Fukuoka City, Japan

Kyushu University

Kyushu University is listed as QS 2026 rank =170. Kyushu 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

Kyushu University is listed as QS 2026 rank =170. Kyushu 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.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Kyushu University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/kyushu-university.json. The entity-level confidence is 97%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage7 reviewedSource languagejaPublic JSON/api/public/v1/universities/kyushu-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Named AI services detected in public claims: ChatGPT.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
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 confidence82%

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.

Privacy and data entry

Kyushu University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence82%Evidence1Sources1

Approved tools

Kyushu University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

Kyushu University's basic stance says students should check in advance whether use of generative AI output is permitted for papers or works, and if permitted, should clearly indicate AI use or AI quotation.

Review: Agent reviewedConfidence97%

Normalized value: check_permission_and_disclose_ai_use_or_ai_quotation_when_allowed

Original evidence

Evidence 1
論文や作品の提出等にあたり、生成AIによる生成物の使用が認められているかを予め確認する。認められている場合であっても、生成AIを利用した成果物には、AIを利用した旨やAIから引用している旨を明示する。

Localized display only

For papers or works, check in advance whether use of generative AI output is permitted; even when permitted, clearly indicate AI use or AI quotation.

Teaching

Kyushu University's basic stance says course instructors may set generative AI use rules for individual classes according to each program or course objective, and should indicate those rules to students, such as in the syllabus.

Review: Agent reviewedConfidence97%

Normalized value: instructors_may_set_class_ai_rules_and_indicate_them_in_syllabus

Original evidence

Evidence 1
授業担当教員は、本学の教育目的(教育憲章 第2条)も踏まえつつ、個々の教育プログラムの学修目的、あるいは授業の目的に照らし、それぞれの授業の中で、個々に生成AIの使用ルールを定めることができるものとします。個々の授業において定められた使用ルールについて、授業担当教員は、シラバスなどで学生にその内容を明示するものとします。

Localized display only

Instructors may set AI use rules for individual classes according to program or course objectives, and should indicate those rules to students, such as in the syllabus.

Privacy

Kyushu University's basic stance cautions users not to carelessly enter personal, privacy-related, or confidential information into generative AI, and not to carelessly use outputs containing such information.

Review: Agent reviewedConfidence96%

Normalized value: do_not_carelessly_enter_personal_privacy_or_confidential_information

Original evidence

Evidence 1
生成AIに個人情報やプライバシーに関する情報、機密情報をみだりに入力しない。また、AIの生成物にそれらの情報が含まれていた場合、その生成物はみだりに利用しない。

Localized display only

Do not carelessly enter personal, privacy-related, or confidential information into generative AI; do not carelessly use outputs containing such information.

Teaching

Kyushu University's teacher-facing guidance says that when generative AI use is allowed, instructors should direct students to state quoted AI output, the AI service name, and version, and may request prompts and outputs.

Review: Agent reviewedConfidence96%

Normalized value: teachers_should_instruct_disclosure_of_ai_output_service_version_and_may_request_prompts

Original evidence

Evidence 1
生成AIの利活用を認める場合、学生がレポート等で生成AIを利用した場合に、生成AIの出力を引用した箇所や生成AIサービスの名称、バージョンを明記するよう指導する。授業の内容によっては、生成AIへの指示文(プロンプト)及びそれに対する出力結果(複数のやり取りをしている場合はその一連の過程)の提出を求めることも考えられる。

Localized display only

When AI use is allowed, instructors should guide students to state quoted AI output, the AI service name, and version; depending on the class, prompts and outputs may be requested.

Teaching

Kyushu University's teacher-facing guidance says AI writing detector results should be treated only as a reference, and suspected AI writing should be judged after giving the student a chance to explain and investigating the situation.

Review: Agent reviewedConfidence96%

Normalized value: ai_writing_detector_results_reference_only_student_explanation_before_judgment

Original evidence

Evidence 1
令和5年9月現在、文章を生成AIが作成したのかを確実に検出する術はないとされる。このため、検出ソフトを使用する場合、その結果は参考程度に留める。AIライティング(AIを用いて文章を作成したこと)が疑われる場合は、学生に説明の機会を与え、状況を詳しく調査してから判断を下す。

Localized display only

As of September 2023, there is said to be no certain way to detect whether text was created by generative AI; detector results should be reference only, and suspected cases should be investigated after giving the student a chance to explain.

Ai Tool Treatment

Kyushu University's student first report says ChatGPT and similar AI use in education should not simply be prohibited, but students should confirm course rules in the syllabus or with the instructor.

Review: Agent reviewedConfidence95%

Normalized value: ai_use_not_simply_banned_students_confirm_course_rules

Original evidence

Evidence 1
九州大学の教育においては、ChatGPT 等の使用は単純に禁止するのではなく、それらの新しい技術を上手く活用して、自ら学び、新しい価値を創造する姿勢を育むことが望ましいと考えています。授業におけるChatGPT 等の使用ルールをシラバスや担当教員に聞くなどしてしっかりと確認しましょう。

Localized display only

In Kyushu University's education context, use of ChatGPT and similar tools is not simply prohibited; students should confirm course rules in the syllabus or with the instructor.

Academic Integrity

Kyushu University's student first report warns that submitting copied-and-pasted AI-generated text as a report assignment may constitute misconduct, depending on class or practical-training rules.

Review: Agent reviewedConfidence94%

Normalized value: copy_pasted_ai_text_as_report_may_be_misconduct_by_course_rules

Original evidence

Evidence 1
ChatGPT 等が生成した文章をコピー&ペーストしたものをそのままレポート課題として提出すると、不正行為になることもあります(授業や実習等によってルールが異なります)。

Localized display only

Submitting copied-and-pasted text generated by ChatGPT or similar tools as a report assignment may constitute misconduct, depending on class or practical-training rules.

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

ChatGPT などの人工知能の講義・実習における活用について(第1報)

mirai.kyushu-u.ac.jp

Snapshot hash
cad7eda9f02dd17c205d2473f486380f72714c4a5c81446926d366d8bc77a33f

九州大学の教育における生成AIの利活用に関する基本姿勢

mirai.kyushu-u.ac.jp

Snapshot hash
e65e013beb35b59420b288e9d9fce3146ee694466c85eb87310832a89f5c160c

九州大学の教育における生成AI利活用の注意点~教員向け~

mirai.kyushu-u.ac.jp

Snapshot hash
04b4298daf2d6ae6beeed01e0a9f94bdb248c0a4ee9fd4a976b8fe564cfab8de

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 15, 2026Last changedMay 15, 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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