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

Introduction to AI in HR

• Overview of AI capabilities relevant to HR: LLMs, automation, and analytics.
• Common HR use cases and areas of impact.
• Assessing readiness and defining scope for AI pilots.

Responsible AI, Privacy, and Compliance in HR

• Fundamentals of data privacy and handling personal data within HR.
• Bias, fairness, and legal considerations in recruitment and performance evaluations.
• Governance, approvals, and documentation requirements for HR AI projects.

Practical Prompting and Generative Workflows for HR

• Crafting prompts for job descriptions, candidate screening summaries, and offer letters.
• Templates and prompt patterns for HR communications and policy drafts.
• Prompt iteration, validation, and human-in-the-loop verification.

Automation and Process Design

• Designing end-to-end workflows that integrate LLMs, spreadsheets, and HRIS.
• Automating repetitive tasks: interview scheduling, FAQ responses, and onboarding checklists.
• Integration patterns with APIs and low-code tools (overview).

People Analytics and AI-Driven Decision Support

• Using AI for workforce analytics: attrition prediction, skills gap analysis, and learning recommendations.
• Interpreting model outputs and communicating insights to stakeholders.
• Setting KPIs and measuring ROI for AI initiatives in HR.

Change Management and Implementation Roadmap

• Building cross-functional teams and developing stakeholder engagement strategies.
• Pilot planning, rollout phases, and training for HR teams.
• Operational considerations: monitoring, maintenance, and continuous improvement.

Hands-on Workshop: Design an AI-Enabled HR Use Case

• Group activity: select a target problem, design a solution, and create prompts/workflows.
• Presentations and peer review with ethical and operational feedback.
• Next steps and templates for pilot implementation.

Summary and Next Steps