Osaka, Japan

Osaka Metropolitan University

Osaka Metropolitan University has 2 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 2 reviewed claims. Last checked May 22, 2026.

Osaka Metropolitan University AI policy short answer

v1 public contract

Osaka Metropolitan University has 2 source-backed AI policy claims from 2 official source attributions, including 2 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: Osaka Metropolitan University is listed as QS 2026 rank 901-950.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Osaka Metropolitan University as an agent-reviewed AI policy record last checked on May 22, 2026 and last changed on May 22, 2026. The record contains 2 source-backed claims, including 2 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/osaka-metropolitan-university.json. The entity-level confidence is 90%. 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 coverage2 reviewedSource languagejaPublic JSON/api/public/v1/universities/osaka-metropolitan-university.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims2Reviewed2Candidate0Official 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 score40/100Coverage labelpartial public coverageReview: Machine candidateAnalysis confidence76%

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.

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI disclosure

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

No source-backed public claim about privacy or data-entry restrictions is present in this profile.

The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

No source-backed public claim about academic-integrity treatment of AI use is present in this profile.

The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.

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

2 reviewed evidence-backed public claim

Ai Tool Treatment

Osaka Metropolitan University's student generative-AI guideline recommends using generative AI to deepen learning or research and improve efficiency, while following any restrictions or prohibitions given by course or research supervisors.

Review: Agent reviewedConfidence90%

Normalized value: student_guideline_recommends_responsible_ai_use_subject_to_instructor_limits

Original evidence

Evidence 1
本学での学びや研究を自分自身で深めたい場合や、学習効率・研究効率を高めたい場合に、生成AIを 活用することを、本学としては推奨します。 ただし、授業担当教員や研究指導教員から、生成AIの利用制限や禁止が指示されている場合は、その指示に従ってください。

Localized display only

The guideline recommends using generative AI to deepen learning/research or improve efficiency, while following any course or research supervisor restrictions.

Teaching

Osaka Metropolitan University's faculty guide says instructors need to judge and explain to students the permitted scope of AI-tool use for assignments such as reports.

Review: Agent reviewedConfidence86%

Normalized value: faculty_judges_and_explains_assignment_ai_use_scope

Original evidence

Evidence 1
課題レポート作成などでの使用をどこまで認めるか教員が判断し、学生に伝えるということが必要です。

Localized display only

The faculty guide says instructors need to decide how far to permit AI-tool use for assignments such as reports and communicate that to students.

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 22, 2026Last changedMay 22, 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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