teaching
Chiba University's guideline says that when instructors allow students to use generative AI in class, instructors should consider fairness because outputs may differ depending on external-service registration and paid or free versions.
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Chiba University currently has 5 source-backed claim records and 1 official source attribution. Latest tracked changed date: May 20, 2026. No tracker diff rows are recorded in the latest public release.
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5 claim records
Chiba University's guideline says that when instructors allow students to use generative AI in class, instructors should consider fairness because outputs may differ depending on external-service registration and paid or free versions.
Chiba University's guideline tells students not to enter personal information or confidential information into generative AI and notes the information-leakage risk of entering unpublished research plans or research results.
Chiba University's guideline says that when instructors prohibit or restrict generative AI use in a class, they should clearly state that in the syllabus or other course handouts and explain the reason to students.
Chiba University's guideline says each course instructor judges whether generative AI use is consistent with class objectives and may prohibit or restrict generative AI use where it would significantly undermine achievement of educational objectives.
Chiba University's teaching-and-learning guideline says the university does not uniformly prohibit generative AI use in teaching and learning and promotes learning about, with, and aside from generative AI according to purpose.
1 source attribution
official_pdf Tracker checked at May 20, 2026, 2:03 AM