A tailored course, built for your situation
Mastering OECD AI Principles for General Management Leaders
Build defensible AI governance grounded in international consensus and ready for cross-functional scrutiny
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Even strong AI governance approaches get challenged, without sources and structured reasoning, decisions stall in review
The situation this course is for
Practitioners are expected to lead AI governance without the foundational depth to justify their choices when questioned. Generic frameworks don’t survive real scrutiny. Without access to specific implementations, policy rationale crumbles under pushback.
Who this is for
Senior leader in general management shaping AI strategy, accountable for cross-functional alignment and governance outcomes
Who this is not for
This is not for implementers focused only on technical controls, entry-level compliance staff, or those seeking certification prep. It’s for leaders who must defend strategy in real time.
What you walk away with
- Map each OECD AI Principle to real-world enforcement outcomes and policy reversals
- Reference specific national implementations (France, Japan, Canada) when defending design choices
- Build governance narratives backed by consensus-level rationale, not opinion
- Respond to pushback with sourced examples and precedent from OECD reporting
- Anticipate critique patterns and prepare counterpoints using documented country positions
The 12 modules (with all 144 chapters)
Module 1. Foundations of the OECD AI Principles
Understand the origin, structure, and global influence of the OECD AI Principles, including adoption timeline and signatory obligations.
12 chapters in this module
- Origins right now OECD Ministerial Meeting
- Five pillars: Inclusive growth, human-centered values, transparency, robustness, accountability
- Relationship to EU AI Act
- How non-binding principles gain enforcement power
- Comparison to ISO 42001 scope
- Adoption by 42 countries as of current cycle
- US government use in AI executive orders
- Japan’s integration into digital strategy
- France’s use in public sector AI guidelines
- Canada’s alignment with Directive on Automated Decision-Making
- UK’s adaptation in Algorithmic Transparency Recording Standard
- Australia’s application in ethical AI procurement
Module 2. Principle 1: Inclusive Growth, Sustainable Development, and Well-being
Apply the first principle to evaluate AI initiatives on long-term societal impact, not just ROI.
12 chapters in this module
- Defining 'well-being' in OECD context
- GDP-adjusted AI benefit modeling
- Case: South Korea’s AI in education rollout
- Worked example: Workforce displacement forecast
- Counterexample: Retail automation without reskilling
- Stakeholder mapping for broad impact assessment
- Well-being metrics beyond profit
- UN SDG alignment checklist
- Local vs national well-being tradeoffs
- Public consultation thresholds
- Bias in growth projections
- Avoiding techno-solutionism traps
Module 3. Principle 2: Human-Centered Values
Ensure AI systems respect human rights and constitutional values through design and oversight.
12 chapters in this module
- Human rights framework integration
- EU Charter of Fundamental Rights alignment
- Case: Biometric surveillance in public transit
- Designing for dignity and autonomy
- Redress mechanisms in AI decisioning
- Gender impact assessments
- Accessibility by default
- Consent beyond GDPR
- Children’s data protections
- Mental health considerations
- Cultural context in value definitions
- Conflict resolution pathways
Module 4. Principle 3: Fairness and Non-Discrimination
Implement fairness beyond statistical parity using OECD’s multi-dimensional approach.
12 chapters in this module
- Distinguishing fairness frameworks
- Contextual vs absolute fairness
- Case: Credit scoring in emerging markets
- Disaggregated impact testing
- Historical disadvantage factors
- Intersectional analysis methods
- Bias audit documentation
- Third-party review triggers
- Thresholds for intervention
- Remediation planning
- Transparency in fairness claims
- Public reporting expectations
Module 5. Principle 4: Transparency and Explainability
Deliver meaningful transparency that informs oversight, not just technical explainability.
12 chapters in this module
- Difference between explainability and transparency
- Audience-specific disclosure levels
- Case: Healthcare diagnostic AI
- Public register design
- Risk-based disclosure tiers
- Explainability debt tracking
- Stakeholder communication plans
- Summary-level disclosures
- Technical documentation standards
- Version control for AI artifacts
- Change notification protocols
- Whistleblower protections
Module 6. Principle 5: Robustness, Security, and Safety
Apply OECD standards for resilience through design, testing, and incident response.
12 chapters in this module
- Lifecycle security integration
- Threat modeling for AI systems
- Case: Autonomous vehicle failure modes
- Red teaming frameworks
- Fail-safe defaults
- Data integrity protections
- Model drift detection
- Cybersecurity baseline alignment
- Penetration testing scope
- Incident response workflows
- Recovery thresholds
- Post-mortem documentation
Module 7. Accountability in AI Governance
Design clear accountability mechanisms that align with OECD expectations.
12 chapters in this module
- Defining accountable entities
- Oversight body independence
- Case: Financial sector model validation
- Liability frameworks
- Audit trail requirements
- Third-party assurance options
- Internal review frequency
- External reporting obligations
- Escalation pathways
- Enforcement history review
- Remediation tracking
- Public trust metrics
Module 8. Implementation Across Government Sectors
Learn how different nations operationalize the principles in distinct domains.
12 chapters in this module
- Healthcare: AI in diagnosis support
- Education: Adaptive learning systems
- Transportation: Traffic management AI
- Justice: Risk assessment tools
- Social services: Benefits allocation
- Energy: Grid optimization models
- Agriculture: Precision farming tools
- Defense: Non-lethal AI applications
- Customs: Risk-based inspection AI
- Public safety: Predictive policing
- Housing: Allocation algorithms
- Labor: Hiring assistance tools
Module 9. Cross-National Enforcement Patterns
Anticipate how policy challenges arise from differing national interpretations.
12 chapters in this module
- EU’s rights-based enforcement
- US sectoral approach patterns
- Canada’s human rights lens
- Japan’s industrial policy alignment
- France’s data sovereignty focus
- Australia’s privacy-first model
- India’s digital public infrastructure
- Brazil’s consumer protection use
- Kenya’s developmental emphasis
- Singapore’s regulatory sandbox
- South Korea’s innovation balance
- Mexico’s labor protections
Module 10. Responding to Peer Challenges
Prepare for real-world scrutiny using documented precedents and structured reasoning.
12 chapters in this module
- Typical pushback: 'Too slow'
- Counter: Examples of accelerated adoption
- Pushback: 'Overregulating innovation'
- Counter: OECD innovation support clauses
- Pushback: 'Not binding'
- Counter: G7/G20 endorsement weight
- Pushback: 'US-only relevance'
- Counter: 42-country adoption
- Pushback: 'Already covered by ISO'
- Counter: OECD’s policy influence beyond standards
- Pushback: 'Not technical enough'
- Counter: Design-time integration examples
Module 11. Documentation and Audit Readiness
Build defensible records that survive auditor and executive scrutiny.
12 chapters in this module
- Principle alignment mapping
- Decision rationale capture
- Stakeholder consultation logs
- Bias assessment records
- Transparency documentation
- Accountability assignments
- Risk register updates
- Incident logs
- Remediation evidence
- Third-party review reports
- Public disclosure archives
- Version control trails
Module 12. Future-Proofing Strategy
Use OECD foundations to anticipate next-phase governance demands.
12 chapters in this module
- AI in climate modeling oversight
- Autonomous systems in public spaces
- Generative AI in government services
- AI and democratic processes
- Labor market transformation tracking
- Global AI treaty developments
- OECD monitoring recommendations
- National AI maturity benchmarks
- Cross-border data flows
- Military AI developments
- Space-based AI systems
- Long-term societal impact forecasting
How this maps to your situation
- When peers question pace of AI governance rollout
- When legal team challenges policy grounding
- When engineering resists oversight requirements
- When executives demand faster innovation
Before vs. after
Before
AI governance debates stall due to lack of shared reference points and documented precedent.
After
You lead with sourced examples and consensus-level reasoning , turning skepticism into alignment.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: 12 modules, designed for 30-45 minutes per module , fits around executive schedules.
If nothing changes
Without a defensible foundation, AI governance initiatives get delayed, diluted, or dismantled when challenged , even if technically sound.
How this compares to the alternatives
Unlike certification prep or generic AI ethics courses, this program focuses on real-world defense of governance decisions using internationally recognized principles and documented implementations.
Frequently asked
Is this course technical or policy-focused?
It's for policy and strategy leaders who need to defend governance choices with concrete examples and structured reasoning , not for hands-on model developers.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me respond to internal challenges?
Yes , each module builds your ability to respond with specific examples from OECD members and documented implementations.
$199 one-time. 12 modules, designed for 30-45 minutes per module , fits around executive schedules..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours