Course Outline

Introduction to AI in HR

  • Overview of AI capabilities relevant to HR, including large language models (LLMs), automation, and analytics for government.
  • Common HR use cases and their impact areas within public sector organizations.
  • How to assess readiness and scope for initiating AI pilot projects in a government context.

Responsible AI, Privacy, and Compliance in HR

  • Fundamentals of data privacy and the handling of personal information within HR processes for government.
  • Considerations for bias, fairness, and legal compliance in recruitment and performance evaluation within public sector environments.
  • Governance frameworks, approvals, and documentation requirements for AI projects in HR for government agencies.

Practical Prompting and Generative Workflows for HR

  • Crafting effective prompts for job descriptions, candidate screening summaries, and offer letters to support HR operations for government.
  • Templates and prompt patterns for HR communications and policy drafting to enhance efficiency and accuracy.
  • Iterative processes for refining prompts, validating outputs, and ensuring human oversight in AI-driven workflows.

Automation and Process Design

  • Designing comprehensive workflows that integrate LLMs, spreadsheets, and Human Resource Information Systems (HRIS) for government use.
  • Automating routine tasks such as interview scheduling, FAQ responses, and onboarding checklists to streamline HR processes for government agencies.
  • Overview of integration patterns with APIs and low-code tools to support automated workflows in a public sector environment.

People Analytics and AI-Driven Decision Support

  • Utilizing AI for workforce analytics, including attrition prediction, skills gap analysis, and learning recommendations tailored for government HR.
  • Methods for interpreting model outputs and effectively communicating insights to stakeholders within public sector organizations.
  • Establishing key performance indicators (KPIs) and measuring the return on investment (ROI) for AI initiatives in HR for government agencies.

Change Management and Implementation Roadmap

  • Strategies for building cross-functional teams and engaging stakeholders to support AI adoption in HR for government.
  • Planning for pilot programs, phased rollouts, and comprehensive training for HR teams within public sector organizations.
  • Operational considerations, including monitoring, maintenance, and continuous improvement processes for sustainable AI implementation in government.

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

  • Group activity: select a target problem, design a solution, and create prompts/workflows tailored to the needs of government agencies.
  • Presentations and peer review sessions with feedback on ethical and operational considerations for government HR.
  • Next steps and templates for implementing AI pilots in government settings.

Summary and Next Steps

Requirements

  • Basic understanding of HR processes and terminology
  • Proficiency in using spreadsheets and web applications
  • Interest in the ethical application of AI in human resources

Audience for Government

  • HR managers and business partners within government agencies
  • Talent acquisition and people operations professionals in the public sector
  • HR analysts and people analytics practitioners for government
 14 Hours

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