  • 17. Maturity Models for AI Governance.m4a
  • 18. The Cost of Getting It Wrong.m4a
  • 19. Building AI Literacy Across the Organization.m4a
  • Module 04 - The Governance Practice & Value.mp4
  • Module 04 - The Governance Practice & Value.chapters.txt

Module 05 - Trust, Appetite & Tools (Chapters 20–23)

  • 20. Trust, Transparency, and the Social License.m4a
  • 21. Introduction to AI Risk Appetite.m4a
  • 22. The Governance Leader's Toolkit Overview.m4a
  • 23. Reading and Interpreting AI Regulation.m4a
  • Module 05 - Trust, Appetite & Tools.mp4
  • Module 05 - Trust, Appetite & Tools.chapters.txt

Module 06 - Foundations Capstone (Chapters 24–25)

  • 24. Case Studies in AI Governance Foundations.m4a
  • 25. Phase 1 Capstone - The Literacy Brief.m4a
  • Module 06 - Foundations Capstone.mp4
  • Module 06 - Foundations Capstone.chapters.txt

Module 07 - The Regulatory Map & Core Frameworks (Chapters 26–29)

  • 26. The Global AI Regulatory Landscape.m4a
  • 27. The EU AI Act in Depth.m4a
  • 28. The NIST AI Risk Management Framework.m4a
  • 29. ISO_IEC 42001.m4a
  • Module 07 - The Regulatory Map & Core Frameworks.mp4
  • Module 07 - The Regulatory Map & Core Frameworks.chapters.txt

Module 08 - Sector & Data Regulation (Chapters 30–34)

  • 30. Sector-Specific AI Regulation_ Finance.m4a
  • 31. Sector-Specific AI Regulation_ Healthcare.m4a
  • 32. Sector-Specific AI Regulation_ Employment & HR.m4a
  • 33. Data Protection and AI_ The GDPR Intersection.m4a
  • 34. Automated Decision-Making Rights.m4a
  • Module 08 - Sector & Data Regulation.mp4
  • Module 08 - Sector & Data Regulation.chapters.txt

Module 09 - Rights, Disclosure & Liability (Chapters 35–36)

  • 35. Transparency and Disclosure Obligations.m4a
  • 36. AI Liability and Accountability Regimes.m4a
  • Module 09 - Rights, Disclosure & Liability.mp4
  • Module 09 - Rights, Disclosure & Liability.chapters.txt

Module 10 - The Jurisdictional Tour (Chapters 37–39)

  • 37. The UK Approach to AI Regulation.m4a
  • 38. The US Federal and State Patchwork.m4a
  • 39. Asia-Pacific AI Frameworks.m4a
  • Module 10 - The Jurisdictional Tour.mp4
  • Module 10 - The Jurisdictional Tour.chapters.txt

Module 11 - Crosswalk & Synthesis (Chapters 40–40)

  • 40. Building a Regulatory Crosswalk.m4a
  • Module 11 - Crosswalk & Synthesis.mp4
  • Module 11 - Crosswalk & Synthesis.chapters.txt

Module 12 - Compliance Mapping & Adjacent Domains (Chapters 41–50)

  • 41. Intellectual Property and AI.m4a
  • 42. AI and Competition Law.m4a
  • 43. Consumer Protection and AI.m4a
  • 44. Sector Deep Dive_ Insurance.m4a
  • 45. Sector Deep Dive_ Public Sector & Government.m4a
  • 46. Sector Deep Dive_ Critical Infrastructure.m4a
  • 47. Biometrics and Facial Recognition Law.m4a
  • 48. Children and Vulnerable Groups.m4a
  • 49. AI in Marketing and Advertising.m4a
  • 50. Content Moderation and Platform Rules.m4a
  • Module 12 - Compliance Mapping & Adjacent Domains.mp4
  • Module 12 - Compliance Mapping & Adjacent Domains.chapters.txt

Module 13 - Standards, Assurance & Enforcement (Chapters 51–58)

  • 51. Open Source and AI Governance.m4a
  • 52. Foundation Models and General-Purpose AI Rules.m4a
  • 53. Cross-Border Data Flows and AI.m4a
  • 54. Standards Bodies and the Standardization Landscape.m4a
  • 55. Certification, Audit, and Conformity Ecosystems.m4a
  • 56. Voluntary Codes and Industry Commitments.m4a
  • 57. Regulatory Sandboxes and Innovation Pathways.m4a
  • 58. Enforcement, Penalties, and Regulatory Actions.m4a
  • Module 13 - Standards, Assurance & Enforcement.mp4
  • Module 13 - Standards, Assurance & Enforcement.chapters.txt

Module 14 - Engagement, Deals & Documentation (Chapters 59–63)

  • 59. Horizon Scanning for New Regulation.m4a
  • 60. Negotiating AI Clauses in Contracts.m4a
  • 61. Regulatory Relationships and Engagement.m4a
  • 62. AI Governance in Mergers and Acquisitions.m4a
  • 63. Records, Documentation, and Evidentiary Duties.m4a
  • Module 14 - Engagement, Deals & Documentation.mp4
  • Module 14 - Engagement, Deals & Documentation.chapters.txt

Module 15 - Advanced Regulatory Strategy (Chapters 64–79)

  • 64. The Politics and Economics of AI Regulation.m4a
  • 65. Comparative Regulatory Philosophies.m4a
  • 66. AI and Sector Convergence Risks.m4a
  • 67. Emerging Liability for Autonomous Systems.m4a
  • 68. Whistleblowing and Internal Reporting Duties.m4a
  • 69. Regulatory Reporting and Notifications.m4a
  • 70. AI Governance and Financial Disclosure.m4a
  • 71. National Security and Export Controls.m4a
  • 72. Accessibility and Inclusive-Design Duties.m4a
  • 73. Environmental and Sustainability Obligations.m4a
  • 74. Litigation and Case Law Trends.m4a
  • 75. Regulatory Interpretation and Legal Opinions.m4a
  • 76. Multi-Jurisdiction Program Design.m4a
  • 77. AI Governance Frameworks Compared.m4a
  • 78. The Rulebook in Practice_ An Integrated Case.m4a
  • 79. Future Regulatory Directions.m4a
  • Module 15 - Advanced Regulatory Strategy.mp4
  • Module 15 - Advanced Regulatory Strategy.chapters.txt

Module 16 - Phase 2 Capstone (Chapters 80–80)

  • 80. Phase 2 Capstone - The Regulatory Strategy.m4a
  • Module 16 - Phase 2 Capstone.mp4
  • Module 16 - Phase 2 Capstone.chapters.txt

Module 17 - Risk Assessment & Tiering (Chapters 81–84)

  • 81. AI Risk Assessment Fundamentals.m4a
  • 82. Building a Risk Taxonomy.m4a
  • 83. Risk Scoring and Tiering Methods.m4a
  • 84. Impact Assessments for AI.m4a
  • Module 17 - Risk Assessment & Tiering.mp4
  • Module 17 - Risk Assessment & Tiering.chapters.txt

Module 18 - Fairness & Bias Controls (Chapters 85–88)

  • 85. Bias and Fairness_ Concepts.m4a
  • 86. Fairness Metrics in Practice.m4a
  • 87. Bias Testing and Auditing.m4a
  • 88. Bias Mitigation Techniques.m4a
  • Module 18 - Fairness & Bias Controls.mp4
  • Module 18 - Fairness & Bias Controls.chapters.txt

Module 19 - Explainability & Transparency (Chapters 89–91)

  • 89. Explainability_ Concepts and Stakes.m4a
  • 90. Explainability Techniques for Leaders.m4a
  • 91. Transparency by Design.m4a
  • Module 19 - Explainability & Transparency.mp4
  • Module 19 - Explainability & Transparency.chapters.txt

Module 20 - Privacy, Data & Security Controls (Chapters 92–96)

  • 92. Privacy-Preserving AI Techniques.m4a
  • 93. Data Governance Controls for AI.m4a
  • 94. Security of AI Systems_ Threat Landscape.m4a
  • 95. Adversarial Robustness Controls.m4a
  • 96. Securing Generative and LLM Systems.m4a
  • Module 20 - Privacy, Data & Security Controls.mp4
  • Module 20 - Privacy, Data & Security Controls.chapters.txt

Module 21 - Oversight, Validation & Monitoring (Chapters 97–103)

  • 97. Human Oversight Design.m4a
  • 98. Human-in-the-Loop Patterns.m4a
  • 99. Model Validation and Testing.m4a
  • 100. Documentation and Model Cards.m4a
  • 101. Monitoring AI in Production.m4a
  • 102. Drift Detection and Response.m4a
  • 103. Incident Detection and Classification.m4a
  • Module 21 - Oversight, Validation & Monitoring.mp4
  • Module 21 - Oversight, Validation & Monitoring.chapters.txt

Module 22 - Third-Party, Selection & Assurance (Chapters 104–110)

  • 104. Third-Party and Vendor Risk Controls.m4a
  • 105. Supply-Chain and Foundation-Model Risk.m4a
  • 106. Control Selection and Design.m4a
  • 107. Control Testing and Assurance.m4a
  • 108. Residual Risk and Acceptance.m4a
  • 109. Red-Teaming AI Systems.m4a
  • 110. Safety Engineering for AI.m4a
  • Module 22 - Third-Party, Selection & Assurance.mp4
  • Module 22 - Third-Party, Selection & Assurance.chapters.txt

Module 23 - Controls - Advanced Track (Chapters 111–140)

  • 111. AI Risk Assessment Fundamentals - Advanced.m4a
  • 112. Building a Risk Taxonomy - Advanced.m4a
  • 113. Risk Scoring and Tiering Methods - Advanced.m4a
  • 114. Impact Assessments for AI - Advanced.m4a
  • 115. Bias and Fairness_ Concepts - Advanced.m4a
  • 116. Fairness Metrics in Practice - Advanced.m4a
  • 117. Bias Testing and Auditing - Advanced.m4a
  • 118. Bias Mitigation Techniques - Advanced.m4a
  • 119. Explainability_ Concepts and Stakes - Advanced.m4a
  • 120. Explainability Techniques for Leaders - Advanced.m4a
  • 121. Transparency by Design - Advanced.m4a
  • 122. Privacy-Preserving AI Techniques - Advanced.m4a
  • 123. Data Governance Controls for AI - Advanced.m4a
  • 124. Security of AI Systems_ Threat Landscape - Advanced.m4a
  • 125. Adversarial Robustness Controls - Advanced.m4a
  • 126. Securing Generative and LLM Systems - Advanced.m4a
  • 127. Human Oversight Design - Advanced.m4a
  • 128. Human-in-the-Loop Patterns - Advanced.m4a
  • 129. Model Validation and Testing - Advanced.m4a
  • 130. Documentation and Model Cards - Advanced.m4a
  • 131. Monitoring AI in Production - Advanced.m4a
  • 132. Drift Detection and Response - Advanced.m4a
  • 133. Incident Detection and Classification - Advanced.m4a
  • 134. Third-Party and Vendor Risk Controls - Advanced.m4a
  • 135. Supply-Chain and Foundation-Model Risk - Advanced.m4a
  • 136. Control Selection and Design - Advanced.m4a
  • 137. Control Testing and Assurance - Advanced.m4a
  • 138. Residual Risk and Acceptance - Advanced.m4a
  • 139. Red-Teaming AI Systems - Advanced.m4a
  • 140. Safety Engineering for AI - Advanced.m4a
  • Module 23 - Controls - Advanced Track.mp4
  • Module 23 - Controls - Advanced Track.chapters.txt

Module 24 - Controls - Applied Track (Chapters 141–170)

  • 141. AI Risk Assessment Fundamentals - Applied.m4a
  • 142. Building a Risk Taxonomy - Applied.m4a
  • 143. Risk Scoring and Tiering Methods - Applied.m4a
  • 144. Impact Assessments for AI - Applied.m4a
  • 145. Bias and Fairness_ Concepts - Applied.m4a
  • 146. Fairness Metrics in Practice - Applied.m4a
  • 147. Bias Testing and Auditing - Applied.m4a
  • 148. Bias Mitigation Techniques - Applied.m4a
  • 149. Explainability_ Concepts and Stakes - Applied.m4a
  • 150. Explainability Techniques for Leaders - Applied.m4a
  • 151. Transparency by Design - Applied.m4a
  • 152. Privacy-Preserving AI Techniques - Applied.m4a
  • 153. Data Governance Controls for AI - Applied.m4a
  • 154. Security of AI Systems_ Threat Landscape - Applied.m4a
  • 155. Adversarial Robustness Controls - Applied.m4a
  • 156. Securing Generative and LLM Systems - Applied.m4a
  • 157. Human Oversight Design - Applied.m4a
  • 158. Human-in-the-Loop Patterns - Applied.m4a
  • 159. Model Validation and Testing - Applied.m4a
  • 160. Documentation and Model Cards - Applied.m4a
  • 161. Monitoring AI in Production - Applied.m4a
  • 162. Drift Detection and Response - Applied.m4a
  • 163. Incident Detection and Classification - Applied.m4a
  • 164. Third-Party and Vendor Risk Controls - Applied.m4a
  • 165. Supply-Chain and Foundation-Model Risk - Applied.m4a
  • 166. Control Selection and Design - Applied.m4a
  • 167. Control Testing and Assurance - Applied.m4a
  • 168. Residual Risk and Acceptance - Applied.m4a
  • 169. Red-Teaming AI Systems - Applied.m4a
  • 170. Safety Engineering for AI - Applied.m4a
  • Module 24 - Controls - Applied Track.mp4
  • Module 24 - Controls - Applied Track.chapters.txt

Module 25 - Controls - Deep Dive Track (Chapters 171–200)

  • 141. AI Risk Assessment Fundamentals - Applied.m4a
  • 142. Building a Risk Taxonomy - Applied.m4a
  • 143. Risk Scoring and Tiering Methods - Applied.m4a
  • 144. Impact Assessments for AI - Applied.m4a
  • 145. Bias and Fairness_ Concepts - Applied.m4a
  • 146. Fairness Metrics in Practice - Applied.m4a
  • 147. Bias Testing and Auditing - Applied.m4a
  • 148. Bias Mitigation Techniques - Applied.m4a
  • 149. Explainability_ Concepts and Stakes - Applied.m4a
  • 150. Explainability Techniques for Leaders - Applied.m4a
  • 151. Transparency by Design - Applied.m4a
  • 152. Privacy-Preserving AI Techniques - Applied.m4a
  • 153. Data Governance Controls for AI - Applied.m4a
  • 154. Security of AI Systems_ Threat Landscape - Applied.m4a
  • 155. Adversarial Robustness Controls - Applied.m4a
  • 156. Securing Generative and LLM Systems - Applied.m4a
  • 157. Human Oversight Design - Applied.m4a
  • 158. Human-in-the-Loop Patterns - Applied.m4a
  • 159. Model Validation and Testing - Applied.m4a
  • 160. Documentation and Model Cards - Applied.m4a
  • 161. Monitoring AI in Production - Applied.m4a
  • 162. Drift Detection and Response - Applied.m4a
  • 163. Incident Detection and Classification - Applied.m4a
  • 164. Third-Party and Vendor Risk Controls - Applied.m4a
  • 165. Supply-Chain and Foundation-Model Risk - Applied.m4a
  • 166. Control Selection and Design - Applied.m4a
  • 167. Control Testing and Assurance - Applied.m4a
  • 168. Residual Risk and Acceptance - Applied.m4a
  • 169. Red-Teaming AI Systems - Applied.m4a
  • 170. Safety Engineering for AI - Applied.m4a
  • Module 24 - Controls - Applied Track.mp4
  • Module 24 - Controls - Applied Track.chapters.txt

Module 26 - The Operating Lifecycle & Intake (Chapters 201–206)

  • 201. The AI Use-Case Lifecycle in Operation.m4a
  • 202. Designing the Intake Process.m4a
  • 203. Running an AI Governance Committee.m4a
  • 204. Decision Rights and Escalation in Practice.m4a
  • 205. Governance Tooling and the GRC Stack.m4a
  • 206. Metrics, KPIs, and Dashboards.m4a
  • Module 26 - The Operating Lifecycle & Intake.mp4
  • Module 26 - The Operating Lifecycle & Intake.chapters.txt

Module 27 - Reporting, Audit & Policy (Chapters 207–210)

  • 207. Board and Executive Reporting.m4a
  • 208. Audit Readiness and Evidence Management.m4a
  • 209. Policy and Standard Authoring.m4a
  • 210. Training and Culture Change.m4a
  • Module 27 - Reporting, Audit & Policy.mp4
  • Module 27 - Reporting, Audit & Policy.chapters.txt

Module 28 - Incident, Scaling & SDLC (Chapters 211–216)

  • 211. AI Incident Management End to End.m4a
  • 212. Post-Incident Review and Learning.m4a
  • 213. Scaling Governance Across the Enterprise.m4a
  • 214. Embedding Governance in the SDLC.m4a
  • 215. Governance for Procurement and Vendors.m4a
  • 216. Change Management for AI Systems.m4a
  • Module 28 - Incident, Scaling & SDLC.mp4
  • Module 28 - Incident, Scaling & SDLC.chapters.txt

Module 29 - Rhythm, Coordination & Automation (Chapters 217–224)

  • 217. The Governance Operating Rhythm.m4a
  • 218. Cross-Functional Coordination.m4a
  • 219. Self-Service and Delegated Governance.m4a
  • 220. Governance Workflow Automation.m4a
  • 221. Managing the Risk Register.m4a
  • 222. Continuous Compliance Monitoring.m4a
  • 223. Governance for Rapid Experimentation.m4a
  • 224. Stakeholder Communication and Engagement.m4a
  • Module 29 - Rhythm, Coordination & Automation.mp4
  • Module 29 - Rhythm, Coordination & Automation.chapters.txt

Module 30 - Resourcing, Docs & Oversight (Chapters 225–230)

  • 225. Resourcing and Capacity Planning.m4a
  • 226. Governance Documentation Systems.m4a
  • 227. Operationalizing Human Oversight.m4a
  • 228. Managing Model Inventories at Scale.m4a
  • 229. Service-Level and Performance Management.m4a
  • 230. Operations Capstone - Running the Function.m4a
  • Module 30 - Resourcing, Docs & Oversight.mp4
  • Module 30 - Resourcing, Docs & Oversight.chapters.txt

Module 31 - Operations - Advanced Track (Chapters 231–260)

  • 231. The AI Use-Case Lifecycle in Operation - Advanced.m4a
  • 232. Designing the Intake Process - Advanced.m4a
  • 233. Running an AI Governance Committee - Advanced.m4a
  • 234. Decision Rights and Escalation in Practice - Advanced.m4a
  • 235. Governance Tooling and the GRC Stack - Advanced.m4a
  • 236. Metrics, KPIs, and Dashboards - Advanced.m4a
  • 237. Board and Executive Reporting - Advanced.m4a
  • 238. Audit Readiness and Evidence Management - Advanced.m4a
  • 239. Policy and Standard Authoring - Advanced.m4a
  • 240. Training and Culture Change - Advanced.m4a
  • 241. AI Incident Management End to End - Advanced.m4a
  • 242. Post-Incident Review and Learning - Advanced.m4a
  • 243. Scaling Governance Across the Enterprise - Advanced.m4a
  • 244. Embedding Governance in the SDLC - Advanced.m4a
  • 245. Governance for Procurement and Vendors - Advanced.m4a
  • 246. Change Management for AI Systems - Advanced.m4a
  • 247. The Governance Operating Rhythm - Advanced.m4a
  • 248. Cross-Functional Coordination - Advanced.m4a
  • 249. Self-Service and Delegated Governance - Advanced.m4a
  • 250. Governance Workflow Automation - Advanced.m4a
  • 251. Managing the Risk Register - Advanced.m4a
  • 252. Continuous Compliance Monitoring - Advanced.m4a
  • 253. Governance for Rapid Experimentation - Advanced.m4a
  • 254. Stakeholder Communication and Engagement - Advanced.m4a
  • 255. Resourcing and Capacity Planning - Advanced.m4a
  • 256. Governance Documentation Systems - Advanced.m4a
  • 257. Operationalizing Human Oversight - Advanced.m4a
  • 258. Managing Model Inventories at Scale - Advanced.m4a
  • 259. Service-Level and Performance Management - Advanced.m4a
  • 260. Operations Capstone - Running the Function - Advanced.m4a
  • Module 31 - Operations - Advanced Track.mp4
  • Module 31 - Operations - Advanced Track.chapters.txt

Module 32 - Operations - Applied Track (Chapters 261–290)

  • 261. The AI Use-Case Lifecycle in Operation - Applied.m4a
  • 262. Designing the Intake Process - Applied.m4a
  • 263. Running an AI Governance Committee - Applied.m4a
  • 264. Decision Rights and Escalation in Practice - Applied.m4a
  • 265. Governance Tooling and the GRC Stack - Applied.m4a
  • 266. Metrics, KPIs, and Dashboards - Applied.m4a
  • 267. Board and Executive Reporting - Applied.m4a
  • 268. Audit Readiness and Evidence Management - Applied.m4a
  • 269. Policy and Standard Authoring - Applied.m4a
  • 270. Training and Culture Change - Applied.m4a
  • 271. AI Incident Management End to End - Applied.m4a
  • 272. Post-Incident Review and Learning - Applied.m4a
  • 273. Scaling Governance Across the Enterprise - Applied.m4a
  • 274. Embedding Governance in the SDLC - Applied.m4a
  • 275. Governance for Procurement and Vendors - Applied.m4a
  • 276. Change Management for AI Systems - Applied.m4a
  • 277. The Governance Operating Rhythm - Applied.m4a
  • 278. Cross-Functional Coordination - Applied.m4a
  • 279. Self-Service and Delegated Governance - Applied.m4a
  • 280. Governance Workflow Automation - Applied.m4a
  • 281. Managing the Risk Register - Applied.m4a
  • 282. Continuous Compliance Monitoring - Applied.m4a
  • 283. Governance for Rapid Experimentation - Applied.m4a
  • 284. Stakeholder Communication and Engagement - Applied.m4a
  • 285. Resourcing and Capacity Planning - Applied.m4a
  • 286. Governance Documentation Systems - Applied.m4a
  • 287. Operationalizing Human Oversight - Applied.m4a
  • 288. Managing Model Inventories at Scale - Applied.m4a
  • 289. Service-Level and Performance Management - Applied.m4a
  • 290. Operations Capstone - Running the Function - Applied.m4a
  • Module 32 - Operations - Applied Track.mp4
  • Module 32 - Operations - Applied Track.chapters.txt

Module 33 - Operations - Deep Dive Track (Chapters 291–320)

  • 291. The AI Use-Case Lifecycle in Operation - Deep Dive.m4a
  • 292. Designing the Intake Process - Deep Dive.m4a
  • 293. Running an AI Governance Committee - Deep Dive.m4a
  • 294. Decision Rights and Escalation in Practice - Deep Dive.m4a
  • 295. Governance Tooling and the GRC Stack - Deep Dive.m4a
  • 296. Metrics, KPIs, and Dashboards - Deep Dive.m4a
  • 297. Board and Executive Reporting - Deep Dive.m4a
  • 298. Audit Readiness and Evidence Management - Deep Dive.m4a
  • 299. Policy and Standard Authoring - Deep Dive.m4a
  • 300. Training and Culture Change - Deep Dive.m4a
  • 301. AI Incident Management End to End - Deep Dive.m4a
  • 302. Post-Incident Review and Learning - Deep Dive.m4a
  • 303. Scaling Governance Across the Enterprise - Deep Dive.m4a
  • 304. Embedding Governance in the SDLC - Deep Dive.m4a
  • 305. Governance for Procurement and Vendors - Deep Dive.m4a
  • 306. Change Management for AI Systems - Deep Dive.m4a
  • 308. Cross-Functional Coordination - Deep Dive.m4a
  • 309. Self-Service and Delegated Governance - Deep Dive.m4a
  • 310. Governance Workflow Automation - Deep Dive.m4a
  • 311. Managing the Risk Register - Deep Dive.m4a
  • 312. Continuous Compliance Monitoring - Deep Dive.m4a
  • 313. Governance for Rapid Experimentation - Deep Dive.m4a
  • 314. Stakeholder Communication and Engagement - Deep Dive.m4a
  • 315. Resourcing and Capacity Planning - Deep Dive.m4a
  • 316. Governance Documentation Systems - Deep Dive.m4a
  • 317. Operationalizing Human Oversight - Deep Dive.m4a
  • 318. Managing Model Inventories at Scale - Deep Dive.m4a
  • 319. Service-Level and Performance Management - Deep Dive.m4a
  • 320. Operations Capstone - Running the Function - Deep Dive.m4a
  • Module 33 - Operations - Deep Dive Track.chapters.txt
  • Module 33 - Operations - Deep Dive Track.mp4

Module 34 - Operations - In Practice Track (Chapters 321–330)

  • 321. The AI Use-Case Lifecycle in Operation - In Practice.m4a
  • 322. Designing the Intake Process - In Practice.m4a
  • 323. Running an AI Governance Committee - In Practice.m4a
  • 324. Decision Rights and Escalation in Practice - In Practice.m4a
  • 325. Governance Tooling and the GRC Stack - In Practice.m4a
  • 326. Metrics, KPIs, and Dashboards - In Practice.m4a
  • 327. Board and Executive Reporting - In Practice.m4a
  • 328. Audit Readiness and Evidence Management - In Practice.m4a
  • 329. Policy and Standard Authoring - In Practice.m4a
  • 330. Training and Culture Change - In Practice.m4a
  • Module 34 - Operations - In Practice Track.mp4
  • Module 34 - Operations - In Practice Track.chapters.txt

Module 35 - Mandate, Business Case & Influence (Chapters 331–336)

  • 331. Building the Governance Team.m4a
  • 332. Securing Mandate and Sponsorship.m4a
  • 333. Building the Business Case.m4a
  • 334. Influencing Without Authority.m4a
  • 335. Board and C-Suite Communication.m4a
  • 336. Avoiding the Department of No.m4a
  • Module 35 - Mandate, Business Case & Influence.mp4
  • Module 35 - Mandate, Business Case & Influence.chapters.txt

Module 36 - Strategy, Maturity & Crisis (Chapters 337–342)

  • 337. Governance Strategy and Roadmaps.m4a
  • 338. Maturity Assessment and Improvement.m4a
  • 339. Vendor and Partner Management.m4a
  • 340. Crisis Leadership When AI Fails.m4a
  • 341. Navigating Organizational Resistance.m4a
  • 342. The Governance Leader's Career Path.m4a
  • Module 36 - Strategy, Maturity & Crisis.mp4
  • Module 36 - Strategy, Maturity & Crisis.chapters.txt

Module 37 - Stakeholders, Culture & Change (Chapters 343–350)

  • 343. Stakeholder Mapping and Power.m4a
  • 344. Communicating Risk to Non-Experts.m4a
  • 345. Building a Governance Culture.m4a
  • 346. Leading Change at Scale.m4a
  • 347. Negotiation and Conflict Resolution.m4a
  • 348. Ethics Leadership and Moral Courage.m4a
  • 349. Strategic Alignment with the Business.m4a
  • 350. Measuring Leadership Effectiveness.m4a
  • Module 37 - Stakeholders, Culture & Change.mp4
  • Module 37 - Stakeholders, Culture & Change.chapters.txt

Module 38 - Talent, Budget & Effectiveness (Chapters 351–360)

  • 351. Talent, Skills, and Development.m4a
  • 352. Governance and Innovation Partnership.m4a
  • 353. Budgeting and Resource Advocacy.m4a
  • 354. Executive Decision Support.m4a
  • 355. Reputation and Trust Leadership.m4a
  • 356. Leading Distributed and Global Teams.m4a
  • 357. Personal Effectiveness and Resilience.m4a
  • 358. Mentoring and Building the Profession.m4a
  • 359. Governance in the Executive Team.m4a
  • 360. Leadership Capstone - The Governance Leader.m4a
  • Module 38 - Talent, Budget & Effectiveness.mp4
  • Module 38 - Talent, Budget & Effectiveness.chapters.txt

Module 39 - Leadership - Advanced Track (Chapters 361–390)

  • 361. Building the Governance Team - Advanced.m4a
  • 362. Securing Mandate and Sponsorship - Advanced.m4a
  • 363. Building the Business Case - Advanced.m4a
  • 364. Influencing Without Authority - Advanced.m4a
  • 365. Board and C-Suite Communication - Advanced.m4a
  • 366. Avoiding the Department of No - Advanced.m4a
  • 367. Governance Strategy and Roadmaps - Advanced.m4a
  • 368. Maturity Assessment and Improvement - Advanced.m4a
  • 369. Vendor and Partner Management - Advanced.m4a
  • 370. Crisis Leadership When AI Fails - Advanced.m4a
  • 371. Navigating Organizational Resistance - Advanced.m4a
  • 372. The Governance Leader's Career Path - Advanced.m4a
  • 373. Stakeholder Mapping and Power - Advanced.m4a
  • 374. Communicating Risk to Non-Experts - Advanced.m4a
  • 375. Building a Governance Culture - Advanced.m4a
  • 376. Leading Change at Scale - Advanced.m4a
  • 377. Negotiation and Conflict Resolution - Advanced.m4a
  • 378. Ethics Leadership and Moral Courage - Advanced.m4a
  • 379. Strategic Alignment with the Business - Advanced.m4a
  • 380. Measuring Leadership Effectiveness - Advanced.m4a
  • 381. Talent, Skills, and Development - Advanced.m4a
  • 382. Governance and Innovation Partnership - Advanced.m4a
  • 383. Budgeting and Resource Advocacy - Advanced.m4a
  • 384. Executive Decision Support - Advanced.m4a
  • 385. Reputation and Trust Leadership - Advanced.m4a
  • 386. Leading Distributed and Global Teams - Advanced.m4a
  • 387. Personal Effectiveness and Resilience - Advanced.m4a
  • 388. Mentoring and Building the Profession - Advanced.m4a
  • 389. Governance in the Executive Team - Advanced.m4a
  • 390. Leadership Capstone - The Governance Leader - Advanced.m4a
  • Module 39 - Leadership - Advanced Track.mp4
  • Module 39 - Leadership - Advanced Track.chapters.txt

Module 40 - Leadership - Applied Track (Chapters 391–420)

  • 391. Building the Governance Team - Applied.m4a
  • 392. Securing Mandate and Sponsorship - Applied.m4a
  • 393. Building the Business Case - Applied.m4a
  • 394. Influencing Without Authority - Applied.m4a
  • 395. Board and C-Suite Communication - Applied.m4a
  • 396. Avoiding the Department of No - Applied.m4a
  • 397. Governance Strategy and Roadmaps - Applied.m4a
  • 398. Maturity Assessment and Improvement - Applied.m4a
  • 399. Vendor and Partner Management - Applied.m4a
  • 400. Crisis Leadership When AI Fails - Applied.m4a
  • 401. Navigating Organizational Resistance - Applied.m4a
  • 402. The Governance Leader's Career Path - Applied.m4a
  • 403. Stakeholder Mapping and Power - Applied.m4a
  • 404. Communicating Risk to Non-Experts - Applied.m4a
  • 405. Building a Governance Culture - Applied.m4a
  • 406. Leading Change at Scale - Applied.m4a
  • 407. Negotiation and Conflict Resolution - Applied.m4a
  • 408. Ethics Leadership and Moral Courage - Applied.m4a
  • 409. Strategic Alignment with the Business - Applied.m4a
  • 410. Measuring Leadership Effectiveness - Applied.m4a
  • 411. Talent, Skills, and Development - Applied.m4a
  • 412. Governance and Innovation Partnership - Applied.m4a
  • 413. Budgeting and Resource Advocacy - Applied.m4a
  • 414. Executive Decision Support - Applied.m4a
  • 415. Reputation and Trust Leadership - Applied.m4a
  • 416. Leading Distributed and Global Teams - Applied.m4a
  • 417. Personal Effectiveness and Resilience - Applied.m4a
  • 418. Mentoring and Building the Profession - Applied.m4a
  • 419. Governance in the Executive Team - Applied.m4a
  • 420. Leadership Capstone - The Governance Leader - Applied.m4a
  • Module 40 - Leadership - Applied Track.mp4
  • Module 40 - Leadership - Applied Track.chapters.txt

Module 41 - Leadership - Deep Dive Track (Chapters 421–440)

  • 421. Building the Governance Team - Deep Dive.m4a
  • 422. Securing Mandate and Sponsorship - Deep Dive.m4a
  • 423. Building the Business Case - Deep Dive.m4a
  • 424. Influencing Without Authority - Deep Dive.m4a
  • 425. Board and C-Suite Communication - Deep Dive.m4a
  • 426. Avoiding the Department of No - Deep Dive.m4a
  • 427. Governance Strategy and Roadmaps - Deep Dive.m4a
  • 428. Maturity Assessment and Improvement - Deep Dive.m4a
  • 429. Vendor and Partner Management - Deep Dive.m4a
  • 430. Crisis Leadership When AI Fails - Deep Dive.m4a
  • 431. Navigating Organizational Resistance - Deep Dive.m4a
  • 432. The Governance Leader's Career Path - Deep Dive.m4a
  • 433. Stakeholder Mapping and Power - Deep Dive.m4a
  • 434. Communicating Risk to Non-Experts - Deep Dive.m4a
  • 435. Building a Governance Culture - Deep Dive.m4a
  • 436. Leading Change at Scale - Deep Dive.m4a
  • 437. Negotiation and Conflict Resolution - Deep Dive.m4a
  • 438. Ethics Leadership and Moral Courage - Deep Dive.m4a
  • 439. Strategic Alignment with the Business - Deep Dive.m4a
  • 440. Measuring Leadership Effectiveness - Deep Dive.m4a
  • Module 41 - Leadership - Deep Dive Track.mp4
  • Module 41 - Leadership - Deep Dive Track.chapters.txt

Module 42 - Frontier & Generative Systems (Chapters 441–446)

  • 441. Governing Generative AI.m4a
  • 442. Governing Foundation Models.m4a
  • 443. Agentic AI and Autonomous Systems.m4a
  • 444. Frontier Models and Systemic Risk.m4a
  • 445. Multi-Agent and Compound Systems.m4a
  • 446. AI Governance in High-Stakes Domains.m4a
  • Module 42 - Frontier & Generative Systems.mp4
  • Module 42 - Frontier & Generative Systems.chapters.txt

Module 43 - Regulation, Geopolitics & Ethics (Chapters 447–450)

  • 447. Emerging Regulation and Horizon Scanning.m4a
  • 448. Geopolitics of AI.m4a
  • 449. AI Ethics Beyond Compliance.m4a
  • 450. Measuring Governance Effectiveness.m4a
  • Module 43 - Regulation, Geopolitics & Ethics.mp4
  • Module 43 - Regulation, Geopolitics & Ethics.chapters.txt

Module 44 - Case Studies & Future of Work (Chapters 451–455)

  • 451. Case Studies_ Governance Successes.m4a
  • 452. Case Studies_ Governance Failures.m4a
  • 453. AI and the Future of Work.m4a
  • 454. Sustainable and Responsible AI at Scale.m4a
  • 455. AI Assurance as a Discipline.m4a
  • Module 44 - Case Studies & Future of Work.mp4
  • Module 44 - Case Studies & Future of Work.chapters.txt

Module 45 - Risk Economics, Assurance & Insurance (Chapters 456–460)

  • 456. Quantifying and Pricing AI Risk.m4a
  • 457. AI Insurance and Risk Transfer.m4a
  • 458. Governing AI Research and Development.m4a
  • 459. International Coordination and Standards.m4a
  • 460. The Economics of AI Governance.m4a
  • Module 45 - Risk Economics, Assurance & Insurance.mp4
  • Module 45 - Risk Economics, Assurance & Insurance.chapters.txt

Module 46 - Board, Trust & Program Building (Chapters 461–470)

  • 461. Advanced Board Governance of AI.m4a
  • 462. AI Governance and Digital Trust.m4a
  • 463. Building an Industry-Leading Program.m4a
  • 464. Governance for AI Platforms and Marketplaces.m4a
  • 465. The Long-Term Trajectory of AI Governance.m4a
  • 466. Synthesis_ The Complete Practitioner.m4a
  • 467. Designing a Greenfield Governance Program.m4a
  • 468. Transforming a Failing Program.m4a
  • 469. The Governance Leader as Strategist.m4a
  • 470. Mastery Capstone - The Integrated Program.m4a
  • Module 46 - Board, Trust & Program Building.mp4
  • Module 46 - Board, Trust & Program Building.chapters.txt

Module 47 - Mastery - Advanced Track (Chapters 471–500)

  • 471. Governing Generative AI - Advanced.m4a
  • 472. Governing Foundation Models - Advanced.m4a
  • 473. Agentic AI and Autonomous Systems - Advanced.m4a
  • 474. Frontier Models and Systemic Risk - Advanced.m4a
  • 475. Multi-Agent and Compound Systems - Advanced.m4a
  • 476. AI Governance in High-Stakes Domains - Advanced.m4a
  • 477. Emerging Regulation and Horizon Scanning - Advanced.m4a
  • 478. Geopolitics of AI - Advanced.m4a
  • 479. AI Ethics Beyond Compliance - Advanced.m4a
  • 480. Measuring Governance Effectiveness - Advanced.m4a
  • 481. Case Studies_ Governance Successes - Advanced.m4a
  • 482. Case Studies_ Governance Failures - Advanced.m4a
  • 483. AI and the Future of Work - Advanced.m4a
  • 484. Sustainable and Responsible AI at Scale - Advanced.m4a
  • 485. AI Assurance as a Discipline - Advanced.m4a
  • 486. Quantifying and Pricing AI Risk - Advanced.m4a
  • 487. AI Insurance and Risk Transfer - Advanced.m4a
  • 488. Governing AI Research and Development - Advanced.m4a
  • 489. International Coordination and Standards - Advanced.m4a
  • 490. The Economics of AI Governance - Advanced.m4a
  • 491. Advanced Board Governance of AI - Advanced.m4a
  • 492. AI Governance and Digital Trust - Advanced.m4a
  • 493. Building an Industry-Leading Program - Advanced.m4a
  • 494. Governance for AI Platforms and Marketplaces - Advanced.m4a
  • 495. The Long-Term Trajectory of AI Governance - Advanced.m4a
  • 496. Synthesis_ The Complete Practitioner - Advanced.m4a
  • 497. Designing a Greenfield Governance Program - Advanced.m4a
  • 498. Transforming a Failing Program - Advanced.m4a
  • 499. The Governance Leader as Strategist - Advanced.m4a
  • 500. Mastery Capstone - The Integrated Program - Advanced.m4a
  • Module 47 - Mastery - Advanced Track.mp4
  • Module 47 - Mastery - Advanced Track.chapters.txt

Module 48 - Mastery - Applied Track (Chapters 501–530)

  • 501. Governing Generative AI - Applied.m4a
  • 502. Governing Foundation Models - Applied.m4a
  • 503. Agentic AI and Autonomous Systems - Applied.m4a
  • 504. Frontier Models and Systemic Risk - Applied.m4a
  • 505. Multi-Agent and Compound Systems - Applied.m4a
  • 506. AI Governance in High-Stakes Domains - Applied.m4a
  • 507. Emerging Regulation and Horizon Scanning - Applied.m4a
  • 508. Geopolitics of AI - Applied.m4a
  • 509. AI Ethics Beyond Compliance - Applied.m4a
  • 510. Measuring Governance Effectiveness - Applied.m4a
  • 511. Case Studies_ Governance Successes - Applied.m4a
  • 512. Case Studies_ Governance Failures - Applied.m4a
  • 513. AI and the Future of Work - Applied.m4a
  • 514. Sustainable and Responsible AI at Scale - Applied.m4a
  • 515. AI Assurance as a Discipline - Applied.m4a
  • 516. Quantifying and Pricing AI Risk - Applied.m4a
  • 517. AI Insurance and Risk Transfer - Applied.m4a
  • 518. Governing AI Research and Development - Applied.m4a
  • 519. International Coordination and Standards - Applied.m4a
  • 520. The Economics of AI Governance - Applied.m4a
  • 521. Advanced Board Governance of AI - Applied.m4a
  • 522. AI Governance and Digital Trust - Applied.m4a
  • 523. Building an Industry-Leading Program - Applied.m4a
  • 524. Governance for AI Platforms and Marketplaces - Applied.m4a
  • 525. The Long-Term Trajectory of AI Governance - Applied.m4a
  • 526. Synthesis_ The Complete Practitioner - Applied.m4a
  • 527. Designing a Greenfield Governance Program - Applied.m4a
  • 528. Transforming a Failing Program - Applied.m4a
  • 529. The Governance Leader as Strategist - Applied.m4a
  • 530. Mastery Capstone - The Integrated Program - Applied.m4a
  • Module 48 - Mastery - Applied Track.mp4
  • Module 48 - Mastery - Applied Track.chapters.txt

Module 49 - Mastery - Deep Dive Track (Chapters 531–559)

  • 531. Governing Generative AI - Deep Dive.m4a
  • 532. Governing Foundation Models - Deep Dive.m4a
  • 533. Agentic AI and Autonomous Systems - Deep Dive.m4a
  • 534. Frontier Models and Systemic Risk - Deep Dive.m4a
  • 535. Multi-Agent and Compound Systems - Deep Dive.m4a
  • 536. AI Governance in High-Stakes Domains - Deep Dive.m4a
  • 537. Emerging Regulation and Horizon Scanning - Deep Dive.m4a
  • 538. Geopolitics of AI - Deep Dive.m4a
  • 539. AI Ethics Beyond Compliance - Deep Dive.m4a
  • 540. Measuring Governance Effectiveness - Deep Dive.m4a
  • 541. Case Studies_ Governance Successes - Deep Dive.m4a
  • 542. Case Studies_ Governance Failures - Deep Dive.m4a
  • 543. AI and the Future of Work - Deep Dive.m4a
  • 544. Sustainable and Responsible AI at Scale - Deep Dive.m4a
  • 545. AI Assurance as a Discipline - Deep Dive.m4a
  • 546. Quantifying and Pricing AI Risk - Deep Dive.m4a
  • 547. AI Insurance and Risk Transfer - Deep Dive.m4a
  • 548. Governing AI Research and Development - Deep Dive.m4a
  • 549. International Coordination and Standards - Deep Dive.m4a
  • 550. The Economics of AI Governance - Deep Dive.m4a
  • 551. Advanced Board Governance of AI - Deep Dive.m4a
  • 552. AI Governance and Digital Trust - Deep Dive.m4a
  • 553. Building an Industry-Leading Program - Deep Dive.m4a
  • 554. Governance for AI Platforms and Marketplaces - Deep Dive.m4a
  • 555. The Long-Term Trajectory of AI Governance - Deep Dive.m4a
  • 556. Synthesis_ The Complete Practitioner - Deep Dive.m4a
  • 557. Designing a Greenfield Governance Program - Deep Dive.m4a
  • 558. Transforming a Failing Program - Deep Dive.m4a
  • 559. The Governance Leader as Strategist - Deep Dive.m4a
  • Module 49 - Mastery - Deep Dive Track.mp4
  • Module 49 - Mastery - Deep Dive Track.chapters.txt