The ethical application of AI in Strategic Human Resource Management (SHRM) is no longer optional—it is a mandate. As AI-powered HR tools become more prevalent, organizations must ensure transparency, accountability, and fairness in every decision. This course equips HR professionals and leaders with the critical frameworks, methodologies, and tools to identify, assess, and mitigate bias while fostering equitable workplace outcomes through ethical AI governance.
- Foundations of AI ethics in HR technologies
- Understanding algorithmic bias and its implications
- Ethical frameworks for AI deployment in SHRM
- Bias mitigation strategies in recruitment and performance tools
- Transparent and explainable AI in HR systems
- Legal and compliance perspectives (EEOC, GDPR, etc.)
- Fairness auditing in HR data and algorithms
- Inclusive data strategies for HR analytics
- Organizational accountability and AI governance
- Building trust and employee confidence in AI systems
- Define the ethical principles relevant to AI use in HR functions
- Recognize and assess different forms of bias in HR algorithms
- Apply bias mitigation techniques in various HR tech tools
- Evaluate AI systems for transparency, fairness, and accountability
- Design AI governance frameworks aligned with legal and ethical standards
- Facilitate ethical decision-making in AI-powered HR practices
- Communicate AI outcomes to stakeholders in a transparent manner
- Drive an inclusive and ethical digital transformation in HR
HR professionals, SHRM practitioners, diversity and inclusion officers, data ethics officers, compliance managers, talent acquisition specialists, AI product developers in HR tech, and senior decision-makers involved in digital HR transformation.
This course integrates real-world case studies, expert-led discussions, hands-on demos of AI tools, peer collaboration, and ethical scenario simulations. Delegates will explore live examples of HR AI systems, conduct ethical audits, and develop practical frameworks to guide fair and transparent AI implementation.
- Evolution of AI in SHRM and why ethics matter
- Categories and risks of algorithmic bias
- HR-specific ethical dilemmas and impact scenarios
- The cost of unethical AI in HR
- The role of leadership in ethical HR AI
- Key regulatory frameworks impacting HR AI
- Types of bias: historical, sampling, and measurement bias
- Examples of bias in AI-driven recruitment tools
- Fairness definitions: demographic parity, equal opportunity
- Tools for detecting bias in HR datasets
- Ethical implications of predictive analytics in hiring
- Interactive case analysis: algorithm audit
- Pre-processing, in-processing, and post-processing mitigation methods
- Data balancing and ethical feature selection
- Algorithmic transparency and explainability in practice
- Auditing recruitment and performance evaluation platforms
- AI fairness dashboards: practical use
- Workshop: redesigning an HR AI workflow
- SHRM-aligned AI policy development
- Navigating EEOC, GDPR, and AI Act compliance
- Organizational AI ethics committees – design and role
- Risk mapping and stakeholder communication
- Vendor accountability and procurement ethics
- Checklist: building an ethical AI governance framework
- Strategic planning for ethical AI integration
- Communicating AI decisions to affected employees
- Inclusive design and employee feedback loops
- Change management strategies in HR digital transformation
- Group project: ethical AI HR strategy simulation
- Action planning and course wrap-up
Group & Corporate Discounts: Available for companies enrolling multiple participants to help maximize ROI. Individual Discounts: Offered to self-sponsored participants who pay in full and upfront. Registration Process: Corporate nominations must go through the client’s HR or Training department. Self-nominations must be prepaid via the “payment by self” option. Confirmation: All registrations are subject to DIXONTECH’s approval and seat availability. Refunds: Provided in case of course cancellation or no seat availability. Tax Responsibility: Clients are responsible for any local taxes in their country.