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Duration 14 hours
Course Outline
Introduction to AI in Human Resources
- Overview of AI capabilities relevant to HR, including LLMs, automation, and analytics.
- Identification of common HR use cases and areas of potential impact.
- Strategies for assessing organizational readiness and defining the scope for AI pilots.
Responsible AI, Privacy, and Compliance in HR
- Core principles of data privacy and the responsible handling of personal data in HR.
- Navigating bias, fairness, and legal nuances in recruitment and performance evaluations.
- Establishing governance frameworks, approval processes, and documentation standards for HR AI projects.
Practical Prompting and Generative Workflows for HR
- Creating prompts for drafting job descriptions, candidate screening summaries, and offer letters.
- Utilizing templates and prompt patterns for HR communications and policy drafting.
- Techniques for prompt iteration, validation, and implementing human-in-the-loop oversight.
Automation and Process Design
- Designing comprehensive workflows that integrate LLMs, spreadsheets, and HRIS systems.
- Automating repetitive tasks such as interview scheduling, FAQ responses, and onboarding checklists.
- An overview of integration patterns using APIs and low-code tools.
People Analytics and AI-Driven Decision Support
- Leveraging AI for workforce analytics, including attrition prediction, skills gap analysis, and personalized learning recommendations.
- Interpreting model outputs and effectively communicating insights to stakeholders.
- Setting KPIs and calculating ROI for AI initiatives within HR.
Change Management and Implementation Roadmap
- Forming cross-functional teams and developing strategies for stakeholder engagement.
- Planning pilot phases, rollout schedules, and training programs for HR teams.
- Addressing operational aspects such as monitoring, maintenance, and continuous improvement.
Hands-on Workshop: Designing an AI-Enabled HR Use Case
- Group activity: Selecting a specific problem, designing a solution, and creating corresponding prompts and workflows.
- Presenting solutions for peer review, incorporating ethical and operational feedback.
- Defining next steps and providing templates for pilot implementation.
Conclusion and Future Directions
Requirements
- Fundamental knowledge of HR processes and industry terminology.
- Proficiency in using spreadsheets and web-based applications.
- A genuine interest in the practical and ethically conscious application of AI in HR.
Target Audience
- HR Managers and HR Business Partners.
- Specialists in Talent Acquisition and People Operations.
- HR Analysts and professionals focused on People Analytics.
