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

First seen · 8/3/2026, 12:00 PMLatest activity · 8/3/2026, 12:00 PM

The paper introduces Artificial Intelligence System Prompt Assurance (AISPA), a user-centric framework for auditing system prompts across eight user-relevant dimensions. The authors review 3,249 instructions from 88 commercial AI products, labeling instructions as protective or problematic. They report substantial variation among developers: some average more than 60 protective instructions per product, while others average fewer than five. Although 98.9% of products contain at least one protective instruction, only 24% cover all eight dimensions. System prompts have also become longer and more user-protective over time. However, about 40% of products contain at least one instruction that may work against user interests.

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  1. AggregatorHuggingFace Daily Papers8/3, 12:00 PMnot independentRepresentative
    AISPA: User-Centric System Prompt Auditing for Large Language Model Applications