开发并验证了阿拉伯语大模型态度量表，助力本地化研究与政策制定。
Developing and Validating the Arabic Version of the Attitudes Toward Large Language Models Scale
- 将英文学界量表翻译为阿拉伯语，并在249名成年受访者中验证。
- 量表具双因子结构，信效度良好，性别跨组测量不变性显著。
- 填补非西方文化背景下大模型态度研究空白，适合区域政策参考。
随着大语言模型（LLMs）的全球普及，理解公众对其态度需具备本地化和语言适配的工具。阿拉伯地区虽有全球主流平台及本土如Fanar、Jais等提供阿拉伯语支持，但缺乏文化适配的态度测量工具。本文基于5项人工智能态度量表（ATAI），采用英国样本开发出英文版通用大模型态度（AT-GLLM）与初级大模型态度（AT-PLLM）量表。本研究将二者翻译为阿拉伯语，并在249名阿拉伯语成年参与者中进行验证。结果表明，阿拉伯语版本量表具有良好的可靠性与有效性，心理测量分析确认其双因子结构，跨性别测量不变性显著，内部一致性良好，且收敛与区分效度俱佳。该量表可支持阿拉伯地区非西方背景下的研究，有助于绘制全球大模型认知图景，并推动本地化研究与政策制定。
原文摘要 · Abstract (English)
As the use of large language models (LLMs) becomes increasingly global, understanding public attitudes toward these systems requires tools that are adapted to local contexts and languages. In the Arab world, LLM adoption has grown rapidly with both globally dominant platforms and regional ones like Fanar and Jais offering Arabic-specific solutions. This highlights the need for culturally and linguistically relevant scales to accurately measure attitudes toward LLMs in the region. Tools assessing attitudes toward artificial intelligence (AI) can provide a base for measuring attitudes specific to LLMs. The 5-item Attitudes Toward Artificial Intelligence (ATAI) scale, which measures two dimensions, the AI Fear and the AI Acceptance, has been recently adopted and adapted to develop new instruments in English using a sample from the UK: the Attitudes Toward General LLMs (AT-GLLM) and Attitudes Toward Primary LLM (AT-PLLM) scales. In this paper, we translate the two scales, AT-GLLM and AT-PLLM, and validate them using a sample of 249 Arabic-speaking adults. The results show that the scale, translated into Arabic, is a reliable and valid tool that can be used for the Arab population and language. Psychometric analyses confirmed a two-factor structure, strong measurement invariance across genders, and good internal reliability. The scales also demonstrated strong convergent and discriminant validity. Our scales will support research in a non-Western context, a much-needed effort to help draw a global picture of LLM perceptions, and will also facilitate localized research and policy-making in the Arab region.
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