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Evidence record 17348 · automatically gathered

Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts

Measuring political bias in large language models (LLMs) remains challenging as it can manifest through subtle differences in framing, argumentation, and legal reasoning that are difficult to capture with a single metric. In this work, we introduce Poli-Bias, a counterfactual framework for measuring whether LLMs treat legally equivalent conflict scenarios differently depending on the countries involved. Poli-Bias compares responses to paired prompts in which country identities are systematically

Record details

Published: 6 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Bias & fairness
Retrieved: 7 August 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: Bias & fairness

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How to cite this record

ethics.ai (6 August 2026), “Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts,” evidence record 17348, https://ethics.ai/record/17348 (originally published by arXiv cs.AI).

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