全球业界共筑AI人才新生态 国际AI人才培养交流会在京圆满落幕

Core Viewpoint - The "International AI Talent Training Exchange Conference" held on January 9, 2026, aims to promote global collaboration in AI talent development and innovation, emphasizing the importance of talent as the foundation for sustainable AI innovation and industry application [1]. Group 1: Conference Overview - The conference was supported by the China Scholarship Talent Development Foundation and the UCL AI Centre, gathering top academic institutions, AI experts, and representatives from various sectors to discuss opportunities in international AI talent cultivation and global academic cooperation [1]. - The theme of the conference was "International AI Talent Cultivation: Global Vision and Collaborative Innovation," focusing on creating a high-level dialogue platform for sharing ideas and solutions for the sustainable development of the global AI talent ecosystem [1]. Group 2: Key Presentations - The welcome address by Zhang Hui, General Manager of Zhongtu Digital Technology (Beijing) Co., emphasized the significance of international intellectual collaboration in technological development during the digital era [2]. - Xiao Rui, Director of the China Scholarship Talent Development Foundation, outlined the foundation's public welfare philosophy and initiatives in AI talent cultivation, including high-level talent introduction and youth AI training programs [2]. - Professor Patrick Baert from the University of Cambridge discussed the profound impacts and ethical considerations of integrating AI into education from a sociological perspective [4]. - Guo Xiaoyan, General Manager of International Talent Resource Service Co., analyzed the urgent demand for high-level tech talent from enterprises and the need for systematic support mechanisms [5]. - Professor Sahan Bulathwela from UCL shared insights on how AI technology can innovate learning methods and enhance educational effectiveness [7]. - Dr. Huang Yutao from Oxford University provided unique perspectives on contemporary youth's career choices and development paths in the context of AI technological transformation [8]. - Professor Xiao Yinan from Peking University elaborated on the main challenges faced by the education sector in the AI era and proposed systematic response strategies [10]. Group 3: Roundtable Discussion - The roundtable discussion focused on how AI can better support educational development, with various cross-disciplinary guests engaging in deep dialogue [12]. - Kellen Chen from IDAT highlighted breakthrough applications of AI in enhancing fairness and precision in educational assessments, driving personalized learning [14]. - Zhang Lu from the China Computer Society shared insights on innovations in technology popularization education in primary and secondary schools [14]. - Han Yue from the Canadian International Education Group discussed strategic layouts in smart teaching within the AI era [14]. - Yena Wang from Beijing Canadian International School explored the value of AI technology in student admission planning and emphasized the importance of personalized care in efficient services [14]. - Professor Gong Ling from Beijing Institute of Fashion Technology discussed the vast prospects of integrating AI with art education to empower the creative industry [14]. - The discussion extended to common challenges and future trends in AI education applications, with a consensus on the need to prioritize human-centered approaches while safeguarding the humanistic core of education [14]. Group 4: Conclusion - The conference concluded with a strong emphasis on the importance of collaboration and shared understanding among participants to build a global AI talent development community [15]. - Attendees expressed a commitment to deepening cooperation to cultivate a new generation of AI talent capable of leading future advancements and responsibilities [15].