arXiv:2602.12018cs.CYcs.CL2026-02被引 5

AI语言技术正加剧全球语言不平等,仅少数语言获益。

Artificial intelligence is creating a new global linguistic hierarchy

  • 分析6003种语言的AI资源分布,揭示少数语言主导现状
  • 发现语言差距呈指数扩大,远超早期信息技术扩散
  • 提出EQUATE指数,为公平推广提供评估框架

人工智能(AI)有望重塑医疗、教育、治理与社会经济公平,但其效益目前集中在少数语言中。语言AI技术(如ChatGPT背后系统)若能在人们母语中使用,将带来巨大价值,然而全球7000多种语言社区中,多数仍缺乏访问权限,持续面临数字边缘化。本文对6003种语言进行全球纵向分析,评估语言AI在社会、经济与基础设施层面的系统性不平等。尽管社区已努力拓展语言技术覆盖范围,但少数语言的主导地位正导致差距以指数级扩大。进一步对比语言AI与早期信息技术的扩散路径,发现其呈现独特的炒作驱动模式。为此,我们提出语言AI准备度指数(EQUATE),映射各语言在技术、社会经济与基础设施方面的部署条件,识别出已有能力却未被充分利用的语言社区,并为推动更公平的语言AI普及提供指导框架。本研究为实现可持续、包容性的语言技术发展奠定基础。

原文摘要 · Abstract (English)

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.

语言AI数字鸿沟公平性

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