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Evidence record 13790 · automatically gathered

Auditing Alignment Controllability in LLMs via Political Axes

arXiv:2607.23519v1 Announce Type: new Abstract: Political audits of large language models (LLMs) usually reduce each to one point on a political compass. But that resting point barely matters in deployment: a model must land somewhere, and what counts is how far, and in which directions, its answers can be steered. That steering runs through the system prompt: the personalization layer a platform sets, or one induced from a user's history, not necessarily written by hand. We run a dispersion-fir

Record details

Published: 28 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Safety & alignment · Transparency
Retrieved: 28 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.

Shared topic: Safety & alignment · Shared topic: Transparency

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How to cite this record

ethics.ai (28 July 2026), “Auditing Alignment Controllability in LLMs via Political Axes,” evidence record 13790, https://ethics.ai/record/13790 (originally published by arXiv cs.CY).

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