Kyoto, Japan

Kyoto University

Kyoto University is listed as QS 2026 rank 57. Kyoto University has 7 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Kyoto University is listed as QS 2026 rank 57. Kyoto University has 7 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims7Reviewed7Candidate0Official sources3

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

AI disclosure

Kyoto University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence81%Evidence1Sources1

Privacy and data entry

Kyoto University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence81%Evidence2Sources2

Academic integrity

Kyoto University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence81%Evidence2Sources1

Approved tools

Kyoto University has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.

BlockedMachine candidateConfidence79%Evidence2Sources2

Named AI services

Kyoto University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence2Sources2

Research guidance

Kyoto University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence82%Evidence1Sources1

Security and procurement

Kyoto University has 1 source-backed public claim for security and procurement; deterministic analysis status: blocked.

BlockedMachine candidateConfidence82%Evidence1Sources1

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

7 reviewed evidence-backed public claim

Academic Integrity

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.

Review: Agent reviewedConfidence96%

Normalized value: students_follow_instructor_or_supervisor_ai_policy

Original evidence

Evidence 1
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。

Localized display only

Students must follow the generative AI use policy indicated by their instructor or supervisor for coursework and thesis writing.

Security Review

Kyoto University states that highly confidential information that must not leave the university should not be entered into generative AI services.

Review: Agent reviewedConfidence96%

Normalized value: do_not_enter_high_confidentiality_information_into_external_genai

Original evidence

Evidence 1
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。

Localized display only

Highly confidential information that must not leave the university must not be used with generative AI services.

Academic Integrity

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.

Review: Agent reviewedConfidence95%

Normalized value: student_ai_process_disclosure_and_misconduct_warning

Original evidence

Evidence 1
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。

Localized display only

Students are told to keep records of AI use beyond wording edits, disclose use if required, and note that using AI output may be judged misconduct.

Privacy

Kyoto University warns students not to casually enter privacy-related information, confidential information, or copyrighted works into generative AI prompts or uploaded data.

Review: Agent reviewedConfidence95%

Normalized value: avoid_privacy_confidential_copyright_inputs

Original evidence

Evidence 1
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。

Localized display only

Students are told to avoid casually entering privacy-related, confidential, or copyrighted material into prompts or uploads.

Teaching

Kyoto University has adopted an education and learning AI initiative intended to support responsible generative AI use by faculty, staff, and students while minimizing learning risks.

Review: Agent reviewedConfidence94%

Normalized value: official_education_learning_ai_initiative

Original evidence

Evidence 1
本イニシアティブは、教職員と学生が生成AIを責任ある形で教育・学修に活用し、様々な課題の解決に貢献できる能力を高める環境を整えることを目的とする。

Localized display only

The initiative says it aims to create an environment where faculty, staff, and students can use generative AI responsibly in education and learning.

Teaching

Kyoto University expects instructors to state their generative AI use policy to students and, for courses focused on basic knowledge or skills, to preserve grading fairness through checks such as written or oral examinations.

Review: Agent reviewedConfidence94%

Normalized value: instructor_ai_policy_and_assessment_fairness_guidance

Original evidence

Evidence 1
授業や研究指導の目標に応じて、生成AIの利用方針を学生に明示する(例:「積極的に利用する」「利用を一部認める」「利用を認めない」)。基本的な教養や専門的知識・スキルの修得が目標の科目では、生成AIを安易に使う学生が有利にならないよう、筆記試験や口頭試問などで理解度を確認する。

Localized display only

Instructors are expected to state AI-use policies and use checks such as written or oral examinations where needed for fairness.

Ai Tool Treatment

Kyoto University lists Gemini, NotebookLM, and Microsoft 365 Copilot Chat as generative AI services available to students, faculty, and staff.

Review: Agent reviewedConfidence90%

Normalized value: listed_student_faculty_staff_genai_services

Original evidence

Evidence 1
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

Localized display only

The IIMC page lists Gemini, NotebookLM, and Microsoft 365 Copilot Chat for students, faculty, and staff.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

3 source attribution

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

iimc.kyoto-u.ac.jp

Snapshot hash
60f9fa8cbf494764eed529c81aaa42e709af37489f215c5f853a79ef9fc24436

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 12, 2026Last changedMay 12, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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