A tailored course, built for your situation
Mastering OECD AI Principles for Product Leaders in AI Governance
Turn global AI standards into strategic influence without stepping into compliance roles.
$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.
Governance work often lands late, reactive, and disconnected from product reality.
The situation this course is for
Even strong product voices get sidelined when AI governance is seen as a compliance layer instead of a product responsibility. Decisions get made upstream without product input, then downstream teams scramble to retrofit principles into shipped code.
Who this is for
Product leaders at AI-first tech firms who need influence over governance without moving into a formal compliance role.
Who this is not for
Compliance officers seeking audit templates, or engineers looking for model monitoring code snippets.
What you walk away with
- Lead internal discussions on OECD AI Principles with confidence and framework fluency
- Anticipate governance requirements before they become constraints
- Own the vendor-review track for AI tools based on principle-based evaluation
- Shift from reactive policy adoption to proactive standard interpretation
- Document a repeatable process for embedding AI governance into product specs
The 12 modules (with all 144 chapters)
Module 1. Foundations of the OECD AI Principles
Break down the five OECD principles into operational commitments relevant to product design, including fairness, transparency, and accountability.
12 chapters in this module
- Origins of the OECD framework
- Human-centric design commitments
- Accountability ecosystems
- Transparency in AI lifecycles
- Fairness as a product requirement
- Robustness expectations
- Stakeholder inclusion models
- Public engagement norms
- AI as public good
- Implementation flexibility
- Mapping to product stages
- Connecting to engineering culture
Module 2. Product-Led Interpretation of AI Ethics
Shift from passive compliance to active shaping of what ethical AI means in your product context.
12 chapters in this module
- From guidelines to guardrails
- Building ethical review triggers
- Pre-mortems for AI launches
- Bias testing integration
- User feedback loops
- Designing for contestability
- Logging for audit readiness
- Versioning ethical assumptions
- Handling edge cases
- Scenario planning for misuse
- Feedback from regulators
- Internal red-teaming
Module 3. Embedding Governance in Product Requirements
Incorporate OECD expectations directly into PRDs and design sprints.
12 chapters in this module
- AI risk flags in Jira
- Checklist integration
- Governance milestones
- Spec-level transparency
- Model card linkages
- Data provenance fields
- Human oversight triggers
- Fallback mechanism specs
- Explainability targets
- Performance thresholds
- Incident response hooks
- Version rollback criteria
Module 4. Cross-Functional Alignment Without Authority
Lead alignment on AI standards across engineering, legal, and privacy without formal mandate.
12 chapters in this module
- Stakeholder mapping
- Building coalitions
- Framing tradeoffs
- Translating legal to product
- Creating shared definitions
- Workshop design
- Status reporting
- Escalation paths
- Dispute resolution
- Influence without control
- Tracking alignment
- Feedback integration
Module 5. Vendor Assessments Based on OECD Principles
Take ownership of third-party AI tool evaluations using the framework as a decision engine.
12 chapters in this module
- Scoring third-party vendors
- Transparency benchmarks
- Audit trail requirements
- Explainability depth
- Bias mitigation claims
- Human oversight checks
- Complaint mechanisms
- Security integration
- Contractual alignment
- Renewal triggers
- Performance penalties
- Exit clauses
Module 6. Internal Policy Drafting and Change Management
Lead iterative updates to internal AI use policies using real product feedback.
12 chapters in this module
- Baseline policy frameworks
- Change logs
- Version numbering
- Feedback collection
- Executive summaries
- Legal review loops
- Training materials
- Rollout planning
- Adoption metrics
- Compliance attestations
- Review cadence
- Retirement process
Module 7. Executive Communication on AI Governance
Frame AI governance progress in strategic terms that resonate with leadership.
12 chapters in this module
- Risk avoidance narrative
- Innovation enablement
- Brand protection
- Regulatory anticipation
- Investor confidence
- Talent attraction
- Customer trust
- Market differentiation
- Incident preparedness
- Long-term sustainability
- Public positioning
- Crisis response
Module 8. Designing for Audit Readiness
Ensure your product decisions stand up to internal and external scrutiny.
12 chapters in this module
- Audit trail design
- Evidence collection
- Version control
- Change justification
- Access logs
- Role-based permissions
- Data tagging
- Retention policies
- Query capabilities
- Export formats
- Chain of custody
- Documentation standards
Module 9. Measuring AI Governance Maturity
Track progress beyond checklists with meaningful KPIs and leading indicators.
12 chapters in this module
- Maturity model stages
- Self-assessment design
- Peer benchmarking
- Time to remediate
- Policy breach frequency
- User complaints
- Audit findings
- Training completion
- Escalation volume
- Stakeholder satisfaction
- Public incidents
- Improvement cycles
Module 10. Scaling Governance Across Product Teams
Create reusable patterns so governance doesn’t slow innovation.
12 chapters in this module
- Playbook development
- Template libraries
- Centralized tooling
- Embedded roles
- Training programs
- Champion networks
- Feedback loops
- Version control
- Audit trails
- Cross-team syncs
- Knowledge sharing
- Scaling triggers
Module 11. Handling Real-World Governance Incidents
Respond to public concerns, internal breaches, or regulatory inquiries with clarity.
12 chapters in this module
- Incident classification
- Response team roles
- Internal comms
- External messaging
- Regulator coordination
- Root cause analysis
- Remediation plans
- Timeline management
- Evidence preservation
- Legal alignment
- Public statements
- Post-mortems
Module 12. Sustaining Governance Evolution
Keep the framework alive and adaptive as AI technology and norms change.
12 chapters in this module
- Regulatory tracking
- Stakeholder updates
- Policy refresh cycles
- Feedback integration
- Training updates
- Tooling upgrades
- Audit improvements
- Benchmarking
- Public engagement
- Internal reporting
- Lessons learned
- Future-proofing
How this maps to your situation
- When drafting new product requirements
- Before vendor selection cycles
- During executive strategy sessions
- After regulatory updates
Before vs. after
Before
Governance feels like an external force applied late in the product cycle.
After
You shape governance expectations early and guide implementation across teams.
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 fit around product delivery cycles.
If nothing changes
Without proactive leadership on AI governance, product teams risk reactive constraints, missed innovation opportunities, and loss of influence to compliance or legal functions.
How this compares to the alternatives
Unlike generic AI ethics courses, this program is tailored to product leaders who need to apply OECD principles concretely, without becoming compliance officers.
Frequently asked
Is this course technical or strategic?
It’s strategic with concrete applications. You’ll learn how to lead on governance without needing to write code or run audits.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get a promotion?
It’s designed to expand your mandate in your current role, by giving you authority over AI governance decisions without requiring a title change.
$199 one-time. Approximately 3 hours per module, designed to fit around product delivery cycles..
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