Improving Clarity and Accessibility in Public Procurement Documents: An AI-Powered Approach to Plain Writing Compliance

Abstract

This research addressed the pervasive issue of complex and unclear communication in Department of Defense procurement processes, which hinders transparency and poses a barrier to entry in public sector markets. Utilizing a two-phase approach, this research sought to enhance public procurement communications and align them with the Plain Writing Act. Phase 1 utilized text analysis software and artificial intelligence (AI) tools to refine procurement documents, focusing on clarity and adherence to Plain Writing Principles. The analysis revealed substantial variations in complexity and readability levels, with most Original documents not easily understood by the general public. AI-Refined versions effectively improved readability and comprehension, demonstrating AI's potential to simplify complex language and enhance document accessibility. Phase 2 assessed stakeholder perceptions of Original, AI-Refined, and AI/Human-Refined documents through surveys. A key finding was the universal preference for AI-enhanced versions over Original documents. Purely AI-driven revisions were perceived as more effective and better aligned with plain writing standards than those involving human collaboration. Overall, the research highlights AI's potential as an innovative approach to improve the clarity and effectiveness of public procurement communications, making complex information more understandable and accessible to a broader audience.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2023
Accession Number
AD1225348

Entities

People

  • Chace Morris
  • Mayra Hernandez

Organizations

  • Naval Postgraduate School

Tags

Readers

  • Defense Acquisition Program Management
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval