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人工智能正在创造新的全球语言等级秩序

Artificial intelligence is creating a new global linguistic hierarchy

Giulia Occhini · Kumiko Tanaka-Ishii · Anna Barford · Refael Tikochinski · Songbo Hu · Roi Reichart · et al.

中文摘要

人工智能(AI)有望改变医疗、教育、治理与社会经济公平,但其收益仍集中于少数语言。支撑 ChatGPT 等对话系统的语言 AI 若能以 peoples 的母语提供服务,可能带来重大收益;然而全球 7,000 多个语言群体大多无法获得相关服务,并持续遭受数字边缘化。研究对 6,003 种语言的社会、经济和基础设施条件开展全球纵向分析,考察语言 AI 中的系统性不平等。尽管语言技术社区努力扩大覆盖范围,少数语言的支配地位仍正以前所未有的规模加剧差距,差距呈指数扩大而非收窄。与早期 IT 技术相比,语言 AI 的纵向扩散呈现出由炒作驱动的独特模式。研究提出语言 AI 准备度指数(EQUATE),绘制各语言部署 AI 所需的技术、社会经济和基础设施条件,识别已有能力但尚未充分利用的语言群体,并为加速语言 AI 更公平扩散提供框架。

关键要点

  1. 01分析覆盖 6,003 种语言,揭示语言 AI 资源高度集中于少数语言。
  2. 02全球 7,000 多个语言群体仍缺乏语言 AI 服务,并持续遭遇数字边缘化。
  3. 03研究发现语言 AI 的扩散呈炒作驱动模式,与早期 IT 技术不同。
  4. 04提出语言 AI 准备度指数(EQUATE),评估各语言 AI 部署的前置条件。
  5. 05指数用于定位已有能力但尚未充分利用的语言群体,支持更公平的技术扩散。

解读

尚无解读。

原始英文摘要

arXiv:2602.12018v2 Announce Type: replace-cross 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-Juss\`a 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.

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