AI in Higher Education: Policy Shifts and Student Accountability in Practice

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Banning students from using artificial intelligence (AI) in their work is not productive. In a discussion about this topic, Alexander Rodin, Chief Specialist at the NTI Competence Center for Artificial Intelligence based in MIPT, commented on the Moscow City Pedagogical University (MGPU) decision to permit the use of neural networks in coursework and in preparing final qualification work.

Rodin noted that prohibiting AI, phones, rulers, and cheating is at best questionable because a student’s command of the subject becomes evident during the final presentation and defense. He emphasized that even when a neural network generates a polished text, the student must still understand and explain each term personally.

At Moscow State Pedagogical University, it was stated that students will have access to chatbots such as ChatGPT and other AI-based tools to gather data and draft text for their graduate theses. However, any borrowed material must be critically analyzed, processed, and verified independently by the student.

In early remarks, there were plans to explore AI applications in detecting violations within waste management facilities.

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