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

Introduction to AI in Human Resources

• An overview of AI capabilities relevant to HR, including LLMs, automation, and data analytics
• Identification of common HR use cases and their impact on operations
• Strategies for assessing organizational readiness and defining the scope for AI pilots

Responsible AI, Data Privacy, and Compliance in HR

• Core principles of data privacy and the proper handling of personal information in HR contexts
• Addressing bias, ensuring fairness, and navigating legal requirements in recruitment and performance assessments
• Establishing governance frameworks, approval processes, and documentation standards for HR AI projects

Applied Prompt Engineering and Generative Workflows for HR

• Developing prompts for creating job descriptions, candidate screening summaries, and offer letters
• Utilizing templates and prompt patterns for HR communications and policy drafting
• Techniques for prompt refinement, validation, and implementing human-in-the-loop review processes

Automation and Process Architecture

• Architecting end-to-end workflows that combine LLMs, spreadsheets, and HR Information Systems (HRIS)
• Automating repetitive administrative tasks, such as scheduling interviews, managing FAQ responses, and tracking onboarding checklists
• An overview of integration patterns with APIs and low-code development tools

People Analytics and AI-Enhanced Decision Support

• Leveraging AI for workforce analysis, including attrition forecasting, skills gap identification, and personalized learning recommendations
• Interpreting model outputs and effectively communicating insights to key stakeholders
• Defining KPIs and calculating the Return on Investment (ROI) for AI initiatives within HR

Change Management and Implementation Strategy

• Forming cross-functional teams and developing strategies for stakeholder engagement
• Planning pilot phases, rollout timelines, and training programs for HR teams
• Operational best practices, including monitoring, maintenance, and continuous improvement cycles

Practical Workshop: Developing an AI-Enabled HR Solution

• Group exercise: defining a target problem, designing a solution, and constructing prompts and workflows
• Presenting solutions with peer review focused on ethical and operational feasibility
• Identifying next steps and utilizing templates for pilot implementation

Recap and Future Actions