A tailored course, built for your situation
Influence across more business lines with ISO 42001
Turn HR strategy expertise into organisation-wide impact through AI management systems
Who this is for
Senior HR practitioner in a global services firm leading strategic talent initiatives with exposure to AI-driven recruitment and ethical deployment frameworks
Who this is not for
Individuals seeking introductory AI or HR content, or those without influence across teams or a mandate to shape cross-functional policy
What you walk away with
- Lead ISO 42001 policy discussions with confidence across non-HR functions
- Shape AI governance boundaries in hiring and performance systems
- Drive alignment between legal, compliance, and engineering teams using standardised AI management language
- Anticipate escalation points in AI-enabled HR workflows before they arise
- Become the go-to advisor for ISO 42001 interpretation beyond HR
The 12 modules (with all 144 chapters)
- Identify HR-relevant clauses in ISO 42001
- Map hiring tools to AI system documentation requirements
- Link employee monitoring systems to transparency obligations
- Assess contractor AI use in talent sourcing
- Define risk thresholds for algorithmic screening
- Document decision rights across functions
- Integrate ethical hiring guardrails
- Evaluate bias detection mechanisms
- Align offboarding processes with data rights
- Track model lifecycle in HR tech stack
- Establish version control for AI-augmented decisions
- Create cross-functional audit trail
- Initiate AI governance task forces
- Frame HR as a governance partner
- Define joint KPIs with legal and compliance
- Host alignment workshops with engineering
- Document shared definitions of harm
- Establish escalation protocols
- Develop feedback loops across functions
- Measure cross-team adoption rates
- Track policy awareness in non-HR units
- Assign roles in AI management framework
- Map decision rights across geographies
- Resolve ownership conflicts early
- Compare regional AI recruitment laws
- Balance global standards with local needs
- Adapt language for cultural sensitivity
- Standardise incident reporting paths
- Localise bias testing frequency
- Design multilingual documentation
- Train regional teams on ISO 42001 basics
- Audit translation accuracy
- Align performance metrics across borders
- Document jurisdictional exceptions
- Manage consistency without overreach
- Preserve agility in local units
- Evaluate AI sourcing platforms for compliance
- Assess algorithmic fairness in tools
- Negotiate transparency terms with vendors
- Review training data provenance
- Verify explainability features
- Include audit rights in contracts
- Demand documentation standards
- Test vendor claims in pilot phases
- Monitor model drift post-deployment
- Enforce update protocols
- Terminate for noncompliance
- Rotate vendors based on performance
- Audit resume-screening algorithms
- Define human review thresholds
- Log automated shortlisting decisions
- Disclose AI use to candidates
- Enable appeal pathways
- Track demographic impact
- Validate against historical data
- Test for proxy discrimination
- Update models with feedback
- Document rationale for rejections
- Set monitoring frequency
- Report findings to governance body
- Map performance tools to risk profiles
- Ensure human override capability
- Document algorithmic inputs
- Calibrate review thresholds
- Audit for bias in ratings
- Balance automation with manager judgment
- Train leaders on AI limitations
- Provide employee access to scoring logic
- Enable challenge mechanisms
- Review model impact quarterly
- Update assumptions after feedback
- Report anomalies to governance team
- Identify internal audit requirements
- Build standard operating procedures
- Document training completion
- Preserve decision logs
- Secure access to algorithmic outputs
- Verify third-party attestations
- Conduct mock audits
- Address findings proactively
- Streamline evidence collection
- Improve response timelines
- Standardise reporting formats
- Demonstrate continuous improvement
- Explain AI in onboarding materials
- Create transparency portals
- Publish AI use principles
- Host Q&A sessions
- Train managers as communicators
- Address employee concerns
- Clarify human oversight
- Share audit outcomes
- Update policies after incidents
- Celebrate responsible use
- Measure comprehension levels
- Adjust messaging based on feedback
- Set baseline for AI risk exposure
- Track incident frequency
- Measure employee satisfaction
- Assess fairness metrics
- Evaluate audit outcomes
- Monitor vendor compliance
- Calculate resolution time
- Audit policy adherence
- Benchmark against peer firms
- Report trends to leadership
- Adjust thresholds annually
- Publish performance summaries
- Document pilot success factors
- Identify transferable components
- Adapt playbooks for new units
- Train internal champions
- Secure early wins in adjacent teams
- Adjust for domain differences
- Replicate monitoring frameworks
- Standardise implementation timelines
- Share lessons learned
- Scale governance team capacity
- Maintain quality at volume
- Institutionalise best practices
- Track regulatory watchlists
- Map emerging rules to current gaps
- Simulate compliance scenarios
- Engage policymakers proactively
- Test readiness for new mandates
- Update policies ahead of deadlines
- Participate in industry consortia
- Share insights with legal team
- Advocate for sensible standards
- Prepare for cross-border alignment
- Monitor enforcement patterns
- Adjust strategy based on signals
- Rotate governance membership
- Update frameworks periodically
- Celebrate compliance milestones
- Recognise contributor efforts
- Refresh training regularly
- Review charter annually
- Solicit stakeholder feedback
- Publish progress reports
- Maintain executive sponsorship
- Embed lessons in onboarding
- Preserve artefacts beyond turnover
- Evolve with technological change
How this maps to your situation
- When launching a new AI-powered hiring tool
- Before an internal audit cycle
- During cross-functional AI policy alignment
- After an AI-related incident or near-miss
Before vs. after
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, with self-paced access and optional deep-dive paths for high-impact areas.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to HR leaders driving AI governance adoption, with specific tools for influencing non-HR functions and embedding ISO 42001 into talent systems.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.