探索数字人才“引育留用”新路径

Group 1 - The core viewpoint emphasizes the importance of developing a digital talent workforce to support the construction of a digital China and digital economy, highlighting the need for integration between education, talent, industry, and innovation chains [1][3] - The new generation of technological revolution is reshaping global competition, shifting international cooperation from mere technology introduction and talent training to ecological co-construction and capability symbiosis [1][2] - The cultivation of composite talents is essential as digital technologies empower various industries, requiring higher demands for cross-disciplinary capabilities and international perspectives [1][2] Group 2 - The focus on nurturing innovative talents through sustainable infrastructure in international cooperation is crucial, with a specific example of a partnership between a Chinese AI service provider and a Malaysian institution to develop an AI service platform by 2025 [2] - The establishment of a global governance framework for AI and data elements is necessary, with China's "AI+" global cooperation being a key action to enhance international dialogue and contribute to global AI governance [2][3] - The current challenges in digital talent cultivation include a disconnect between talent training and industry needs, insufficient international practice platforms, and a lack of high-level talents with both technical skills and governance awareness [3][4] Group 3 - A systematic optimization of the talent cultivation mechanism is needed, focusing on practical orientation and deepening international cooperation to achieve the integration of education, talent, industry, and innovation chains [3][4] - The promotion of collaborative training models involving government, universities, enterprises, and international organizations is essential to create a complete chain from knowledge transfer to capability refinement [3][4] - Establishing long-term cooperation mechanisms and innovative models for industry-education integration is vital to ensure the continuity of knowledge transfer and technology collaboration [4]