arXiv cs.CY· Giulia Occhini, Kumiko Tanaka-Ishii, Anna Barford, Refael Tikochinski, Songbo Hu, Roi Reichart, Yijie Zhou, ester James V. Miranda, Hannah Claus, Ulla Petti, Ivan Vuli\'c, Ramit Debnath, Anna Korhonen·· 13 小时前AI 评分42
研究：AI 正在制造新的全球语言等级体系
Artificial intelligence is creating a new global linguistic hierarchy
AI 导读
一项覆盖 6003 种语言的全球纵向分析发现，语言 AI 资源高度集中于少数语言，语言间差距正以指数级扩大而非缩小。研究还对比了 AI 与早期 IT 技术的扩散曲线，指出 AI 呈现由炒作驱动的独特传播模式。团队提出 Language AI Readiness Index（EQUATE），用于评估各语言在技术、社会经济与基础设施上的 AI 部署条件。
正文 · 原文
Authors:Giulia Occhini, Kumiko Tanaka-Ishii, Anna Barford, Refael Tikochinski, Songbo Hu, Roi Reichart, Yijie Zhou, ester James V. Miranda, Hannah Claus, Ulla Petti, Ivan Vulić, Ramit Debnath, Anna Korhonen
Abstract:Artificial intelligence (AI) has the potential to transform healthcare, education, governance and socioeconomic equity, but its benefits remain concentrated in a small number of languages (Bender, 2019; Blasi et al., 2022; Joshi et al., 2020; Ranathunga and de Silva, 2022; Young, 2015). Language AI - the technologies that underpin widely-used conversational systems such as ChatGPT - could provide major benefits if available in people's native languages, yet most of the world's 7,000+ linguistic communities currently lack access and face persistent digital marginalization. Here we present a global longitudinal analysis of social, economic and infrastructural conditions across languages to assess systemic inequalities in language AI. We first analyze the existence of AI resources for 6003 languages. We find that despite efforts of the community to broaden the reach of language technologies (Bapna et al., 2022; Costa-Jussà et al., 2022), the dominance of a handful of languages is exacerbating disparities on an unprecedented scale, with divides widening exponentially rather than narrowing. Further, we contrast the longitudinal diffusion of AI with that of earlier IT technologies, revealing a distinctive hype-driven pattern of spread. To translate our findings into practical insights and guide prioritization efforts, we introduce the Language AI Readiness Index (EQUATE), which maps the state of technological, socio-economic, and infrastructural prerequisites for AI deployment across languages. The index highlights communities where capacity exists but remains underutilized, and provides a framework for accelerating more equitable diffusion of language AI. Our work contributes to setting the baseline for a transition towards more sustainable and equitable language technologies.
| Subjects: | Computers and Society (cs.CY); Computation and Language (cs.CL) |
| Cite as: | arXiv:2602.12018 [cs.CY] |
| (or arXiv:2602.12018v2 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2602.12018 arXiv-issued DOI via DataCite |
Submission history
From: Giulia Occhini [view email]
[v1]
Thu, 12 Feb 2026 14:50:44 UTC (3,159 KB)
[v2]
Thu, 22 Oct 2026 13:01:18 UTC (2,863 KB)
来源：arXiv cs.CY · arxiv.org