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

AI in the HR Landscape

• Key AI capabilities applicable to HR, including LLMs, automation, and analytics
• Typical HR applications and their potential impact
• Strategies for assessing organizational readiness and defining the scope of AI pilots

Responsible AI, Data Privacy, and Regulatory Compliance in HR

• Core data privacy principles and the management of personal data within HR frameworks
• Addressing bias, ensuring fairness, and navigating legal aspects in hiring and performance reviews
• Governance structures, approval processes, and documentation standards for HR AI projects

Applied Prompting and Generative Workflows for HR

• Constructing prompts for creating job descriptions, summarizing candidate screenings, and generating offer letters
• Utilizing templates and prompt structures for HR correspondence and policy drafting
• Iterating on prompts, validating outputs, and implementing human-in-the-loop oversight

Automation Strategies and Process Architecture

• Building comprehensive workflows that integrate LLMs, spreadsheets, and HRIS systems
• Automating routine activities such as interview coordination, responding to FAQs, and managing onboarding checklists
• Overview of integration patterns using APIs and low-code platforms

People Analytics and AI-Assisted Decision Making

• Leveraging AI for workforce insights, including attrition forecasting, skills gap identification, and personalized learning suggestions
• Analyzing model results and effectively communicating insights to key stakeholders
• Establishing KPIs and calculating ROI for HR-focused AI initiatives

Change Management and Execution Roadmap

• Forming cross-functional teams and developing stakeholder engagement tactics
• Planning pilot phases, rollout stages, and training programs for HR teams
• Operational aspects: monitoring, maintenance, and strategies for continuous enhancement

Practical Workshop: Developing an AI-Powered HR Solution

• Group exercise: Identify a specific problem, design a solution, and develop associated prompts and workflows
• Presentations and peer evaluations focusing on ethical and operational feedback
• Outline of next steps and templates for pilot deployment

Conclusion and Future Directions