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Graduate School USA

AI for Federal HR Classification

via Graduate School USA

Overview

An Introduction to AI Tools & Applications for Federal Classifiers

Syllabus

Module 1: AI Foundations for Federal HR Classification

  • What AI is (and what it is not)
  • Current trends in AI within federal HR
  • Benefits and limitations of AI in classification
  • Activity: Quick group discussion on AI use cases classifiers already see in their work

Module 2: AI in Position Description (PD) Development & Review

  • Using AI to draft or refine PDs
  • AI-assisted keyword and duty analysis for OPM standard alignment
  • Spotting redundancies and inconsistencies with AI support
  • Activity: Hands-on exercise—AI-assisted PD review

Module 3: Compliance, Oversight, and Ethical Use of AI

  • Ensuring alignment with Title 5 and OPM classification standards
  • Risks of bias, overreliance, and misinterpretation
  • Maintaining classifier accountability and decision authority
  • Activity: Case study review of AI outputs for compliance and fairness

Module 4: Practical Applications & Future Readiness

  • Integrating AI tools into daily classification workflows
  • Balancing efficiency with human expertise
  • Preparing for future AI developments in federal HR
  • Activity: Scenario-based group exercise—participants use AI support to classify sample positions and compare results

Taught by

Bruce Gay, Steve Pesklo, and Brian Simms

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