AI ethics evidence index Search
Source-linked daily record
Evidence record 14096 · automatically gathered

Estimating the Geopolitical Preferences of Large Language Models from United Nations Voting Data

arXiv:2607.25526v1 Announce Type: new Abstract: How should researchers measure the geopolitical preferences expressed by large language models (LLMs)? Existing audits commonly rely on surveys and simple tests, but international-relations research has long recognized that measuring geopolitical preferences is difficult and has developed methods for recovering them from observed choices. This paper applies a dynamic ordinal ideal-point approach from international relations, treating LLMs as respon

Record details

Published: 29 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Transparency
Retrieved: 29 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.

Same publisher byline

Artificial Institutions: How Institutional Design Shapes LLM Simulations

arXiv cs.CY · 6 August 2026

Same publisher byline

Geopolitical alignment: Endorsement effects in large language models

arXiv · 10 July 2026

Shared topic: Transparency

Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening

arXiv cs.CY · 29 July 2026

Shared topic: Transparency

Reconfiguring the global factory: The synergistic role of additive manufacturing, explainable AI, and knowledge acquisition in MNC operations

Technology in Society · 29 July 2026

Shared topic: Transparency

What if I Want to be an Avatar: Moral and Legal Implications of Opting for a Life in the Metaverse

Science and Engineering Ethics · 29 July 2026

Shared topic: Transparency

Requiem Without an Orchestrator: A Commentary on Hollanek and Nowaczyk-Basińska (2024)

Philosophy & Technology · 29 July 2026

How to cite this record

ethics.ai (29 July 2026), “Estimating the Geopolitical Preferences of Large Language Models from United Nations Voting Data,” evidence record 14096, https://ethics.ai/record/14096 (originally published by arXiv cs.CY).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.