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AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

29 upvotes · 30 JUL 2026 · Xiangning Lin, Shenzhe Zhu, Shu Yang et al.

This paper introduces a framework to audit system prompts in AI applications, examining how developers design and use these prompts to govern the behaviors of foundation models. Practitioners should care because the lack of transparency and accountability in system prompts can erode trust in AI systems.

AI system auditinguser-centric designnatural language processingAI ethicstrust and accountability in AI systems