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Sources and specific examples on hand when peers push back on AI governance decisions

$199.00
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A tailored course, built for your situation

Sources and specific examples on hand when peers push back on AI governance decisions

Build unshakable reasoning for your AI governance choices using ISO 42001 as anchor

$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

AI governance practitioner in a global systems integrator, operating at the boundary of policy and implementation

Who this is not for

Executives seeking high-level overviews or consultants wanting plug-and-play slides

What you walk away with

  • Point to specific ISO 42001 clauses when questioned about AI system boundaries
  • Reference real-world precedent calls from early adopters of the standard
  • Map internal control decisions directly to framework requirements
  • Use documented examples to resolve disputes in cross-functional alignment sessions
  • Respond to technical pushback with sourced, non-negotiable rationale

The 12 modules (with all 144 chapters)

Module 1. Orientation to ISO 42001 in AI governance contexts
Understand how ISO 42001 differs from prior frameworks and where it creates decision leverage in real engagements.
12 chapters in this module
  1. What AI governance needed that prompted ISO 42001
  2. Core clauses every practitioner must know cold
  3. Clause 8 4 2 vs clause 8 4 3 distinction in practice
  4. How the firm teams are applying clause 6 1 2
  5. First adopter patterns from the current cycle implementations
  6. Clause prioritization based on automation risk tier
  7. Mapping AI lifecycle stages to clause clusters
  8. Differences from NIST AI RMF in operational settings
  9. Where ISO 42001 converges with SOC 2 controls
  10. Common misreadings of clause 7 2 3
  11. Documentation depth expected for clause 5 1
  12. Clause 9 1 1 response strategies under audit
Module 2. Justifying scope decisions under clause 6 1
Defend choices about which AI systems fall under governance using verifiable criteria and precedent.
12 chapters in this module
  1. Defining 'significant influence' per clause 6 1 a
  2. Thresholds for data volume triggering inclusion
  3. Case study AI workflow in financial forecasting
  4. Vendor AI tools under managed oversight
  5. When custom scripts qualify as AI systems
  6. Self classification forms for development teams
  7. Audit evidence for scope exclusion claims
  8. Precedent from banking sector implementations
  9. Handling edge cases in robotic process automation
  10. Documenting rationale for borderline systems
  11. Cross functional sign off on scope boundaries
  12. Versioning scope decisions over time
Module 3. Control mapping with ISO 42001 clause 8 4
Translate organizational policies into specific, challengeable control placements.
12 chapters in this module
  1. Clause 8 4 1 documentation expectations
  2. Clause 8 4 2 human oversight design patterns
  3. Technical logging depth for clause 8 4 3
  4. Bias mitigation evidence under clause 8 4 4
  5. Transparency mechanisms for clause 8 4 5
  6. Mapping vendor deliverables to clause 8 4
  7. Automation triggers for clause 8 4 6 monitoring
  8. Incident response plans tied to clause 8 4 7
  9. Clause 8 4 8 fallback procedure examples
  10. Version control for AI model parameters
  11. Training data provenance documentation
  12. Model retraining triggers and approvals
Module 4. Preempting challenges to human oversight design
Anchor oversight patterns in clause 8 4 2 with specific implementation blueprints.
12 chapters in this module
  1. Defining meaningful human review per ISO
  2. Time between AI output and human check
  3. Role based access for oversight actors
  4. Case study medical triage workflow
  5. Automated escalation paths when review lags
  6. Documentation of human input decisions
  7. Sampling frequency for audit confirmation
  8. Remote oversight validation methods
  9. Shared responsibility models with clients
  10. Tools for capturing human intervention
  11. Metrics proving oversight effectiveness
  12. Adjusting oversight for real time systems
Module 5. Defending bias and fairness assessments
Respond to质疑 about fairness metrics using ISO 42001 clause 8 4 4 and real benchmarks.
12 chapters in this module
  1. Acceptable drift thresholds in scoring models
  2. Bias testing across demographic segments
  3. Pre deployment fairness report structure
  4. Post deployment monitoring frequency
  5. Documentation of mitigation steps taken
  6. Case study credit scoring pipeline
  7. Third party validation timing and scope
  8. Handling proxy variables in training data
  9. Fairness definitions by use case type
  10. Transparency of fairness methodology
  11. Escalation process when thresholds breached
  12. Versioning fairness criteria over time
Module 6. Justifying data provenance and lineage claims
Use clause 8 4 3 to defend data quality assertions with verifiable chain of custody.
12 chapters in this module
  1. Data source classification schema
  2. Documentation depth for public datasets
  3. Vendor provided data assurance levels
  4. Internal data labeling process validation
  5. Metadata tagging standards for AI inputs
  6. Chain of custody for training data
  7. Versioning of data preprocessing code
  8. Retention periods for training data sets
  9. Audit ready data inventories
  10. Handling synthetic training data
  11. Data freshness requirements by use case
  12. Cross border data flow disclosures
Module 7. Responding to transparency and explainability challenges
Cite clause 8 4 5 to justify explainability depth and format choices.
12 chapters in this module
  1. Required detail in model documentation
  2. User facing explanations vs internal docs
  3. Right to explanation implementation
  4. Case study autonomous vehicle routing
  5. Explainability depth by risk tier
  6. Tools for generating model summaries
  7. Third party access to documentation
  8. Version control for explanation outputs
  9. Handling proprietary model constraints
  10. Balancing security and transparency
  11. Logging explainability requests
  12. Updating documentation after retraining
Module 8. Standing by monitoring and correction mechanisms
Use clause 8 4 6 and 8 4 8 to defend ongoing performance tracking setups.
12 chapters in this module
  1. Performance decay thresholds
  2. Automated alerting on model drift
  3. Human review triggers for corrected outputs
  4. Feedback loops from end users
  5. Case study customer service chatbot
  6. Logging corrections applied to AI output
  7. Root cause analysis after correction
  8. Retraining approval workflow
  9. Versioning of corrected models
  10. Audit trail for monitoring decisions
  11. Handling false positive corrections
  12. Escalation process for systemic failures
Module 9. Handling third party AI system oversight
Apply clause 8 4 7 to vendor managed systems with specific contractual and technical levers.
12 chapters in this module
  1. Contractual obligations for ISO 42001 compliance
  2. Right to audit clauses in vendor agreements
  3. Third party attestation expectations
  4. Case study cloud based recommendation engine
  5. Shared controls vs provider only controls
  6. Evidence collection from external vendors
  7. Penetration testing coordination
  8. Incident response with vendor involvement
  9. Change management for third party updates
  10. Fallback arrangements for vendor outage
  11. Performance benchmarking against SLAs
  12. Termination triggers for repeated failures
Module 10. Documenting governance decisions for audit
Structure artefacts to survive auditor scrutiny using ISO 42001 clause 9 references.
12 chapters in this module
  1. Audit ready statement of applicability
  2. Control implementation evidence packages
  3. Management review meeting minutes
  4. Non conformity tracking log
  5. Corrective action documentation
  6. Internal audit planning and results
  7. External assessment coordination
  8. Clause by clause compliance matrix
  9. Version control for governance artefacts
  10. Retention schedule for records
  11. Access controls for audit documentation
  12. Pre audit walkthrough checklists
Module 11. Leading cross functional alignment sessions
Use ISO 42001 as a neutral reference to resolve disputes between teams.
12 chapters in this module
  1. Facilitating scope discussions with legal
  2. Aligning with privacy team on data rights
  3. Resolving conflicts with development teams
  4. Case study AI powered contract review
  5. Working with security on access controls
  6. Negotiating timelines with operations
  7. Presenting rationale to client stakeholders
  8. Handling changes requested by vendors
  9. Documenting alignment decisions made
  10. Versioning governance policies
  11. Tracking open issues across teams
  12. Escalation paths for unresolved disputes
Module 12. Sustaining governance through leadership changes
Build artefacts that outlast individual contributors using ISO 42001 as anchor.
12 chapters in this module
  1. Succession planning for governance roles
  2. Knowledge transfer checklists
  3. Documented decision rationales
  4. Onboarding materials for new members
  5. Standard operating procedures
  6. Playbook maintenance workflow
  7. Version history of framework changes
  8. Training materials for new hires
  9. Internal certification process
  10. Governance committee charter
  11. Meeting rhythm and agenda templates
  12. Performance metrics for the function

How this maps to your situation

  • When a peer questions why a system is in scope
  • When legal challenges the depth of bias testing
  • When a vendor refuses audit access
  • When leadership demands faster deployment

Before vs. after

Before
Having to improvise explanations when challenged on AI governance decisions
After
Walking into any conversation with sourced, specific examples ready

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters total)
  • 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, total 36 hours recommended over 6 weeks with practice exercises.

How this compares to the alternatives

Unlike generic AI ethics courses, this focuses on operational decisions grounded in ISO 42001 with verifiable examples. Compared to vendor specific training, it provides neutral, defensible reasoning applicable across platforms.

Frequently asked

How is this different from NIST AI RMF training?
This course focuses on implementing ISO 42001 with specific clause references, artefacts, and precedent, rather than general risk frameworks.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non AI automation systems?
Yes, the defensibility pattern works for any governed decision where peers may push back.
$199 one-time. Approximately 3 hours per module, total 36 hours recommended over 6 weeks with practice exercises..

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
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