AI ethics evidence index Search
Source-linked daily record
Evidence record 7532 · automatically gathered

Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context

Large language models (LLMs) increasingly influence global digital ecosystems, yet their potential to perpetuate social and cultural biases remains poorly understood in underrepresented contexts. This study presents a systematic analysis of representational biases in seven state-of-the-art LLMs: GPT-4o-mini, Claude-3-Sonnet, Claude-4-Sonnet, Gemini-2.0-Flash, Gemini-2.0-Lite, Llama-3-70B, and Mistral-Nemo in the Nepali cultural context. Using Croissant-compliant dataset of 2400+ stereotypical an

Record details

Published: 8 March 2026
Source: arXiv
Category: Research
Topics: Bias & fairness
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.

Also mentions Google & DeepMind · Also mentions Mistral

EQUITRIAGE: A Fairness Audit of Gender Bias in LLM-Based Emergency Department Triage

arXiv · 5 May 2026

Also mentions Google & DeepMind · Also mentions Mistral

Mind the Gap: Pitfalls of LLM Alignment with Asian Public Opinion

arXiv · 6 March 2026

Also mentions Google & DeepMind · Also mentions Mistral

Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

OpenAlex · 30 April 2026

Also mentions Google & DeepMind · Also mentions Mistral

The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models

arXiv · 9 June 2026

Also mentions Google & DeepMind · Also mentions Mistral

Do language families matter? Evaluating LLMs for sentiment analysis through a hierarchical cross-lingual lens

Frontiers in Artificial Intelligence · 24 July 2026

Also mentions Google & DeepMind · Shared topic: Bias & fairness

Six Institutional Intervention Areas to Support Ethical and Effective Student Use of Generative AI in Higher Education: A Narrative Review

OpenAlex · 16 January 2026

How to cite this record

ethics.ai (8 March 2026), “Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context,” evidence record 7532, https://ethics.ai/record/7532 (originally published by arXiv).

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.