Lead your organization through the AI regulatory era with authority
This is the governance program built for the executives who will be held accountable — equipping you to conduct multi-jurisdictional gap analyses, design board-ready compliance frameworks, and translate dense regulatory language into credible organizational strategy.
Policy fluency isn't a nice-to-have for senior leaders anymore — it's the foundation of every credible AI decision your organization will make under scrutiny.— Pauline Smith EdD
What you'll learn
What you'll be able to do
- Conduct a jurisdiction-by-jurisdiction AI regulatory gap analysis (EU AI Act, US Executive Orders, OECD frameworks, and beyond) and map obligations to your organization's specific AI use cases.
- Design and implement a board-ready AI governance framework that integrates risk tiering, accountability structures, and audit trails aligned to international compliance standards.
- Lead cross-functional regulatory readiness assessments that identify high-risk AI systems before deployment and establish pre-market conformity protocols.
- Develop and negotiate responsible AI policies — including bias mitigation, transparency disclosures, and human oversight requirements — that satisfy regulators across multiple legal systems simultaneously.
- Build a global AI compliance roadmap with milestone checkpoints, regulatory monitoring cadences, and escalation procedures for emerging legislative changes.
- Communicate AI governance posture to regulators, investors, and the public with confidence, translating dense policy language into credible executive narratives and stakeholder reporting.
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 27 lessons
The Global AI Regulatory Landscape
Builds policy fluency by mapping the world's major AI regulatory regimes, their jurisdictional scope, and their enforcement realities.
- 1.1The EU AI Act: Risk Tiers, Obligations, and Enforcement ArchitectureIncluded
- 1.2US AI Policy: Executive Orders, Agency Rules, and the Sectoral PatchworkIncluded
- 1.3OECD AI Principles, G7 Hiroshima Commitments, and Multilateral FrameworksIncluded
- 1.4Emerging Regimes: China, UK, Canada, Brazil, and the Indo-PacificIncluded
- 1.5Jurisdiction-by-Jurisdiction Gap Analysis: Method and Executive ToolkitIncluded
AI Risk Classification and High-Risk System Identification
Equips senior leaders to categorize organizational AI systems by regulatory risk tier and establish pre-deployment conformity protocols.
- 2.1Defining High-Risk AI: Regulatory Criteria Across JurisdictionsIncluded
- 2.2Enterprise AI Use-Case Inventory and Risk-Tiering WorkshopIncluded
- 2.3Pre-Market Conformity Assessment and Technical Documentation RequirementsIncluded
- 2.4Cross-Functional Regulatory Readiness Assessment: Process and GovernanceIncluded
Designing a Board-Ready AI Governance Framework
Provides the structural blueprint for an enterprise-wide AI governance framework that satisfies board-level accountability and international audit standards.
- 3.1Governance Architecture: Roles, Accountability Structures, and Decision RightsIncluded
- 3.2AI Risk Register, Audit Trails, and Evidentiary DocumentationIncluded
- 3.3Integrating AI Governance into Enterprise Risk Management and ESG FrameworksIncluded
- 3.4Board Reporting: Metrics, Dashboards, and Governance ScorecardsIncluded
Responsible AI Policy: Bias, Transparency, and Human Oversight
Covers the substantive policy requirements — fairness, explainability, and human control — that regulators across jurisdictions demand and how to operationalize them simultaneously.
- 4.1Bias Mitigation Obligations: Legal Standards and Practical MethodologyIncluded
- 4.2Transparency and Explainability: Disclosure Regimes and Plain-Language StandardsIncluded
- 4.3Human Oversight Requirements: Meaningful Control and Override MechanismsIncluded
- 4.4Drafting and Negotiating Multi-Jurisdictional Responsible AI PoliciesIncluded
- 4.5Third-Party and Supply-Chain AI Compliance: Vendor Due DiligenceIncluded
Building and Executing a Global AI Compliance Roadmap
Translates regulatory obligations and governance design into a time-bound, milestone-driven compliance roadmap with monitoring and escalation built in.
- 5.1Compliance Roadmap Architecture: Milestones, Owners, and Regulatory DeadlinesIncluded
- 5.2Regulatory Monitoring Cadence: Tracking Legislative Change in Real TimeIncluded
- 5.3Escalation Protocols for Emerging Regulatory RiskIncluded
- 5.4Cross-Border Compliance Coordination: Managing Conflicts and Jurisdictional OverlapsIncluded
Executive Communication, Regulatory Engagement, and Stakeholder Trust
Develops the communication and engagement skills executives need to represent their organization's AI governance posture credibly to regulators, investors, and the public.
- 6.1Translating Policy Language into Executive and Board NarrativesIncluded
- 6.2Regulator Relations: Engagement Strategy, Sandboxes, and Supervisory DialogueIncluded
- 6.3Investor and ESG Disclosure: AI Governance as a Value SignalIncluded
- 6.4Public Communication, Crisis Response, and AI Incident DisclosureIncluded
- 6.5Capstone: Enterprise AI Governance Posture Review and PresentationIncluded
Who it's for
Is this you?
Chief Executive Officers
You are accountable to the board for AI strategy and risk — this program gives you the governance architecture and regulatory fluency to lead that mandate with precision.
Chief Legal & Compliance Officers
You need more than jurisdictional awareness — this program delivers the multi-jurisdictional gap analysis methods, policy drafting frameworks, and audit trail structures that make your compliance posture defensible.
Board Members & Directors
Your fiduciary oversight of AI risk requires the ability to interrogate governance scorecards and compliance reports — this program equips you to ask the right questions and recognize credible answers.
VPs of Technology & Digital
You are deploying AI systems that regulators are actively scrutinizing — this program gives you the pre-market conformity, risk-tiering, and cross-functional readiness tools to do so without creating organizational liability.
Senior Policy Professionals
You bridge regulatory frameworks and organizational strategy — this program sharpens your ability to translate global AI policy obligations into governance structures and executive narratives that hold up under external scrutiny.
Chief Risk & ESG Officers
AI governance is now a material component of enterprise risk and ESG disclosure — this program integrates it into the frameworks, reporting cycles, and investor communication processes you already own.
Questions
Frequently asked
Your teacher
A note from your teacher
Pauline Smith EdD
If you are reading this, you are almost certainly already feeling the weight of what AI governance accountability means at the senior level — the regulatory headlines arriving faster than your legal team can brief you, the board asking questions you are not yet equipped to answer with precision, and the uncomfortable gap between your organization's AI ambitions and the compliance architecture that would need to underpin them.
That gap is not a personal failing. The global AI regulatory environment is genuinely complex, rapidly evolving, and — until now — largely served by resources written for lawyers, technologists, or academics rather than for the senior executives who are ultimately accountable for organizational outcomes. What has been missing is a rigorous, practitioner-grade curriculum that addresses AI governance the way a seasoned policy counsel would brief a boardroom: with clarity, strategic framing, and real-world regulatory grounding.
That is what this program is built to provide. We move through the global regulatory landscape with discipline — the EU AI Act's risk tiers and enforcement architecture, the U.S. sectoral patchwork of Executive Orders and agency rules, the OECD and G7 multilateral frameworks, and the emerging regimes across China, the UK, Canada, Brazil, and the Indo-Pacific. We do not stop at awareness. You will leave with a jurisdiction-by-jurisdiction gap analysis method you can apply to your organization's actual AI use cases, a governance framework designed to hold up under board, auditor, and regulatory scrutiny, and a global compliance roadmap with the monitoring and escalation procedures to keep it current.
I want to address the objection I hear most often from senior leaders considering this program: "My legal or compliance team handles this — why do I need to develop this fluency myself?" The answer is accountability. When a regulator calls, when a material AI incident requires public disclosure, when an investor asks about your AI governance posture in a due diligence process, or when your board needs to approve a high-risk AI deployment — the policy fluency, the governance architecture, and the communication strategy have to come from you. Your legal team is an essential partner. They are not a substitute for executive judgment.
By the time you complete the capstone — an enterprise AI governance posture review structured for board or regulatory presentation — you will have built the capability to lead this function with authority. I invite you to begin.
— Pauline Smith EdD
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- 6 modules, 27 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed