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Graduate School USA

AI for Federal Policy Analysis Course

via Graduate School USA

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Overview

Federal policy professionals are expected to analyze regulations, executive orders, and internal guidance faster than ever — and increasingly, to do so with AI.

This 4-hour course teaches policy staff how to use generative AI responsibly to compare policy documents, identify gaps, and draft clear policy artifacts, while meeting federal records, FOIA, and data-handling requirements.

Syllabus

Module 1

  • Generative AI capabilities and limits for policy work
  • Federal AI landscape: OMB memoranda, agency use case inventories, approved tools
  • Data sensitivity: public, CUI, PII
  • Core risks: hallucination, fabricated citations, stale training data

Module 2

  • Structure of CFR sections, EOs, and internal guidance
  • Prompt patterns: side-by-side comparison, redline, gap analysis, crosswalk
  • Grounding AI in authoritative source text
  • Working with long documents
  • Citation verification

Module 3

  • Drafting workflow: outline → draft → tighten → cite-check
  • Document types: decision memos, briefing papers, public summaries, SOPs, comment responses
  • Plain-language requirements
  • Human review checklist

Module 4

  • AI prompts and outputs as federal records
  • FOIA implications
  • Bias and stakeholder impact
  • Building a team AI policy-analysis playbook

Taught by

Bruce Gay, Steve Pesklo, Brian Simms, Clarissa J. Corbin, Natalya H. Bah, and Michiel Pruijssers

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