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

Introduction to AI in Human Resources

• Overview of AI capabilities applicable to HR, including LLMs, automation, and analytics
• Identification of common HR use cases and their potential areas of impact
• Assessing organizational readiness and defining the scope for AI pilot projects

Responsible AI, Privacy, and Regulatory Compliance in HR

• Fundamental data privacy principles and the management of personal data within HR
• Addressing bias, ensuring fairness, and navigating legal considerations in recruitment and performance reviews
• Establishing governance structures, approval processes, and documentation standards for HR AI projects

Practical Prompt Engineering and Generative Workflows for HR

• Developing prompts for drafting job descriptions, screening candidate summaries, and generating offer letters
• Utilizing templates and prompt patterns for HR communications and policy drafting
• Iterating on prompts, validating outputs, and implementing human-in-the-loop verification checks

Automation and Workflow Design

• Architecting end-to-end workflows that integrate LLMs, spreadsheets, and HR Information Systems (HRIS)
• Streamlining repetitive tasks such as interview scheduling, answering FAQs, and managing onboarding checklists
• Exploring integration patterns with APIs and low-code tools

People Analytics and AI-Enhanced Decision Making

• Leveraging AI for workforce analytics, including attrition prediction, skills gap analysis, and personalized learning recommendations
• Interpreting model outputs and effectively communicating insights to stakeholders
• Establishing Key Performance Indicators (KPIs) and measuring Return on Investment (ROI) for HR AI initiatives

Change Management and Implementation Roadmap

• Forming cross-functional teams and developing stakeholder engagement strategies
• Planning pilot phases, rollout stages, and training programs for HR teams
• Addressing operational aspects such as system monitoring, maintenance, and continuous improvement

Practical Workshop: Designing an AI-Driven HR Solution

• Group exercise: Selecting a specific business problem, designing a solution, and creating necessary prompts and workflows
• Presenting solutions and conducting peer reviews with feedback on ethical and operational dimensions
• Discussing next steps and providing templates for pilot implementation

Summary and Future Directions