AI Diffusion in Low Resource Language Countries
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866915597337493504 |
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| author | Misra, Amit Zamir, Syed Waqas Hamidouche, Wassim Becker-Reshef, Inbal Ferres, Juan Lavista |
| author_facet | Misra, Amit Zamir, Syed Waqas Hamidouche, Wassim Becker-Reshef, Inbal Ferres, Juan Lavista |
| contents | Artificial intelligence (AI) is diffusing globally at unprecedented speed, but adoption remains uneven. Frontier Large Language Models (LLMs) are known to perform poorly on low-resource languages due to data scarcity. We hypothesize that this performance deficit reduces the utility of AI, thereby slowing adoption in Low-Resource Language Countries (LRLCs). To test this, we use a weighted regression model to isolate the language effect from socioeconomic and demographic factors, finding that LRLCs have a share of AI users that is approximately 20% lower relative to their baseline. These results indicate that linguistic accessibility is a significant, independent barrier to equitable AI diffusion. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2511_02752 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AI Diffusion in Low Resource Language Countries Misra, Amit Zamir, Syed Waqas Hamidouche, Wassim Becker-Reshef, Inbal Ferres, Juan Lavista Computation and Language Artificial Intelligence Computers and Society Artificial intelligence (AI) is diffusing globally at unprecedented speed, but adoption remains uneven. Frontier Large Language Models (LLMs) are known to perform poorly on low-resource languages due to data scarcity. We hypothesize that this performance deficit reduces the utility of AI, thereby slowing adoption in Low-Resource Language Countries (LRLCs). To test this, we use a weighted regression model to isolate the language effect from socioeconomic and demographic factors, finding that LRLCs have a share of AI users that is approximately 20% lower relative to their baseline. These results indicate that linguistic accessibility is a significant, independent barrier to equitable AI diffusion. |
| title | AI Diffusion in Low Resource Language Countries |
| topic | Computation and Language Artificial Intelligence Computers and Society |
| url | https://arxiv.org/abs/2511.02752 |