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Evidence record 3374 · automatically gathered

Prompts for Public-Sector LLMs Should Be Governed as Commons

This paper argues that prompts used to deploy large language models (LLMs) in public-sector settings should be treated as governed artefacts rather than private, transient inputs. Prompts encode role instructions, decision framings, and value claims; prompt choice can materially shift outputs even when model weights and input records are held fixed. Existing governance tools, including model and dataset documentation, organisation-level policies, and post-training alignment, rarely make the loca

Record details

Published: 30 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (30 May 2026), “Prompts for Public-Sector LLMs Should Be Governed as Commons,” evidence record 3374, https://ethics.ai/record/3374 (originally published by arXiv).

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