Workflow
法衡
icon
Search documents
全国政协常委金石:以人工智能点燃高等教育的“新质引擎”
Xin Lang Cai Jing· 2026-02-12 20:34
Core Viewpoint - The core focus of the article is on how higher education must adapt and iterate in response to the rapid advancements in artificial intelligence, which is reshaping human knowledge at an exponential rate [1]. Group 1: Education and AI Integration - The gap between the rapid evolution of algorithms in laboratories and the slower pace of traditional education and talent cultivation is a critical issue that needs to be addressed [1]. - The transformation in education should not merely involve digitizing teaching methods but should focus on reshaping the underlying logic of academic disciplines [1]. - There is a pressing need to integrate AI deeply into educational frameworks to better serve talent development and promote educational reform [1]. Group 2: AI4SEU Action Plan - The "AI4SEU" initiative aims to embed artificial intelligence into every traditional discipline through supply-side structural reforms [2]. - The university has made early investments in emerging fields such as low-altitude technology, 6G, organ chips, and future robotics [2]. - The focus should shift from teaching basic AI operations to promoting deep integration of AI into core research areas, enhancing both technology and professional capabilities [2]. Group 3: Development of Domain-Specific Models - The shift from general large models to "domain-specific large models" represents a strategic battleground for higher education to support industry transformation [2]. - The university has supported the development of several domain-specific models, including quantum computing software and models in concrete materials and law [2]. - Combining "professional depth" with "intelligent breadth" is seen as a core element of new productive forces, with a recommendation for universities to create proprietary domain models to gain asymmetric advantages in international tech competition [2]. Group 4: Future of Talent Development - The emphasis is on breaking down disciplinary barriers through AI empowerment and timely assessment of technological trends to reconstruct talent cultivation models [3]. - The goal is to provide sustainable and systematic support for the formation of new productive forces, thereby strengthening the foundation for China's modernization [3].