Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/5029
Title: Improving Clarity and Accessibility in Public Procurement Documents: An AI–Powered Approach to Plain Writing Compliance
Authors: Mayra Hernandez, Chace Morris
Keywords: Public Procurement
Artificial Intelligence
ChatGPT
Plain Writing Principles
Large Language Models
Issue Date: 27-Dec-2023
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Acquisition Management;NPS-AM-24-010
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.
Description: Acquisition Management / Graduate Student Research
URI: https://dair.nps.edu/handle/123456789/5029
Appears in Collections:NPS Graduate Student Theses & Reports

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NPS-AM-24-010.pdfStudent Thesis2.57 MBAdobe PDFView/Open
Student Poster.pdfStudent Poster392.89 kBAdobe PDFView/Open


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