AI for HR: Practical Applications, Ethics, and Implementation Training Course

Introduction to AI in HR

• Overview of AI capabilities relevant to HR, including LLMs, automation, and analytics
• Common HR applications and areas of impact
• Assessing organisational readiness and defining the scope for AI pilots

Responsible AI, Privacy, and Compliance in HR

• Data privacy principles and the handling of personal data within HR contexts
• Addressing bias, fairness, and legal implications in recruitment and performance management
• Governance frameworks, approval processes, and documentation standards for HR AI projects

Practical Prompting and Generative Workflows for HR

• Creating prompts for job descriptions, candidate screening summaries, and offer letters
• Templates and prompt structures for HR communications and policy drafting
• Refining prompts, validating outputs, and implementing human-in-the-loop verification

Automation and Process Design

• Developing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS
• Automating repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists
• Integration approaches with APIs and low-code platforms (overview)

People Analytics and AI-Driven Decision Support

• Leveraging AI for workforce analytics, including attrition forecasting, skills gap analysis, and learning recommendations
• Interpreting model outputs and communicating insights effectively to stakeholders
• Establishing KPIs and measuring ROI for AI initiatives within HR

Change Management and Implementation Roadmap

• Building cross-functional teams and strategies for stakeholder engagement
• Planning pilots, managing rollout phases, and upskilling HR teams
• Operational considerations including monitoring, maintenance, and continuous improvement

Hands-on Workshop: Designing an AI-Enabled HR Solution

• Group exercise: identifying a target problem, designing a solution, and developing prompts or workflows
• Presentations and peer reviews focusing on ethical and operational feedback
• Next steps and templates for pilot implementation

Wrap-up and Future Steps