Policy presence
Hiroshima University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Higashihiroshima City, Japan
Hiroshima University is listed as QS 2026 rank =480. Hiroshima University has 6 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Hiroshima University is listed as QS 2026 rank =480. Hiroshima University has 6 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Hiroshima University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 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/hiroshima-university.json. The entity-level confidence is 95%. 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.
Hiroshima University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hiroshima University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Hiroshima University has 4 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Hiroshima University has 4 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Hiroshima University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Hiroshima University has 1 source-backed public claim for academic integrity; deterministic analysis status: allowed.
Hiroshima University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Hiroshima University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Hiroshima University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
6 reviewed evidence-backed public claim
Source Status
Normalized value: official_generative_ai_education_policy_page_found
Original evidence
Evidence 1### (2023.5.23) 本学の教育活動における生成AI(ChatGPT等)の利用方針 理事・副学長(教育・平和担当) 鈴木 由美子
Localized display only
(2023.5.23) Policy on Generative AI (including ChatGPT) in Education at Hiroshima University, by Executive Vice President Suzuki Yumiko.
Original evidence
Evidence 2(2023.5.23) Policy on Generative AI (including ChatGPT) in Education at Hiroshima University SUZUKI Yumiko Executive Vice President (Education and Peace), Hiroshima University
Localized display only
Official English mirror identifies the same 23 May 2023 Hiroshima University education policy.
Teaching
Normalized value: instructor_level_permission_and_student_instruction
Original evidence
Evidence 1授業担当教員や指導教員は、以下の点に留意して授業等を実施する。 1) 授業内やレポート等の課題作成における利用の可否について適切に判断し、シラバスやガイダンス等で学生へ説明する。
Localized display only
Course and thesis supervisors should decide whether generative AI may be used in classes or assignments and explain that decision to students in the syllabus or guidance.
Academic Integrity
Normalized value: warn_about_plagiarism_copyright_and_disclose_use
Original evidence
Evidence 1利用を可とする場合は、学生に対して、生成AIの出力結果をそのまま利用することが著作権侵害や剽窃にあたる可能性があること、個人情報や機密情報の漏洩につながること、出力結果が誤っている可能性があるなどの留意点を十分に伝え、細心の注意を払って利用するよう指導する。
Localized display only
If use is permitted, students should be told that using generative AI output as-is may be copyright infringement or plagiarism, may leak personal or confidential information, and may be incorrect.
Privacy
Normalized value: warn_about_personal_confidential_information_and_incorrect_outputs
Original evidence
Evidence 1個人情報や機密情報の漏洩につながること、出力結果が誤っている可能性があるなどの留意点を十分に伝え、細心の注意を払って利用するよう指導する。
Localized display only
The policy says students should be warned that generative AI use can leak personal or confidential information and that outputs may be incorrect.
Ai Tool Treatment
Normalized value: permitted_with_self_directed_learning_and_literacy_expectations
Original evidence
Evidence 1大学での学びは、自らで課題を発見し、自分自身で解決策を考え、そして行動することが基本であり、学生が授業においてChatGPT等の生成AIをレポート等の課題作成に利用する場合には、このことを念頭に置く必要がある。
Localized display only
University learning is based on students identifying problems and considering solutions themselves; students using ChatGPT or similar generative AI for assignments should keep that in mind.
Teaching
Normalized value: revise_assignments_and_evaluation_criteria_when_needed
Original evidence
Evidence 14) 必要に応じて授業の方法や内容、課題、評価基準等を見直し、より効果的な授業実施に努めるとともに、適切に成績評価を行う。
Localized display only
Teaching staff should revise teaching methods, content, assignments, and evaluation criteria as needed and evaluate student performance appropriately.
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
momiji.hiroshima-u.ac.jp
momiji.hiroshima-u.ac.jp
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