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Course Outline
Introduction to AI in HR
- Overview of AI capabilities pertinent to HR, including LLMs, automation, and analytics.
- Identification of common HR use cases and key areas of impact.
- Methods for assessing organizational readiness and defining the scope for AI pilots.
Responsible AI, Privacy, and Compliance in HR
- Fundamentals of data privacy and the proper handling of personal data in HR contexts.
- Addressing bias, fairness, and legal obligations in recruitment and performance management.
- Establishing governance frameworks, approval processes, and documentation standards for HR AI projects.
Practical Prompting and Generative Workflows for HR
- Developing prompts for creating job descriptions, summarizing candidate screenings, and drafting offer letters.
- Utilizing templates and prompt structures for HR communications and policy drafting.
- Iterating on prompts, validating outputs, and implementing human-in-the-loop verification.
Automation and Process Design
- Building end-to-end workflows that combine LLMs, spreadsheets, and HRIS systems.
- Automating routine tasks such as interview scheduling, FAQ handling, and onboarding checklists.
- An overview of integration patterns involving APIs and low-code tools.
People Analytics and AI-Driven Decision Support
- Leveraging AI for workforce analytics, including attrition forecasting, skills gap analysis, and personalized learning recommendations.
- Interpreting model results 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 phases, rollout strategies, and training programs for HR teams.
- Operational considerations: monitoring, maintenance, and continuous improvement cycles.
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group exercise: Identify a specific problem, design a solution, and develop corresponding prompts and workflows.
- Presentations and peer reviews incorporating ethical and operational feedback.
- Defining next steps and utilizing templates for pilot implementation.
Summary and Next Steps
Requirements
- Fundamental understanding of HR processes and terminology.
- Proficiency in using spreadsheets and web-based applications.
- A keen interest in the practical and ethically conscious application of AI in HR.
Target Audience
- HR Managers and HR Business Partners.
- Talent Acquisition and People Operations specialists.
- HR Analysts and People Analytics practitioners.
14 Hours
