Chiba City, Japan

Chiba University

Name: Chiba University AI Policy Tracker record
Creator: University AI Policy Tracker
License: https://creativecommons.org/licenses/by/4.0/

RankingQS World University Rankings 2026: 791-800UpdatedMay 20, 2026

No reviewed summary yet

Reviewed record

Reviewed claims

5 reviewed claims

Normalized value: students_no_personal_confidential_unpublished_research_info_in_ai

Last checked: May 20, 2026
Last changed: May 20, 2026

Original evidence

Evidence 1

学生は、生成 AI を教育・学習で利用する際には、以下の諸点について留意する。生成 AI には個人情報や機密情報は入力しないこと（公開されても差し支えない情報のみ入力すること）。生成 AI に未公表の研究計画や研究成果などを入力すると、情報漏洩につながる危険性があること。
Source: 千葉大学の教育・学習における生成 AI の利用についての指針

Localized display only

Students should keep these points in mind: do not enter personal or confidential information into generative AI; entering unpublished research plans or results may lead to information leakage.

Source language: ja
Snapshot hash: 06a73425…
Retrieved: May 20, 2026
Evidence locator: Guideline item 5

Normalized value: instructors_may_restrict_ai_when_objectives_undermined

Last checked: May 20, 2026
Last changed: May 20, 2026

Original evidence

Evidence 1

生成 AI の授業での利用は、それが授業の目的に合致することが前提であり、合致するかどうかは、それぞれの授業の担当教員が判断する。生成 AI の利用によって、教育目標の達成が大きく損なわれる授業においては、教員は受講生に生成 AI の利用を禁止・制限することができる。
Source: 千葉大学の教育・学習における生成 AI の利用についての指針

Localized display only

Generative AI use in class must align with class objectives; each instructor judges alignment and may prohibit or restrict use where it would significantly undermine educational objectives.

Source language: ja
Snapshot hash: 06a73425…
Retrieved: May 20, 2026
Evidence locator: Guideline item 2

Normalized value: generative_ai_not_uniformly_prohibited_teaching_learning

Last checked: May 20, 2026
Last changed: May 20, 2026

Original evidence

Evidence 1

千葉大学は生成 AI の教育・学習での利用を一律に禁止することはせず、その目的に応じて、「生成 AI についての学び」「生成 AI を用いた学び」「生成 AI によらない学び」をそれぞれ推進する。
Source: 千葉大学の教育・学習における生成 AI の利用についての指針

Localized display only

Chiba 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.

Source language: ja
Snapshot hash: 06a73425…
Retrieved: May 20, 2026
Evidence locator: Guideline item 1

Normalized value: ai_restrictions_should_be_stated_in_syllabus_or_handouts

Last checked: May 20, 2026
Last changed: May 20, 2026

Original evidence

Evidence 1

授業において生成 AI の利用を禁止・制限する際には、教員はその旨を当該授業のシラバス等に明記する。また、なぜ利用を禁止・制限するのかを受講生にわかりやすく説明することが望まれる。
Source: 千葉大学の教育・学習における生成 AI の利用についての指針

Localized display only

When prohibiting or restricting generative AI use in class, instructors should state that in the syllabus or similar materials and explain the reason clearly to students.

Source language: ja
Snapshot hash: 06a73425…
Retrieved: May 20, 2026
Evidence locator: Guideline item 3

Normalized value: instructors_should_consider_fairness_when_ai_allowed

Last checked: May 20, 2026
Last changed: May 20, 2026

Original evidence

Evidence 1

授業において学生に生成 AI の利用を認める場合には、外部サービス利用登録の有無、有料版か無料版かなどにより、成果物等に差が生まれ得るため、教員は公平性に配慮する。
Source: 千葉大学の教育・学習における生成 AI の利用についての指針

Localized display only

When allowing students to use generative AI in class, instructors should consider fairness because differences may arise depending on service registration or paid/free versions.

Source language: ja
Snapshot hash: 06a73425…
Retrieved: May 20, 2026
Evidence locator: Guideline item 6

Source record

Official sources

1 source

千葉大学の教育・学習における生成 AI の利用についての指針

drive.google.com

Source URL: https://drive.google.com/file/d/1ZultuLWXNLJ53M43ExrYG8cIfwqcCnCO/view
Snapshot hash: 06a73425…

Record information, JSON & citation

Reviewagent reviewedConfidence95%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "Chiba University AI Policy Tracker record." Last checked May 20, 2026. https://eduaipolicy.org/universities/chiba-university

Original university source language remains canonical. This tracker is not an official university statement.

Open change log

Chiba University

No reviewed summary yet

Reviewed claims

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 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.

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 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.

Official sources

千葉大学の教育・学習における生成 AI の利用についての指針