A tailored course, built for your situation
Mastering ISO 42001 for Senior HR Compliance Leads
Build defensible, source-backed AI governance frameworks in regulated environments
$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.
Feeling questioned on AI governance decisions despite sound intent?
The situation this course is for
Even well-structured AI governance efforts falter when teams lack concrete justification for control design. Practitioners often default to opinion, not evidence, making them vulnerable to pushback and delays.
Who this is for
Senior HR or compliance leaders in regulated services firms implementing ISO 42001-aligned AI governance frameworks
Who this is not for
Individuals seeking introductory AI awareness or general ethics overviews
What you walk away with
- Map ISO 42001 controls to HR-specific AI use cases with documented rationale
- Justify control design using framework-native logic and authoritative sources
- Respond confidently to cross-functional challenges using precedent-based reasoning
- Build implementation playbooks grounded in auditable decision trails
- Produce governance artefacts that stand up to internal audit and peer review
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in People-Centric AI
Establish context for AI governance in HR environments using ISO 42001 structure, scope, and terminology with emphasis on workforce data sensitivity and trust boundaries.
12 chapters in this module
- Defining AI systems in HR contexts
- Scope boundaries for employee-facing AI
- Roles and responsibilities under ISO 42001
- Linking AI governance to existing HR policies
- Regulatory overlap with GDPR and DORA
- Stakeholder mapping for AI governance
- Risk tolerance in talent management AI
- Establishing governance baselines
- Documenting AI system inventories
- Control objective alignment
- Evidence requirements for HR AI
- Audit expectations for certification
Module 2. Control A.8: Human Resource Management
Deep dive into HR-specific controls including hiring, performance, and termination systems using ISO 42001 A.8.1 through A.8.6 with real-world implementation benchmarks.
12 chapters in this module
- A.8.1 Fairness in AI hiring tools
- A.8.2 Bias monitoring in promotion models
- A.8.3 Explainability for disciplinary AI
- A.8.4 Transparency in workforce analytics
- A.8.5 Employee consent in monitoring
- A.8.6 Redress mechanisms design
- HR data lifecycle and AI access
- Audit logging for people decisions
- Consistency checks with collective agreements
- Benchmarking fairness thresholds
- Documentation for employee review panels
- Third-party vendor oversight in HR tech
Module 3. Control A.6: Asset Management
Apply asset classification, ownership, and handling rules to AI models, training data, and HR analytics pipelines under ISO 42001 A.6 framework.
12 chapters in this module
- Classifying HR AI models as assets
- Data sensitivity tagging in training sets
- Ownership assignment for AI pipelines
- Retention rules for AI-generated insights
- Decommissioning protocols for outdated models
- Inventory reconciliation processes
- Version control for HR AI systems
- Access logging for model outputs
- Classification of automated workflows
- Metadata tagging for auditability
- Third-party data asset tracking
- Reclassification triggers based on impact
Module 4. Control A.7: Access Rights Management
Implement role-based access, least privilege, and segregation of duties for HR AI systems with ISO 42001 A.7.1 to A.7.6 compliance.
12 chapters in this module
- Role definitions for HR AI access
- Segregation of duties in AI approvals
- Access reviews for talent analytics
- Privileged access for model tuning
- Just-in-time access for investigations
- Access revocation on role change
- Multi-factor authentication policies
- Emergency override protocols
- Logging and monitoring access events
- Automated access certification
- Cross-system access mapping
- Access review frequency benchmarks
Module 5. Control A.9: Data Privacy and Protection
Align AI processing with GDPR and ISO 42001 A.9 controls for lawful basis, data minimization, and purpose limitation in HR systems.
12 chapters in this module
- Lawful basis for AI in recruitment
- Purpose limitation in performance models
- Data minimization in sentiment analysis
- Consent mechanisms for employee monitoring
- Rights fulfillment automation
- DPIA integration with ISO 42001
- Data subject access request handling
- Privacy by design in AI workflows
- Anonymization techniques for HR data
- Pseudonymization in analytics pipelines
- Retention schedule alignment
- Cross-border data flow controls
Module 6. Control A.5: Organizational Governance
Establish leadership commitment, policy frameworks, and oversight mechanisms for AI governance under ISO 42001 A.5.
12 chapters in this module
- Executive sponsorship documentation
- AI governance policy drafting
- Risk appetite statement integration
- Board-level reporting cadence
- Internal audit coordination
- Compliance monitoring frameworks
- Third-party assurance alignment
- Continuous improvement planning
- Incident escalation procedures
- Training and awareness programs
- Policy review cycles
- Regulatory change tracking
Module 7. Control A.10: Record Retention and Audit Trails
Design comprehensive logging, monitoring, and audit trail systems for HR AI under ISO 42001 A.10.1 to A.10.4.
12 chapters in this module
- Event logging for AI decisions
- Retention periods for model outputs
- Chain of custody for audit data
- Immutable logging requirements
- Log access controls
- Automated log analysis
- Incident reconstruction techniques
- Regulator-facing log formats
- Timestamp accuracy standards
- External audit access protocols
- Log storage security
- Tamper-evident design
Module 8. Control A.11: Transparency and Explainability
Operationalize A.11.1 to A.11.7 with clear communication, documentation, and employee-facing explanations for AI-influenced decisions.
12 chapters in this module
- Employee notice requirements
- Right to explanation frameworks
- Model documentation standards
- Technical transparency reports
- Plain-language summaries
- AI decision logging for review
- Auditability of automated outcomes
- Consistency with collective agreements
- Language accessibility
- Multilingual documentation
- Versioned disclosure templates
- Feedback mechanisms for AI outcomes
Module 9. Control A.12: Robustness and Reliability
Ensure HR AI systems perform accurately and consistently under ISO 42001 A.12.1 to A.12.8 with monitoring, testing, and fallback design.
12 chapters in this module
- Accuracy benchmarks for hiring AI
- Performance drift detection
- Model validation cycles
- Fallback mechanisms for AI failures
- Stress testing scenarios
- Input validation for HR data
- Bias testing protocols
- Drift detection thresholds
- Model refresh triggers
- Redundancy in critical decisions
- System performance monitoring
- Error rate tolerance levels
Module 10. Control A.13: Accountability and Redress
Implement oversight, appeal, and accountability processes under ISO 42001 A.13.1 to A.13.6 for employee-facing AI decisions.
12 chapters in this module
- Appeal process design
- Human review in AI outcomes
- Escalation path documentation
- Redress eligibility criteria
- Timeliness of appeals
- Recordkeeping for dispute resolution
- Oversight committee structure
- External ombuds alignment
- Remediation tracking
- Bias investigation protocols
- Complaint categorization
- Trend analysis for recurring issues
Module 11. Control A.14: Continuous Monitoring and Improvement
Apply ISO 42001 A.14.1 to A.14.7 with ongoing performance tracking, feedback loops, and improvement cycles for HR AI systems.
12 chapters in this module
- Key performance indicators
- Employee feedback collection
- Incident trend analysis
- Control effectiveness reviews
- Adaptive control tuning
- Regulatory change adaptation
- Stakeholder satisfaction surveys
- System health dashboards
- Automated alerting
- Root cause analysis methods
- Corrective action tracking
- Annual review planning
Module 12. Integrated Implementation Roadmap
Consolidate all controls into a unified, defensible implementation playbook with stakeholder alignment, timelines, and success metrics.
12 chapters in this module
- Stakeholder alignment planning
- Control dependency mapping
- Implementation sequencing
- Resource requirements
- Milestones and KPIs
- Pilot program design
- Change management planning
- Training rollout schedule
- Documentation repository
- Internal audit preparation
- Certification readiness checklist
- Post-certification sustainment
How this maps to your situation
- HR AI governance policy development
- Cross-functional AI oversight
- Internal audit preparation
- Regulatory alignment and reporting
Before vs. after
Before
AI governance decisions questioned due to lack of documented rationale or precedent
After
Confident, source-backed reasoning for every control, with clear audit trails and stakeholder 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: Approximately 3 hours per module, designed for busy practitioners , total commitment around 36 hours over 6, 8 weeks.
If nothing changes
Without defensible justification, even well-designed governance frameworks lose traction in cross-functional review, leading to delays, rework, or abandonment.
How this compares to the alternatives
Unlike generic AI ethics courses, this program delivers ISO 42001-specific control fluency with HR context, precedent sources, and implementation logic , not theory.
Frequently asked
Is this course focused on technical AI implementation?
No. It's designed for compliance and HR leaders, focusing on governance, control justification, and policy , not coding or model tuning.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me prepare for ISO 42001 certification?
Yes. The content aligns directly with certification requirements and includes artefacts and checklists used by successful assesses.
$199 one-time. Approximately 3 hours per module, designed for busy practitioners , total commitment around 36 hours over 6, 8 weeks..
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