A tailored course, built for your situation
Influence on AI governance decisions through OECD AI Principles
Build authority in vendor evaluations and cross-functional AI governance
$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 practitioner in AI governance, platform engineering, or risk-aligned software development, navigating cross-functional influence without formal authority
Who this is not for
Entry-level contributors not involved in technical reviews, practitioners focused only on implementation without governance input, or those seeking executive-level policy roles
What you walk away with
- Cite OECD AI Principles with precision during technical design reviews
- Lead vendor evaluation criteria using internationally recognized benchmarks
- Shape peer consensus on AI risk thresholds without escalation
- Produce reusable governance artefacts that gain adoption across teams
- Gain direct influence on architecture decisions involving third-party AI components
The 12 modules (with all 144 chapters)
Module 1. OECD AI Principles foundation
Establish the core intent and structure of the OECD AI Principles, focusing on inclusive growth, human rights, and transparency as decision levers.
12 chapters in this module
- Origins of the OECD AI Principles
- Five pillars overview
- Designing for explainability
- Human-centric deployment
- Bias mitigation expectations
- Public sector influence
- Private adoption patterns
- Mapping to technical controls
- Governance team roles
- Cross-border alignment
- Industry-specific interpretations
- Integration with engineering workflows
Module 2. Influence in technical design reviews
Apply the OECD framework to assert influence in early-stage architecture discussions, even without formal approval authority.
12 chapters in this module
- Spotting AI-relevant design patterns
- Framing concerns as principles alignment
- Timing interventions effectively
- Using neutral language
- Documenting assumptions
- Identifying high-risk use cases
- Referring to public sector precedents
- Asking for evidence, not opinions
- Introducing third-party audit expectations
- Escalation paths for unresolved gaps
- Building peer credibility over time
- Tracking decision impact
Module 3. Vendor selection criteria development
Build evaluation checklists anchored in the OECD principles to guide procurement and integration decisions.
12 chapters in this module
- Mapping principles to vendor risk
- Defining minimum transparency standards
- Assessing model documentation depth
- Testing for human oversight
- Evaluating redress mechanisms
- Scorecard design techniques
- Weighting fairness indicators
- Requiring bias testing protocols
- Reviewing accountability structures
- Benchmarking against public agencies
- Handling proprietary model claims
- Incorporating into RFPs
Module 4. Peer consensus building
Turn principles into shared language for aligning engineers, product managers, and compliance teams.
12 chapters in this module
- Translating principles to engineering terms
- Creating decision filters
- Running alignment workshops
- Developing shared vocabulary
- Using real-world incidents
- Highlighting positive outcomes
- Avoiding compliance framing
- Focusing on long-term sustainability
- Linking to incident response
- Measuring team maturity
- Recognizing quiet advocates
- Sustaining momentum
Module 5. AI risk threshold definition
Define organizational risk boundaries using the OECD framework to prevent rework and misalignment.
12 chapters in this module
- Categorizing AI applications
- Setting confidence thresholds
- Defining unacceptable use cases
- Mapping to data sensitivity
- Establishing review triggers
- Determining exception processes
- Aligning with legal guidance
- Incorporating audit requirements
- Assessing model drift impact
- Planning for decommissioning
- Versioning governance rules
- Communicating thresholds clearly
Module 6. Governance artefact creation
Develop living documents that evolve with practice and gain organizational adoption.
12 chapters in this module
- Template for AI register
- Principles alignment checklist
- Vendor assessment worksheet
- Stakeholder review protocol
- Decision log format
- Risk scoring matrix
- Incident documentation form
- Model lifecycle tracker
- Internal audit readout
- External reporting snapshot
- Training materials for onboarding
- Version control for policies
Module 7. Architecture decision influence
Position governance as an enabler of speed and safety in technical decision-making.
12 chapters in this module
- Timing governance input
- Identifying inflection points
- Asking strategic questions
- Anticipating downstream effects
- Highlighting technical debt risks
- Connecting to observability
- Ensuring model interpretability
- Recommending fallback mechanisms
- Linking to monitoring systems
- Supporting rollback design
- Validating fallback logic
- Influencing API design choices
Module 8. Cross-functional adoption strategies
Drive voluntary adoption of governance practices across independent teams.
12 chapters in this module
- Identifying early adopters
- Demonstrating tangible benefits
- Reducing integration effort
- Aligning with team goals
- Creating lightweight onboarding
- Sharing success stories
- Recognizing contributors
- Lowering documentation burden
- Integrating with CI/CD
- Providing reference implementations
- Measuring adoption depth
- Sustaining engagement
Module 9. Stakeholder communication refinement
Tailor messaging to engineers, legal, executives, and external partners.
12 chapters in this module
- Engineer-focused messaging
- Legal team alignment
- Executive summary writing
- External auditor preparation
- Regulator-facing documentation
- Public relations considerations
- Investor communication risks
- Press inquiry protocols
- Social media guardrails
- Internal comms planning
- Incident disclosure standards
- Crisis messaging templates
Module 10. Incident response integration
Embed OECD principles into incident triage, investigation, and remediation workflows.
12 chapters in this module
- Detection of principle violations
- Initial assessment protocol
- Stakeholder notification process
- Root cause analysis method
- Remediation planning
- Bias impact assessment
- Redress mechanism activation
- Public disclosure criteria
- Lessons learned capture
- Policy update process
- Training updates required
- Audit trail preservation
Module 11. Continuous monitoring design
Implement systems to track ongoing compliance with AI governance expectations.
12 chapters in this module
- Defining monitoring scope
- Selecting observable metrics
- Setting alert thresholds
- Automating documentation
- Reviewing model drift
- Tracking data lineage
- Validating human oversight
- Testing fallback systems
- Auditing access logs
- Reviewing incident logs
- Updating risk models
- Reporting to review boards
Module 12. Long-term governance evolution
Adapt the framework as organizational needs and external expectations shift.
12 chapters in this module
- Tracking regulatory changes
- Updating internal standards
- Engaging with standards bodies
- Contributing to open source
- Participating in forums
- Publishing best practices
- Mentoring emerging leaders
- Rotating review members
- Evaluating framework changes
- Updating training materials
- Assessing cultural fit
- Measuring long-term impact
How this maps to your situation
- Before first AI vendor evaluation
- After joining a new AI initiative
- When designing internal AI policy
- During incident response planning
Before vs. after
Before
Ad-hoc influence in AI discussions, relying on personal relationships or seniority to shape outcomes.
After
Consistent, framework-backed influence in technical decisions, vendor evaluations, and policy direction , even without formal authority.
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 week over 4 weeks to complete all modules and apply templates.
How this compares to the alternatives
Unlike generic AI ethics courses, this program focuses on actionable application of the OECD AI Principles in technical governance, with templates and examples tailored to real-world software and data environments.
Frequently asked
Is this course technical or policy-focused?
It's designed for technical practitioners influencing governance. Content focuses on applying the OECD principles to vendor selection, architecture reviews, and team decisions.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use the templates in my current role?
Yes. All templates are license-free and designed for immediate use in enterprise software and data environments.
$199 one-time. Approximately 3 hours per week over 4 weeks to complete all modules and apply templates..
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