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AI Governance for HR Leaders

$199.00
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A tailored course, built for your situation

AI Governance for HR Leaders

Align machine learning systems with human values, compliance, and ethical standards, without technical overhead.

$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 is reshaping hiring, performance reviews, and promotions, yet most HR leaders lack the governance tools to ensure fairness, consistency, and legal defensibility.

The situation this course is for

You're responsible for culture, compliance, and talent equity, but AI systems make high-stakes people decisions behind closed doors. Without clear governance, you risk bias exposure, employee distrust, and regulatory scrutiny. Traditional HR frameworks don’t address algorithmic accountability. You need a structured way to audit, guide, and document AI use across recruitment, compensation, and retention, without relying on data science teams.

Who this is for

Strategic HR executives in mid-to-large organizations who are accountable for ethical workforce practices and must ensure AI tools align with EEOC, OFCCP, and internal DEI standards.

Who this is not for

Technical AI developers, data scientists, or compliance officers focused solely on financial or operational risk systems.

What you walk away with

  • Establish clear AI governance policies specific to HR functions
  • Audit existing AI tools for bias, transparency, and compliance gaps
  • Lead cross-functional alignment between legal, HR, and IT on AI use cases
  • Document ethical decision trails for regulatory readiness
  • Build internal trust by making AI-augmented people decisions explainable and fair

The 12 modules (with all 144 chapters)

Module 1. Why HR Must Own AI Governance
AI is no longer just an IT issue. This module establishes why HR leaders are now central to ethical AI oversight, with real-world cases where poor governance led to lawsuits, attrition, and brand damage. Learn how to position yourself as the steward of people-first AI.
12 chapters in this module
  1. The rise of AI in HR
  2. When algorithms harm culture
  3. Legal risks of silent bias
  4. HR’s unique governance role
  5. Case: Resume screening bias
  6. Case: Promotion algorithm
  7. Regulatory red flags
  8. Internal trust erosion
  9. Leadership accountability
  10. From passive to proactive
  11. Defining your mandate
  12. First steps checklist
Module 2. Mapping AI Across the Employee Lifecycle
Identify where AI touches hiring, onboarding, performance, compensation, and offboarding. This module helps you audit current tools, uncover hidden automation, and classify risk levels by function and impact.
12 chapters in this module
  1. Stages of employee journey
  2. AI in recruitment tools
  3. Onboarding personalization
  4. Performance scoring models
  5. Compensation algorithms
  6. Retention risk predictors
  7. Promotion recommendation
  8. Exit prediction systems
  9. Vendor disclosure gaps
  10. Shadow AI in HR tech
  11. Risk tiering framework
  12. Lifecycle audit template
Module 3. Core Principles of Ethical AI
Build a foundation in fairness, accountability, transparency, and inclusion. This module translates abstract ethics into practical HR standards, with checklists for evaluating tools and guiding vendor conversations.
12 chapters in this module
  1. Fairness vs accuracy
  2. Bias by design flaw
  3. Transparency necessity
  4. Explainability basics
  5. Inclusion by default
  6. Human oversight rule
  7. Consent in data use
  8. Right to contest
  9. Ethical escalation path
  10. Documenting decisions
  11. Vendor ethics review
  12. Principles checklist
Module 4. Legal and Regulatory Alignment
Navigate EEOC, OFCCP, GDPR, and emerging state laws. This module breaks down compliance requirements for AI-driven HR decisions and provides templates for audit readiness.
12 chapters in this module
  1. EEOC guidance update
  2. OFCCP audit triggers
  3. GDPR employee rights
  4. State law variations
  5. Adverse impact testing
  6. Recordkeeping rules
  7. Algorithmic disclosure
  8. Right to opt out
  9. Compliance playbook
  10. Legal team coordination
  11. Audit trail setup
  12. Policy documentation
Module 5. Building Your AI Governance Framework
Create a customized governance model with clear roles, escalation paths, and review cycles. This module walks you through structuring oversight that fits your organization’s size and risk profile.
12 chapters in this module
  1. Governance committee setup
  2. HR leadership role
  3. Cross-functional teams
  4. Escalation protocols
  5. Review cycle timing
  6. Decision logging system
  7. Change approval flow
  8. Incident response plan
  9. Stakeholder mapping
  10. Policy version control
  11. Training requirements
  12. Framework template
Module 6. Auditing AI Tools for Bias and Risk
Conduct systematic evaluations of existing and proposed AI tools. This module provides a step-by-step audit process, including data access requests, bias testing, and vendor questioning techniques.
12 chapters in this module
  1. Audit initiation trigger
  2. Vendor data request
  3. Bias testing methods
  4. Disaggregated outcomes
  5. Error rate analysis
  6. Impact assessment
  7. Third-party validation
  8. Internal sampling
  9. Employee feedback loop
  10. Red team simulation
  11. Audit report format
  12. Follow-up timeline
Module 7. Vendor Management and Contracting
Negotiate AI contracts with enforceable ethics clauses. This module gives you the language and leverage to demand transparency, audit rights, and performance guarantees from vendors.
12 chapters in this module
  1. Pre-contract checklist
  2. Transparency requirements
  3. Audit rights clause
  4. Bias mitigation terms
  5. Data ownership clarity
  6. Performance guarantees
  7. Penalty provisions
  8. Exit strategy terms
  9. Renewal conditions
  10. Liability allocation
  11. Escrow access
  12. Contract template
Module 8. Internal Communication and Change Management
Prepare employees and managers for AI-augmented decisions. This module covers how to build trust, explain system use, and handle concerns without creating fear or resistance.
12 chapters in this module
  1. Announcing AI use
  2. Transparency level setting
  3. Manager talking points
  4. Employee Q&A prep
  5. Myth busting guide
  6. Feedback channels
  7. Trust-building actions
  8. Pilot communication plan
  9. Success story sharing
  10. Crisis response plan
  11. Ongoing education
  12. Comms calendar
Module 9. Documentation and Audit Readiness
Create defensible records of AI decisions and governance actions. This module ensures you can demonstrate due diligence during investigations or audits.
12 chapters in this module
  1. Decision rationale log
  2. Meeting minutes standard
  3. Policy version archive
  4. Audit trail access
  5. Vendor correspondence
  6. Incident documentation
  7. Training completion
  8. Employee acknowledgments
  9. System change log
  10. Risk assessment archive
  11. Legal hold process
  12. Readiness checklist
Module 10. Scaling Governance Across Locations
Adapt governance for global or multi-state operations. This module addresses jurisdictional complexity and helps you balance consistency with local compliance.
12 chapters in this module
  1. Jurisdiction mapping
  2. Local law integration
  3. Central vs local control
  4. Language considerations
  5. Cultural sensitivity
  6. Data transfer rules
  7. Regional champions
  8. Compliance variance log
  9. Global policy core
  10. Local addendum process
  11. Coordination rhythm
  12. Scaling checklist
Module 11. Measuring Effectiveness and ROI
Track the impact of your governance efforts on risk reduction, employee trust, and operational efficiency. This module introduces KPIs and reporting frameworks for leadership.
12 chapters in this module
  1. Risk reduction metrics
  2. Employee sentiment tracking
  3. Audit pass rate
  4. Incident frequency
  5. Time to resolve issues
  6. Cost of non-compliance
  7. Manager confidence score
  8. Trust index survey
  9. ROI calculation model
  10. Benchmarking data
  11. Leadership reporting
  12. Improvement cycle
Module 12. Future-Proofing Your Strategy
Stay ahead of emerging AI capabilities and regulations. This module prepares you to evolve your governance approach as technology and expectations shift.
12 chapters in this module
  1. Regulatory horizon scan
  2. Tech trend monitoring
  3. Stakeholder expectation shifts
  4. Scenario planning
  5. Policy refresh cycle
  6. Innovation governance
  7. Ethics foresight
  8. Board reporting rhythm
  9. Continuous learning
  10. External benchmarking
  11. Adaptation triggers
  12. Next-gen readiness

How this maps to your situation

  • You're launching AI tools and need governance fast
  • You've inherited AI systems with no oversight
  • Regulatory scrutiny is increasing
  • Employees are questioning AI decisions

Before vs. after

Before
AI systems make people decisions without clear oversight, creating compliance risk, employee distrust, and leadership exposure.
After
You lead with a structured, defensible governance model that ensures fairness, transparency, and alignment with organizational values.

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 executives. Complete at your own pace.

If nothing changes
Without formal governance, your organization faces rising legal exposure, employee backlash, and reputational damage when AI systems make biased or unexplainable decisions.

How this compares to the alternatives

Unlike generic AI ethics courses, this program is built specifically for HR leaders and includes actionable templates, audit frameworks, and vendor negotiation tools you can apply immediately.

Frequently asked

Is this course technical?
No. It’s designed for HR and people leaders without data science or engineering backgrounds.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me with audits or investigations?
Yes. Every module includes documentation templates and audit-ready frameworks.
$199 one-time. Approximately 3 hours per module, designed for busy executives. Complete at your own pace..

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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