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Course Outline
Foundations of AI in Human Resources
- An overview of AI capabilities pertinent to HR, including LLMs, process automation, and advanced analytics
- Exploration of common HR applications and key areas of impact
- Strategies for assessing organizational readiness and defining the scope for AI pilots
Ethics, Privacy, and Regulatory Compliance in HR AI
- Core principles of data privacy and the responsible handling of personal data in HR contexts
- Addressing bias, fairness, and legal implications in recruitment and performance management
- Establishing governance frameworks, approval processes, and documentation standards for HR AI projects
Effective Prompting and Generative Workflows for HR
- Developing precise prompts for creating job descriptions, summarizing candidate screens, and drafting offer letters
- Utilizing templates and prompt structures for HR communications and policy documentation
- Refining prompts through iteration, validation, and implementing human-in-the-loop verification
Process Automation and Workflow Design
- Architecting comprehensive workflows that integrate LLMs, spreadsheets, and HRIS platforms
- Streamlining repetitive activities such as interview scheduling, answering FAQs, and managing onboarding checklists
- An introduction to integration patterns using APIs and low-code tools
People Analytics and AI-Powered Decision Making
- Applying AI to workforce insights, including predicting attrition, analyzing skill gaps, and recommending learning paths
- Interpreting AI model outputs and effectively communicating insights to key stakeholders
- Defining KPIs and calculating the return on investment (ROI) for AI-driven HR initiatives
Change Management and Implementation Strategy
- Forming cross-functional teams and developing stakeholder engagement tactics
- Planning pilot programs, defining rollout phases, and preparing HR teams for adoption
- Operational best practices: monitoring performance, maintenance, and continuous improvement cycles
Practical Workshop: Building an AI-Enhanced HR Solution
- Group exercise: Identify a specific problem, design an AI-based solution, and create corresponding prompts and workflows
- Presentation of solutions with peer review focused on ethical and operational viability
- Outlining next steps and providing templates for pilot execution
Conclusion and Future Directions
Requirements
- Foundational understanding of HR workflows and key industry terminology
- Proficiency in using spreadsheets and web-based applications
- A keen interest in applying AI to HR with a focus on ethics and practicality
Target Participants
- HR Managers and HR Business Partners
- Talent Acquisition and People Operations Specialists
- HR Analysts and Professionals focused on People Analytics
14 Hours