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.
Kobe City, Japan
Kobe University is listed as QS 2026 rank =482. Kobe University has 3 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
Kobe University is listed as QS 2026 rank =482. Kobe University has 3 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 Kobe University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 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/kobe-university.json. The entity-level confidence is 92%. 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.
Kobe University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Kobe University has 2 source-backed public claims for coursework; deterministic analysis status: blocked.
Kobe University has 2 source-backed public claims for exams; deterministic analysis status: blocked.
Kobe University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Kobe University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Kobe University has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.
Kobe University has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus 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.
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.
3 reviewed evidence-backed public claim
Academic Integrity
Normalized value: generative AI output used unchanged in reports may be treated as plagiarism
Original evidence
Evidence 1●作成された文章をそのままレポート等の一部分または全体に利用した場合は、「剽窃」とみなされることがあります。
Localized display only
Using generated text unchanged as part or all of a report may be regarded as plagiarism.
Ai Tool Treatment
Normalized value: some classes may restrict or prohibit generative AI use
Original evidence
Evidence 1●授業によっては生成AIの使用自体を制限・禁止する場合があります。
Localized display only
Some classes may restrict or prohibit the use of generative AI itself.
Privacy
Normalized value: do not input highly confidential or personal information into generative AI because of leakage risk
Original evidence
Evidence 1●機密性の高い情報や個人情報などを生成AIに入力することで、それらの情報が流出・漏洩する可能性があります。
Localized display only
Entering highly confidential or personal information into generative AI may lead to leakage or disclosure.
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
kobe-u.ac.jp
kobe-u.ac.jp
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.
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.