A tailored course, built for your situation
Premium engagement picks with OECD AI Principles
Select high-impact AI governance work aligned to global standards
$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.
Who this is for
Senior technical leader in data and AI platforms, already operating at the governance intersection of engineering, policy, and compliance
Who this is not for
Entry-level practitioners, auditors focused on checklist compliance, or consultants selling generic AI ethics workshops
What you walk away with
- Identify and pursue engagements where OECD AI Principles create budget and mandate
- Position confidently in cross-functional AI initiatives using authoritative source language
- Differentiate from low-margin governance work by leading with international standards
- Build internal credibility as the go-to practitioner for policy-aligned AI delivery
- Turn framework knowledge into selective advantage, saying no to table stakes, yes to strategic impact
The 12 modules (with all 144 chapters)
Module 1. OECD AI Principles in practice
Ground your positioning in the actual implementation patterns of the OECD AI Principles, not abstract ideals. Learn how leading organizations interpret fairness, transparency, and accountability in production systems.
12 chapters in this module
- Origin of OECD AI Principles
- Five pillars explained concretely
- How governments adopt the framework
- Mapping to technical design choices
- Public signatories and commitments
- Role of national AI strategies
- Interpretation by data regulators
- Corporate adoption benchmarks
- Use in public procurement
- Tracking compliance posture
- Link to export controls
- Future revision cycles
Module 2. From principles to artefacts
Turn high-level commitments into working documents that guide real projects. Build implementation checklists, risk questionnaires, and model review templates grounded in the Principles.
12 chapters in this module
- Assessment list design
- Model card integration
- Data provenance mapping
- Bias evaluation triggers
- Escalation path definition
- Audit trail requirements
- Stakeholder transparency reports
- Internal review calendar
- Vendor diligence criteria
- Change control process
- Incident response linkage
- Board-level summary format
Module 3. Strategic engagement selection
Use the OECD framework to filter incoming requests and focus only on high-leverage opportunities. Recognize which projects will expand your influence and which to delegate.
12 chapters in this module
- Signals of strategic value
- Budget size indicators
- Executive sponsorship cues
- Cross-team complexity
- External visibility markers
- Regulator-facing deliverables
- First-mover advantage zones
- Repeatable framework use
- Vendor integration points
- Standards alignment opportunities
- M&A due diligence roles
- Scalable governance patterns
Module 4. Positioning for premium work
Establish credibility early in initiatives by referencing authoritative sources. Shape project scope through framing, not negotiation.
12 chapters in this module
- Opening statement templates
- Precedent citation methods
- Internal thought leadership
- Cross-functional language alignment
- Executive communication tone
- Risk prioritization language
- Framework cold recall
- Public commentary references
- Real-world enforcement examples
- Jurisdictional variation awareness
- Timeline anchoring tactics
- Influence without authority
Module 5. OECD mapping to technical architecture
Align data platform design to the Principles by identifying control points in pipelines, access layers, and monitoring systems.
12 chapters in this module
- Data quality controls
- Access logging standards
- Model versioning policy
- Drift detection thresholds
- Human-in-the-loop design
- Explainability integration
- Redress mechanism design
- System documentation depth
- Fail-safe triggers
- Audit readiness checks
- Bias mitigation requirements
- Transparency by design
Module 6. Engagement intake workflow
Create a repeatable system for evaluating new projects against the OECD lens. Build a scoring model that reflects strategic fit and leverage potential.
12 chapters in this module
- Request screening checklist
- Stakeholder alignment check
- Budget visibility verification
- Cross-functional impact index
- Executive access level
- Framework application depth
- External exposure potential
- Compliance linkage strength
- Vendor dependency analysis
- Scalability of solution
- Knowledge transfer pathway
- Repeat engagement likelihood
Module 7. Building internal credibility
Become the default reference point for AI governance decisions by consistently applying a recognized standard in visible ways.
12 chapters in this module
- Internal newsletter content
- Cross-team office hours
- Post-mortem contributions
- Framework training sessions
- Policy interpretation memos
- Onboarding integration
- Leadership briefing rhythm
- Risk dashboard ownership
- External speaker positioning
- Media interview prep
- Survey response authority
- Crisis response role
Module 8. Vendor governance with OECD lens
Apply the Principles to third-party AI tools and platforms. Lead vendor assessments that go beyond security checklists to ethical design and accountability.
12 chapters in this module
- Questionnaire design
- Due diligence depth
- Contractual terms alignment
- Performance benchmarking
- Audit rights negotiation
- Transparency requirements
- Model documentation standards
- Incident response obligations
- Redress mechanism verification
- Human oversight validation
- Bias testing expectations
- Exit strategy planning
Module 9. Cross-functional influence
Lead without authority by grounding recommendations in a globally recognized framework. Align product, engineering, legal, and compliance using shared language.
12 chapters in this module
- Common vocabulary creation
- Shared artefact templates
- Decision log structure
- Escalation path design
- Conflict resolution protocol
- Joint review meetings
- Inter-departmental metrics
- Unified reporting format
- Governance council role
- Policy exception process
- Change advisory board input
- Prioritization framework
Module 10. Executive communication
Translate technical work into strategic value using OECD-aligned messaging that resonates with leadership priorities.
12 chapters in this module
- Risk framing techniques
- Value articulation models
- Initiative packaging
- Budget justification language
- Trade-off communication
- Timeline expectation setting
- Stakeholder alignment proof
- Success metric definition
- Lessons learned reporting
- Future roadmap linkage
- Resource request framing
- Escalation presentation
Module 11. Compliance posture tracking
Build a living assessment of how well AI systems align with the OECD Principles. Use it to guide improvements and demonstrate maturity.
12 chapters in this module
- Maturity model design
- Self-assessment structure
- Evidence collection process
- Gap analysis method
- Remediation tracking
- Benchmarking against peers
- Progress visualization
- Audit preparation support
- Stakeholder reporting rhythm
- External validation path
- Certification readiness
- Continuous monitoring setup
Module 12. Sustaining strategic positioning
Maintain relevance as AI governance evolves. Stay ahead of regulatory developments and organizational changes that affect your role.
12 chapters in this module
- Regulatory horizon scanning
- Framework update tracking
- Internal policy evolution
- Market demand shifts
- Competitor positioning analysis
- Thought leadership rhythm
- Community engagement
- Conference participation
- Research collaboration
- Standards body awareness
- Team scaling strategy
- Knowledge transfer system
How this maps to your situation
- When starting a new AI governance initiative
- During vendor selection for AI tools
- Before executive review of AI strategy
- After a regulatory change affecting AI systems
Before vs. after
Before
Responding to ad hoc requests with inconsistent framing and limited strategic impact
After
Proactively selecting high-leverage engagements grounded in OECD AI Principles with clear executive alignment and budget
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: Approximately 3 hours per module, designed to be completed over 4-6 weeks with practical application between sections.
If nothing changes
Continuing to accept table-stakes governance work that doesn't expand your influence or differentiate your expertise in the AI space
How this compares to the alternatives
Unlike generic AI ethics courses, this program focuses specifically on the OECD AI Principles as a tool for engagement selection and strategic positioning, not just compliance. It avoids abstract philosophy and delivers actionable templates, real-world examples, and decision frameworks used by leading organizations.
Frequently asked
Who is this course for?
Senior technical leaders and governance practitioners who want to shift from reactive compliance to strategic AI leadership using an internationally recognized framework.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
What makes this different from other AI governance training?
It treats the OECD AI Principles not as a checklist but as a lever for selecting high-impact work, building credibility, and expanding influence in AI initiatives.
$199 one-time. Approximately 3 hours per module, designed to be completed over 4-6 weeks with practical application between sections..
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