瞭望 | AI进高校 治理需同步

Core Viewpoint - The integration of AI technologies, specifically DeepSeek, into higher education is transforming teaching, research, and management practices, while also presenting challenges related to academic integrity and data security [1][3][4]. Group 1: AI Empowerment in Education - Multiple universities, including Beihang University and Nankai University, have adopted DeepSeek to enhance teaching, research, and management, creating personalized intelligent learning systems [3][4]. - AI applications in education include academic planning, knowledge Q&A, concept explanation, writing guidance, and assignment feedback, which students find convenient and innovative [4][5]. - AI is seen as a tool to improve educational quality and modernize management practices, enhancing collaboration and decision-making within universities [5]. Group 2: Risks Associated with AI Implementation - The use of AI in academic settings raises concerns about academic misconduct, as students may misuse AI tools for tasks like essay writing, leading to a decline in critical thinking and innovation [6][9]. - Data security risks are highlighted, with concerns about the potential for sensitive information to be compromised if not properly managed [7][12]. - The reliability of AI-generated content is questioned, as instances of fabricated references have been reported, indicating a need for rigorous verification of AI outputs [6][8]. Group 3: Governance and Regulation - Institutions are encouraged to establish academic integrity detection platforms to combat AI-related misconduct, with varying levels of technology adoption across universities [11]. - There is a call for the development of comprehensive data security regulations to protect sensitive information in educational contexts [12]. - Universities should provide guidance on the appropriate use of AI tools, promoting a balance between technology and human capability, and fostering independent thinking among students [13].