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    🇨🇳中国·政策·2026年7月18日·来源: SCMP

    China AI summit hears Global South needs equal access to avoid digital divide

    内容仅提供英文版本

    Scholars and international figures at China’s premier artificial intelligence conference, the World AI Conference (WAIC) in Shanghai, emphasized the urgent need for greater global cooperation and development-focused AI regulations. Their message highlighted the imperative to prevent a widening digital divide between advanced and developing nations. This aligns with Beijing’s broader strategy at WAIC, where it is actively courting the Global South. China’s AI package for these nations includes initiatives focused on training, infrastructure development, and a push for increased influence over global AI governance. The discussions underscore a growing international concern about equitable access to AI technologies and their potential societal impact.

    Nexa 摘要

    This development from the World AI Conference in Shanghai signals China’s strategic pivot towards solidifying its influence within the Global South regarding AI development and governance. By offering training and infrastructure, Beijing aims to position itself as a key partner for emerging economies seeking to leverage AI, potentially creating new market opportunities for Chinese AI firms and standards. This initiative could significantly reshape the competitive landscape in Asia, as other tech-forward nations like South Korea, Japan, and Singapore also vie for regional leadership and partnerships in AI.

    The emphasis on preventing a digital divide, while laudable, also serves China’s geopolitical ambitions by fostering closer ties with nations that may be wary of Western-centric AI frameworks. For Asia’s tech ecosystem, this means increased competition for talent, resources, and market share in AI infrastructure and applications. It also highlights the growing importance of multilateral dialogues and regulatory harmonization efforts, as different regional powers propose their own visions for AI’s future, potentially leading to a fragmented global AI landscape with distinct regional blocs.

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