Episode #1
英语新闻丨利用人工智能缩小全球科技鸿沟
Developing nations seek greater access to talent, infrastructure to boost growth 发展中国家寻求更多人才、基础设施支持，以推动人工智能发展 Developing nations are seeking greater access to talent, infrastructure, artificial intelligence models and governance expertise, as they aim to harness AI without lagging further behind in its development and application, officials and experts from Global South countries said at an AI workshop in Beijing. 全球南方国家的官员和专家在北京举行的一场人工智能研讨会上表示，发展中国家正寻求更多机会获取人工智能人才、基础设施、人工智能模型以及治理经验，以便在利用人工智能推动发展的过程中避免进一步落后于全球技术发展和应用进程。 The fourth Workshop on AI Capacity Building is being held at Peking University from Monday through Saturday, with representatives from more than 30 nations attending. 第四届人工智能能力建设研讨班于周一至周六在北京大学举行，来自30多个国家的代表参加了此次活动。 The AI capacity building workshop follows President Xi Jinping’s announcement at the 2026 World AI Conference and High-Level Meeting on Global AI Governance in July, in which he said that China would provide developing countries with 5,000 opportunities for AI training and seminars over the next five years. 此次人工智能能力建设研讨班，是继中国国家主席习近平在2026年7月举行的世界人工智能大会暨全球人工智能治理高级别会议上宣布相关倡议之后举办的活动。习近平当时表示，未来五年，中国将向发展中国家提供5000个开展人工智能培训和研讨交流的机会。 Speaking at the workshop’s opening ceremony, Renan Gaya, director of data structuring and artificial intelligence at Brazil’s Ministry of Management and Innovation in Public Services, said that deep disparities in data, computing capacity, talent, standards and capital continue to shape the global AI landscape. 在研讨班开幕式上，巴西管理与公共服务创新部数据结构化与人工智能司司长雷南·加亚（Renan Gaya）表示，数据、算力、人才、标准和资本方面存在的巨大差距，正在持续塑造全球人工智能发展格局。 “Without collective action, AI may reinforce historical inequalities and create new forms of technological dependence,” Gaya said, adding that “countries must build their own capacity or, at least, reduce strategic dependencies”. “如果缺乏集体行动，人工智能可能会强化历史性不平等，并产生新的技术依赖形式。”加亚说。他补充道，“各国必须建立自身能力，或者至少降低在战略领域的依赖程度。” He added that the World Artificial Intelligence Cooperation Organization, or WAICO, and United Nations programs could help bridge the digital divide by sharing knowledge and providing training in areas where they are most needed. 他表示，世界人工智能合作组织（WAICO）以及联合国相关项目，可以通过分享知识、在最需要的领域提供培训，帮助缩小数字鸿沟。 “By sharing open-source AI models and knowledge through training and partnerships, China helps others build their own capacity,” he said. 他说：“通过培训和合作伙伴关系分享开源人工智能模型与知识，中国正在帮助其他国家建设自身能力。” In 2024, China promoted the adoption of a UN General Assembly resolution on AI capacity building by consensus. The country later launched further initiatives to expand practical cooperation in the field and proposed the establishment of the WAICO. 2024年，中国推动联合国大会就人工智能能力建设通过一项协商一致决议。随后，中国进一步推出扩大人工智能领域务实合作的相关倡议，并提出建立世界人工智能合作组织。 Assistant Foreign Minister Liu Bin described China as an early advocate of AI capacity building and noted that all of the participants in the workshop are from founding members of the WAICO, reflecting a commitment to ensuring that the initial participants would also be among the first to benefit. 中国外交部副部长刘彬表示，中国是人工智能能力建设的早期倡导者。他指出，本次研讨班所有参与方均来自世界人工智能合作组织创始成员，这体现了确保首批参与者也能率先受益的承诺。 However, Liu said that the potential of AI would not automatically translate into benefits for common development, and that it could instead entrench or even exacerbate inequalities. He said that capacity building should go beyond simply providing access to technologies and services, adding that greater emphasis should be placed on helping developing countries build the capabilities required to develop and apply AI more independently, using it to solve real-world problems in ways that generate lasting value. 不过，刘彬表示，人工智能的发展潜力并不会自动转化为促进共同发展的成果，反而可能进一步固化甚至扩大不平等。他指出，能力建设不应仅停留在提供技术和服务的层面，而应更加重视帮助发展中国家提升自主开发和应用人工智能的能力，使其能够利用人工智能解决现实问题，并创造长期价值。 Antoine Pokam, an inspector at the Inspectorate General in charge of Technical Matters of Cameroon's Ministry of Posts and Telecommunications, pointed to infrastructure, financing and access to AI models as areas in which developing countries need greater support. 喀麦隆邮政与电信部技术事务总监察局检查员安托万·波坎（Antoine Pokam）指出，基础设施、资金支持以及获取人工智能模型，是发展中国家需要获得更多支持的重要领域。 Stressing the need for capacity-building programs, he added that support was also required for projects, financing and infrastructure. 他强调，开展能力建设项目十分必要，同时相关支持也应覆盖项目实施、融资以及基础设施建设等方面。 Aung Myo Maung, deputy director of the National AI Development Department of Myanmar’s Ministry of Digital Development and Communications, said as Myanmar moves toward digitalization, the country’s government could benefit from China’s experience in areas such as data analytics and decision-support systems. 缅甸数字发展与通信部国家人工智能发展司副司长昂妙茂（Aung Myo Maung）表示，随着缅甸迈向数字化转型，政府可以借鉴中国在数据分析、决策支持系统等领域的经验。 Thanongdeuane Toulihong, deputy director of the Applied Research Institute of Smart Technology under Laos’ Ministry of Technology and Communications, said that human resources and infrastructure are among the major constraints facing AI development in his country, and that relevant policy frameworks also need to be developed further. 老挝技术与通信部智慧技术应用研究院副院长塔农杜安·图里洪（Thanongdeuane Toulihong）表示，人力资源和基础设施是当前制约老挝人工智能发展的主要因素之一，同时，相关政策框架也需要进一步完善。 [词汇提炼] harness /ˈhɑːrnɪs/ v.利用；驾驭；有效运用 capacity building /kəˈpæsəti ˌbɪldɪŋ/ n.能力建设；能力提升 infrastructure /ˈɪnfrəˌstrʌktʃər/ n.基础设施 governance /ˈɡʌvərnəns/ n.治理；管理体系 disparity /dɪˈspærəti/ n.差距；不平等；悬殊 reinforce /ˌriːɪnˈfɔːrs/ v.强化；加剧；巩固 dependency /dɪˈpendənsi/ n.依赖；依赖关系 collective action /kəˈlektɪv ˈækʃn/ n.集体行动；共同努力
