研究全球早期用户如何使用生成式AI，发现收入与语言影响使用模式。
How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language
- 基于匿名聊天数据，分析各国早期用户使用行为差异
- 低收入国多用于教育，高收入国多用于娱乐，与人均GDP呈反比
- 英语使用偏多，因非主流语言模型表现差，或加剧数字鸿沟
生成式AI正被全球用户采用，但使用方式存在显著差异。本研究利用大规模匿名、去标识化且隐私清除的通用免费AI聊天机器人交互数据，实证分析了各国早期用户使用行为的异同。多数国家最常见的使用场景是教育，尤其在低收入国家中更为普遍，且教育使用与国家人均GDP呈显著负相关。相比之下，休闲类使用与国家收入水平呈正相关。语言也显著影响使用模式：英语交互在主要语言未被现有模型充分支持的地区占比更高。研究提示，提升多语言性能，可能是决定该技术扩大数字鸿沟还是实现跨越式发展的关键因素。
原文摘要 · Abstract (English)
AI is being used by people globally, but not everyone is using it in the same ways. Using a large-scale dataset of anonymized, de-identified, and privacy-scrubbed interactions with a widely available and free AI chatbot, we empirically characterize differences in early adopters' usage across countries. Schooling is the most common domain of use in most countries, particularly low-income countries, with a strong inverse association evident between schooling and country-level GDP. Leisure-related use, by contrast, is positively associated with country-level income. Language, we find, also shapes use: English-language interactions are overrepresented in places where the predominant languages were not well-served by existing models during the period of the study. Improving performance across languages may be a key factor, our work suggests, in whether this technology expands digital divides or enables leapfrogging.
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