Kyoto, Japan Last checked Jul 19, 2026

Kyoto University

Independent · Open access · Not an official university page

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Can I use AI for my coursework?Conditions and evidence gaps Do I need to disclose AI use?Conditions and evidence gaps Can I upload sensitive data?Conditions and evidence gaps Which tools can I access?Conditions and evidence gaps

Use in ChatGPT ↗Before you submitAdvice and precautions Record updates ↓

Explore the current record by topic

Coursework

Conditions and evidence gaps

Follow the AI-use policy set by the course instructor or research supervisor for coursework, reports and theses.

Official source ↗

Exams

Conditions and evidence gaps

Check the instructor’s assessment rules; written or oral exams may be used to preserve fair grading in foundational courses.

Official source ↗

Disclosure

Conditions and evidence gaps

Record AI use beyond wording revisions and disclose it when required; submitting AI output as your own may be misconduct.

Official source ↗

Privacy and data

Conditions and evidence gaps

Do not casually enter private, confidential or copyrighted material; highly confidential information must not leave the university through AI services.

Official source ↗

Institutional tools

Conditions and evidence gaps

The record lists Gemini, NotebookLM and Microsoft 365 Copilot Chat for students, faculty and staff; individual service conditions still apply.

Official source ↗

Research and publication

Conditions and evidence gaps

For thesis writing follow your supervisor’s AI policy, keep use records and disclose when required; no general publication permission is inferred.

Official source ↗

Academic integrity

Conditions and evidence gaps

Using AI output in one’s own work may be judged misconduct; records and required disclosure matter.

Official source ↗

Teaching guidance

Conditions and evidence gaps

Instructors should explain their AI policy and preserve fair assessment, including suitable written/oral checks.

Official source ↗

Security and procurement

Conditions and evidence gaps

Highly confidential information that must remain inside the university must not be entered into GenAI services.

Official source ↗

Do

Follow your instructor’s or supervisor’s AI-use policy.
Requirement in this scope
Follow your instructor’s or supervisor’s AI-use policy.
Scope
Course instructors and research supervisors set the applicable rules for coursework, reports and theses; data restrictions apply separately.
Kyoto University tells students to follow the generative AI use policy set by the course instructor or research supervisor for coursework, reports, and thesis writing.
Original evidence and scope
Kyoto University tells students to follow the generative AI use policy set by the course instructor or research supervisor for coursework, reports, and thesis writing.
claim-kyoto-003
授業の履修（レポート執筆等を含む）や論文執筆に当たっては、担当教員・指導教員が示す生成AI利用方針に従うこと。
京都大学の教育・学修における生成AI利用に関するガイドライン, 4(1) 学生に求められる対応: 利用方針の遵守
Official university source ↗
Record AI use beyond wording revisions and disclose it when requested.
Requirement in this scope
Record AI use beyond wording revisions and disclose it when requested.
Scope
Course instructors and research supervisors set the applicable rules for coursework, reports and theses; data restrictions apply separately.
Kyoto University tells students to record and, when required, disclose how they used generative AI beyond wording revisions, and warns that using AI output in their own work may be judged misconduct.
Original evidence and scope
Kyoto University tells students to record and, when required, disclose how they used generative AI beyond wording revisions, and warns that using AI output in their own work may be judged misconduct.
claim-kyoto-002
文章表現の修正の枠を越えて生成AIを利用して成果物を作成する場合には、作業プロセスの記録を保存すること。求められる場合には、どの過程で、どの生成AIを、どのように使用したかを明示すること。AIの出力結果を自分の成果物に利用すると、他の文献等の剽窃（コピペ）となる可能性もあり、不正行為と判断される場合がある。
京都大学の教育・学修における生成AI利用に関するガイドライン, 4(1) 学生に求められる対応: 利用プロセスの明示
Official university source ↗
Check the access and use conditions of the listed university services.
Site advice
Check the access and use conditions of the listed university services.
Scope
Course instructors and research supervisors set the applicable rules for coursework, reports and theses; data restrictions apply separately.
Kyoto University lists Gemini, NotebookLM, and Microsoft 365 Copilot Chat as generative AI services available to students, faculty, and staff.
Original evidence and scope
Kyoto University lists Gemini, NotebookLM, and Microsoft 365 Copilot Chat as generative AI services available to students, faculty, and staff.
claim-kyoto-007
本ページでは、本学の教職員・学生の皆様が利用できる生成AI関連サービスや、生成AIの活用に関する情報サイトへのリンクを掲載しています。 ### Gemini 学生教員職員 ### NotebookLM 学生教員職員 ### Microsoft 365 Copilot Chat 学生教員職員
生成AI | 京都大学情報環境機構, サービス
Official university source ↗

Don’t

Do not enter highly confidential university information into GenAI.
Requirement in this scope
Do not enter highly confidential university information into GenAI.
Scope
Course instructors and research supervisors set the applicable rules for coursework, reports and theses; data restrictions apply separately.
Kyoto University states that highly confidential information that must not leave the university should not be entered into generative AI services.
Original evidence and scope
Kyoto University states that highly confidential information that must not leave the university should not be entered into generative AI services.
claim-kyoto-006
高い機密性が求められ、学外に出してはならない情報は、生成AIサービスであろうと、それ以外のサービスであろうと、学外へ流れるようなことがあってはなりません。そうした情報は、学外者とのメールに添付することが認められないのと同様に、生成AIサービスに利用することも認められません。
４．２外部生成AIサービスに入力する情報に対する留意点
Official university source ↗
Do not casually upload personal or copyrighted material.
Source guidance
Do not casually upload personal or copyrighted material.
Scope
Course instructors and research supervisors set the applicable rules for coursework, reports and theses; data restrictions apply separately.
Kyoto University warns students not to casually enter privacy-related information, confidential information, or copyrighted works into generative AI prompts or uploaded data.
Original evidence and scope
Kyoto University warns students not to casually enter privacy-related information, confidential information, or copyrighted works into generative AI prompts or uploaded data.
claim-kyoto-005
プライバシーに関連する情報、機密情報、著作物などをプロンプトやアップロードデータとして安易に入力することは避けること。また出力結果を利用するに当たっては、それが著作権、肖像権等を侵害するものでないか（他者の著作物や肖像等と類似していないか）を調査すること。
京都大学の教育・学修における生成AI利用に関するガイドライン, 4(1) 学生に求められる対応: 入出力上の注意
Official university source ↗
Do not assume AI output can be submitted as your own.
Site advice
Do not assume AI output can be submitted as your own.
Scope
Course instructors and research supervisors set the applicable rules for coursework, reports and theses; data restrictions apply separately.
Kyoto University tells students to record and, when required, disclose how they used generative AI beyond wording revisions, and warns that using AI output in their own work may be judged misconduct.
Original evidence and scope
Kyoto University tells students to record and, when required, disclose how they used generative AI beyond wording revisions, and warns that using AI output in their own work may be judged misconduct.
claim-kyoto-002
文章表現の修正の枠を越えて生成AIを利用して成果物を作成する場合には、作業プロセスの記録を保存すること。求められる場合には、どの過程で、どの生成AIを、どのように使用したかを明示すること。AIの出力結果を自分の成果物に利用すると、他の文献等の剽窃（コピペ）となる可能性もあり、不正行為と判断される場合がある。
京都大学の教育・学修における生成AI利用に関するガイドライン, 4(1) 学生に求められる対応: 利用プロセスの明示
Official university source ↗

AI use questioned?Investigation, possible outcomes and appeal

AI tools & access

No source-backed tool record has been established for this university yet. This does not mean AI tools are unavailable or prohibited.

Record updatesLast 90 days · Recorded updates: 3

Updates to this site's reviewed record, not confirmation that the university changed its policy.

2026-10-27Page update
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2026-10-25Record maintenance
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2026-10-25Record maintenance
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Reviewed claims

Official sources

3 official URLs; 4 source attributions and their captured versions retained.

京都大学の教育・学修におけるAIの利活用について

www.oei.kyoto-u.ac.jp

University official source

oei.kyoto-u.ac.jp

Hash and captured version

京都大学の教育・学修におけるAIの利活用について · 2026-05-12T15:30:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

a3384fe7b1a9f9929da3561d656788aff958e36cbbd41ef33d65d3fb9dd84899

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

生成AI | 京都大学情報環境機構

www.iimc.kyoto-u.ac.jp

University official source

iimc.kyoto-u.ac.jp

Hash and captured version

生成AI | 京都大学情報環境機構 · 2026-05-12T15:30:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

9b09652a65366efdf7bdcdfd3bc9a11b3f5f2a55eac497a691ece97d8329af03

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

生成AIサービスにおける情報セキュリティ上の注意点と学内の各種生成AIサービスについて

www.iimc.kyoto-u.ac.jp

University official source

iimc.kyoto-u.ac.jp

Hash and captured version

生成AIサービスにおける情報セキュリティ上の注意点と学内の各種生成AIサービスについて · 2026-07-15T22:06:43.896Z

Representation unspecified in this historical record; do not assume an original-file hash.

bf75529996c0fa8f0faf0bb5ddcc468ad0f5f284825919548380cb4700f7f16e

生成AIサービスにおける情報セキュリティ上の注意点と学内の各種生成AIサービスについて | 京都大学情報環境機構 · 2026-05-12T15:30:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

60f9fa8cbf494764eed529c81aaa42e709af37489f215c5f853a79ef9fc24436

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state: agent_reviewed
Analysis review state: machine_candidate
Record revision: public-release-20260924-002
Dataset release: public-release-20260924-002
Correction published: 2026-09-24T23:31:02.306Z
Student snapshot: Not published

Current reviewed JSON · Historical baseline

Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.

Institution-wide evidence audit remains PARTIAL. Supplementary quotations are not independently verified by this presentation release.
Current JSON and MCP retain the previous public Claim set. Local candidate corrections and held decisions remain private and pending review.
Source excerpts retain their declared capture limitations. Original official HTTP/PDF bytes were not verified by this release.
Institutional semantic audit remains PARTIAL. Student-facing display is derived from existing published Claims; no new institutional tool record, source verification or strong snapshot approval.

Current reviewed JSON

Questions students ask

Can I use AI for my coursework?

Follow the AI-use policy set by the course instructor or research supervisor for coursework, reports and theses.

View evidence →

Do I need to disclose AI use?

Record AI use beyond wording revisions and disclose it when required; submitting AI output as your own may be misconduct.

View evidence →

Can I upload sensitive data?

Do not casually enter private, confidential or copyrighted material; highly confidential information must not leave the university through AI services.

View evidence →

Which tools can I access?

The record lists Gemini, NotebookLM and Microsoft 365 Copilot Chat for students, faculty and staff; individual service conditions still apply.

View evidence →

What are the examination rules?

Check the instructor’s assessment rules; written or oral exams may be used to preserve fair grading in foundational courses.

View evidence →

What rules apply to research and publication?

For thesis writing follow your supervisor’s AI policy, keep use records and disclose when required; no general publication permission is inferred.

View evidence →

What counts as academic misconduct?

Using AI output in one’s own work may be judged misconduct; records and required disclosure matter.