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

Introduction to AI in HR

• Overview of AI capabilities applicable to HR: LLMs, automation, and analytics.
• Typical HR use cases and areas of impact.
• Strategies for evaluating organizational readiness and defining the scope of AI pilots.

Responsible AI, Privacy, and Compliance in HR

• Essentials of data privacy and the handling of personal data within HR.
• Addressing bias, fairness, and legal nuances in recruitment and performance evaluation.
• Establishing governance, approval processes, and documentation standards for HR AI projects.

Practical Prompting and Generative Workflows for HR

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

Automation and Process Design

• Creating end-to-end workflows that integrate LLMs, spreadsheets, and HRIS systems.
• Automating routine tasks such as interview scheduling, FAQ handling, and onboarding checklists.
• Introduction to integration patterns with APIs and low-code tools.

People Analytics and AI-Driven Decision Support

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

Change Management and Implementation Roadmap

• Forming cross-functional teams and developing stakeholder engagement strategies.
• Planning pilot programs, defining rollout phases, and training HR teams.
• Operational factors such as monitoring, maintenance, and continuous improvement.

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

• Group exercise: Identifying a target problem, designing a solution, and creating prompts and workflows.
• Presentations and peer reviews with a focus on ethical and operational feedback.
• Next steps and provision of templates for pilot implementation.

Conclusion and Future Steps