Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Open, evidence-backed AI policy records for public reuse.
Nagasaki City, Japan
Nagasaki University has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 22, 2026.
v1 public contract
Nagasaki University has 4 source-backed AI policy claims from 2 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 22, 2026. Discovery context: Nagasaki University is listed as QS 2026 rank 901-950.
As of this public record, University AI Policy Tracker lists Nagasaki University as an agent-reviewed AI policy record last checked on May 22, 2026 and last changed on May 22, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/nagasaki-university.json. The entity-level confidence is 94%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Nagasaki University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Nagasaki University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Nagasaki University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Nagasaki University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Nagasaki University has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Nagasaki University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Nagasaki University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Nagasaki University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
4 reviewed evidence-backed public claim
Academic Integrity
Normalized value: no_generative_ai_content_diversion_in_reports_theses
Original evidence
Evidence 1本学においては,レポートや学位論文等の作成に生成系 AI から得た内容を流用することは不可としま す。違反があった場合は,成績評価点をゼロにするなどの厳格な対応を授業担当教員の判断で行うことと します。
Localized display only
At Nagasaki University, diverting content obtained from generative AI into reports or degree theses is not allowed; instructors may take strict measures such as assigning a zero grade.
Privacy
Normalized value: avoid_confidential_personal_unpublished_information_in_ai_inputs
Original evidence
Evidence 1(4) 未発表の論文や秘密にすべき情報(個人情報やプライバシー情報等)を生成系 AI に入力してしまうと、 それらの情報が意図せずに流出・漏えいしてしまう可能性がある。サイバーセキュリティの観点からも 大いに注意が必要である。
Localized display only
Entering unpublished papers or confidential information, including personal and privacy information, into generative AI may unintentionally cause information outflow or leakage.
Teaching
Normalized value: students_follow_instructor_instructions_for_ai_use
Original evidence
Evidence 1さらに,下記について十分な注意を払うとともに,授業等でのその利用については授業担当教員の指示 に従ってください。
Localized display only
Students are asked to pay careful attention to the listed points and follow the course instructor's instructions when using generative AI in classes and similar settings.
Ai Tool Treatment
Normalized value: students_responsible_for_confirming_accuracy_of_ai_outputs
Original evidence
Evidence 1(2) 調べ学習等で使用する場合に誤りが含まれていることも少なくなく,自己責任のもとで正確な情報の 確認が必要となる。
Localized display only
When using generative AI for research or inquiry, outputs often include errors, and students need to confirm accurate information under their own responsibility.
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.
2 source attribution
nagasaki-u.ac.jp
nagasaki-u.ac.jp
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