Stanford's AISPA Audits System Prompts From the User's Side

AISPA, from Stanford, proposes user-centric auditing of the system prompts behind deployed LLM applications — the hidden instructions that decide what a product will and will not do, which users never see and cannot inspect. It is second on today’s Hugging Face papers board. The practical read is regulatory rather than academic: as LLM features land in finance, healthcare and hiring, “what was the model actually told to do” becomes a question auditors will ask and vendors currently cannot answer in any structured way. Methods like this are usually the precursor to a compliance product rather than the end of the story.