Core Viewpoint - Tsinghua University has released comprehensive guiding principles for the application of artificial intelligence (AI) in education, establishing a structured framework for its use across the campus [1][12]. Group 1: General Provisions - The guiding principles outline a proactive yet cautious approach to AI, emphasizing five core principles: responsibility, compliance and integrity, data security, prudence and critical thinking, and fairness and inclusivity [5]. - The framework mandates proper disclosure of AI usage, prohibits academic misconduct, and forbids the use of sensitive or unauthorized data in AI model training [5]. - It highlights the importance of vigilance against AI-generated errors and encourages cross-verification to prevent cognitive complacency due to over-reliance on technology [5]. Group 2: Teaching and Learning - Educators are advised to determine how AI should be utilized based on course objectives and to explain the guiding principles to students at the beginning of the semester [6]. - The guidelines encourage educators to help students develop a critical and comprehensive understanding of AI, while strictly prohibiting the use of AI-generated texts or codes in academic submissions [6]. Group 3: Theses, Dissertations, and Practical Work - The principles stress that AI should not replace academic training or independent intellectual work required from students [7]. - The use of AI for ghostwriting, plagiarism, or other forms of misconduct is strictly prohibited, with supervisors required to provide clear guidelines for appropriate AI usage [7]. Group 4: Future Developments - The principles are designed to foster innovation rather than hinder it, reflecting a thorough examination of AI's growing role in education [8]. - Tsinghua University plans to disseminate these principles through its AI competency platform, workshops for faculty, and interdisciplinary dialogues to promote responsible and informed AI usage [9].
Tsinghua University veröffentlicht das erste universitätsweite Rahmenwerk zur Regelung von KI in Lehre und Forschung
Prnewswire·2025-12-02 04:33