#geographic-bias News & Analysis

2 articles tagged with #geographic-bias. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · Jun 56/10

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Geographic Bias and Diversity in AI Evaluation

A comprehensive literature review examines geographic bias in AI systems, revealing that foundation models encode structural imbalances in training data that disproportionately favor certain regions while underrepresenting others. The research identifies representation gaps, regional factual recall disparities, and the tendency of generative AI to default to prototypical Western places, establishing measurable benchmarks for evaluating geographic diversity across different model parameters and output types.

AINeutralarXiv – CS AI · May 286/10

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Whose Name Comes Up? III: Persona Prompting Effects in LLM-Based Scholar Recommendation

Researchers benchmarked 43 large language models used for academic scholar recommendations, revealing that prompt design significantly affects recommendation quality and diversity. The study found that model choice, persona prompting (language, location, role), and context variables independently shape which scholars are recommended, with geographic location prompts producing the most variation in factuality and representativeness across disciplines.