A tailored course, built for your situation
Mastering ISO 42001 for Talent Acquisition and Workforce Risk Strategy
Build a recognized internal standard for AI governance readiness in talent systems
$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.
AI governance in HR tech is still a gray zone, but scrutiny is rising
The situation this course is for
Talent leaders are being asked about AI bias, transparency, and control in recruitment tools, but most lack a structured way to respond. Without a recognized framework, answers stay reactive and fragmented.
Who this is for
Talent Acquisition specialist at a risk-sensitive firm, operating at the edge of HR and compliance, looking to lead rather than react on emerging governance topics
Who this is not for
Leaders who want a generic AI overview or are solely focused on technical implementation of AI tools
What you walk away with
- Position yourself as the internal reference on AI governance in talent systems
- Produce a documented ISO 42001-aligned assessment workflow for HR tech vendors
- Lead cross-functional conversations with compliance, legal, and security teams
- Anticipate audit questions about AI use in hiring and have evidence-ready responses
- Turn abstract AI risk concerns into structured, repeatable controls
The 12 modules (with all 144 chapters)
Module 1. Why ISO 42001 Matters in Non-Technical Functions
Introduces the relevance of AI management systems to HR, talent, and workforce planning roles. Shows how non-engineers are leading adoption by framing AI governance as a trust and consistency issue, not just a technical one.
12 chapters in this module
- The shift from AI experimentation to formal oversight
- How talent teams are shaping AI governance early
- Defining 'responsible AI' in hiring and promotion
- Where ISO 42001 fits in the AI standards landscape
- Real-world examples of AI use in recruitment
- Legal and reputational risks in unmanaged AI tools
- How auditors evaluate AI in people systems
- Linking AI governance to workforce resilience goals
- Why 'bias audits' alone are not enough
- The role of documentation in proving control
- How talent leaders add value beyond engineers
- First steps to take today without a formal mandate
Module 2. Mapping Talent Systems to AI Governance Domains
Helps learners identify which parts of the talent lifecycle involve AI, from job description tools to onboarding platforms. Focuses on vendor transparency and internal data flows.
12 chapters in this module
- Identifying AI-powered features in HR software
- Vendor dashboards that claim 'AI-driven matching'
- Resume screening algorithms and explainability
- Tone analysis in interview feedback tools
- Predictive attrition models in retention programs
- AI in diversity sourcing and outreach
- Automated reference-checking platforms
- Chatbots used in candidate engagement
- Internal mobility recommendation engines
- Learning platforms with personalized pathways
- Documenting AI use across the hiring funnel
- Creating an inventory of active AI tools in HR
Module 3. Core Principles of ISO 42001 in Practice
Breaks down the standard’s seven principles with talent-specific interpretations, showing how to apply them without technical fluency.
12 chapters in this module
- Establishing AI policy within talent strategy
- Defining roles and responsibilities for oversight
- Ensuring human oversight in hiring decisions
- Transparency with candidates about AI use
- Data quality standards for training sets
- Managing conflicts of interest in vendor selection
- Auditing vendor claims about fairness
- Documenting rationale for AI tool adoption
- Updating policies as tools evolve
- Aligning with firm-wide risk tolerance
- Involving legal and compliance early
- Scaling practices across geographies
Module 4. Assessing HR Tech Vendors Against ISO 42001
Provides a structured method for evaluating third-party tools using ISO 42001 criteria, including sample questions and red flags.
12 chapters in this module
- Requesting AI transparency documentation
- Evaluating vendor SOC 2 and ISO 27001 reports
- Asking about model training data sources
- Understanding how 'bias' is defined and tested
- Reviewing audit logs and access controls
- Assessing human-in-the-loop requirements
- Checking for explainability features
- Reviewing incident response plans
- Validating claims of 'ethical AI'
- Negotiating contract terms for AI assurance
- Scoring vendors using a weighted checklist
- Documenting assessment outcomes
Module 5. Building an Internal AI Governance Workflow
Guides learners to create a repeatable process for reviewing new tools or updating existing ones, aligned with ISO 42001 controls.
12 chapters in this module
- Designing a cross-functional review committee
- Defining entry points for AI tool review
- Creating a standard intake form for requests
- Assigning roles: who reviews what
- Developing a scoring rubric based on risk
- Integrating with existing procurement workflows
- Setting thresholds for escalation
- Documenting decisions for audit purposes
- Updating the workflow as standards evolve
- Training stakeholders on the process
- Tracking implementation across teams
- Measuring consistency over time
Module 6. Documenting AI Use in Talent Systems
Covers what to document, where to store it, and how to keep it useful for audits, leadership questions, and vendor reviews.
12 chapters in this module
- Creating an AI register for HR tools
- Capturing vendor self-assessments
- Recording internal approval decisions
- Maintaining version history of policies
- Storing evidence of human oversight
- Linking documentation to ISO 42001 clauses
- Using templates to standardize records
- Making documents accessible to reviewers
- Redacting sensitive vendor information
- Updating documentation quarterly
- Aligning with records retention policies
- Preparing for internal and external requests
Module 7. Communicating AI Governance to Leadership
Teaches how to translate technical standards into business impact for executives, compliance teams, and auditors.
12 chapters in this module
- Framing AI governance as risk reduction
- Translating ISO 42001 into executive terms
- Highlighting operational consistency benefits
- Quantifying time saved in vendor reviews
- Reducing exposure to reputational harm
- Positioning talent as a governance leader
- Using real examples from peer firms
- Anticipating leadership questions
- Preparing concise briefing materials
- Building credibility across functions
- Sharing wins and updates proactively
- Positioning your role in the narrative
Module 8. Leading Cross-Functional AI Assessments
Prepares learners to lead or contribute to joint reviews with compliance, legal, and IT teams using a shared framework.
12 chapters in this module
- Identifying natural allies in other functions
- Aligning on common definitions and goals
- Coordinating review timelines
- Developing joint evaluation criteria
- Running effective cross-functional meetings
- Resolving disagreements on risk levels
- Escalating issues with clear evidence
- Documenting agreements and actions
- Sharing ownership of outcomes
- Building trust through consistency
- Measuring collaboration effectiveness
- Improving inter-team workflows
Module 9. Audits and Evidence Requests: What to Expect
Prepares learners for internal and external scrutiny, showing how to respond confidently using documented processes.
12 chapters in this module
- Types of audits that include AI governance
- Common questions from compliance teams
- Preparing evidence packets in advance
- How to answer 'Do you use AI?' responsibly
- Demonstrating due diligence in vendor choices
- Showing consistency in decision-making
- Responding to requests for model details
- Handling requests for bias testing data
- Maintaining confidentiality appropriately
- Using ISO 42001 as a response framework
- Avoiding overcommitment in answers
- Knowing when to escalate
Module 10. Managing AI Governance Through Organizational Change
Covers how to sustain practices across leadership shifts, reorganizations, and M&A activity.
12 chapters in this module
- Documenting workflows to survive turnover
- Onboarding new team members to AI standards
- Updating practices after acquisitions
- Integrating new HR systems securely
- Harmonizing practices across legacy systems
- Maintaining continuity during restructuring
- Preserving institutional knowledge
- Updating policies after leadership changes
- Tracking changes in vendor offerings
- Aligning with evolving firm strategy
- Measuring maturity over time
- Reporting progress to stakeholders
Module 11. Future-Proofing Your AI Governance Approach
Helps learners stay ahead of regulatory changes, new tools, and emerging expectations without overextending.
12 chapters in this module
- Tracking global AI regulation developments
- Monitoring updates to ISO 42001 and related standards
- Subscribing to trusted update sources
- Building a personal learning plan
- Identifying low-effort, high-impact improvements
- Scaling practices across more tools
- Automating routine documentation tasks
- Leveraging peer networks for insights
- Sharing lessons learned internally
- Contributing to firm-wide knowledge
- Recognizing when to expand the team
- Planning for long-term sustainability
Module 12. Becoming the Go-To Source at Your Firm
Covers how to position yourself as the internal expert through visibility, consistency, and contribution.
12 chapters in this module
- Volunteering to lead pilot assessments
- Sharing templates and workflows freely
- Offering to train others informally
- Documenting and sharing lessons
- Presenting updates to leadership
- Building a reputation for reliability
- Being proactive in cross-functional meetings
- Citing ISO 42001 in recommendations
- Creating feedback loops for improvement
- Mentoring junior team members
- Tracking recognition and impact
- Setting goals for continued leadership
How this maps to your situation
- Talent Acquisition specialist facing growing AI tool adoption
- Workforce risk concerns amplifying need for oversight
- Need for documented, defensible decision-making
- Opportunity to lead from a non-technical function
Before vs. after
Before
Uncertain how to respond when asked about AI use in hiring tools, relying on ad-hoc reviews and vendor claims
After
Confidently leads ISO 42001-aligned assessments, known as the internal reference for AI governance in talent systems
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 90 minutes per week over six weeks, with self-paced access and downloadable resources for reference.
If nothing changes
Without a structured approach, AI governance in talent remains reactive, exposing the firm to reputational risk and audit findings while missing the chance to position talent as a leader in responsible innovation.
How this compares to the alternatives
Generic AI ethics courses focus on principles but lack actionable steps. Internal training often skips vendor assessment. This course delivers a structured, ISO 42001-aligned workflow tailored to talent leaders.
Frequently asked
Do I need a technical background to benefit from this course?
No. The course is designed for non-technical practitioners. It focuses on governance, oversight, and documentation , not coding or data science.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to tools we already use?
Yes. You’ll learn how to retroactively assess existing platforms and document their alignment with ISO 42001 principles.
$199 one-time. Approximately 90 minutes per week over six weeks, with self-paced access and downloadable resources for reference..
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