Higashihiroshima City, Japan

Hiroshima University

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.

Short answer

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.

Citation-ready summary

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.

Claim coverage6 reviewedSource languageen, jaPublic JSON/api/public/v1/universities/hiroshima-university.json

Policy signals in this record

  • Evidence includes Source status claims.
  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity 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 claims6Reviewed6Candidate0Official sources2

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 confidence77%

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

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

RestrictedMachine candidateConfidence77%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

6 reviewed evidence-backed public claim

Source Status

Hiroshima University has an official 23 May 2023 page setting out its policy on use of generative AI, including ChatGPT, in educational activities.

Review: Agent reviewedConfidence95%

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

Hiroshima University tells course and thesis supervisors to judge whether generative AI may be used in classes or assignments and explain that decision to students through syllabi, guidance, or similar channels.

Review: Agent reviewedConfidence91%

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

Where generative AI use is allowed, Hiroshima University's policy says students should be told that using AI output as-is may amount to copyright infringement or plagiarism, and that any use or quoted output should be made clear in reports and similar assignments.

Review: Agent reviewedConfidence91%

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

Where generative AI use is allowed, Hiroshima University's policy says students should be warned that AI use can lead to leakage of personal or confidential information and that generated outputs may be incorrect.

Review: Agent reviewedConfidence91%

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

Hiroshima University's basic policy frames student use of generative AI in coursework around students identifying problems and considering solutions themselves, while users understand AI's mechanisms, benefits, risks, and changing literacy requirements.

Review: Agent reviewedConfidence90%

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

Hiroshima University's policy says teaching staff should revise teaching methods, content, assignments, and evaluation criteria when needed and evaluate student performance appropriately in light of generative AI use.

Review: Agent reviewedConfidence88%

Normalized value: revise_assignments_and_evaluation_criteria_when_needed

Original evidence

Evidence 1
4) 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.

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

2 source attribution

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 16, 2026Last changedMay 16, 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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