Kagurazaka, Japan

Tokyo University of Science

Tokyo University of Science has 3 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 3 reviewed claims. Last checked May 20, 2026.

Tokyo University of Science AI policy short answer

v1 public contract

Tokyo University of Science has 3 source-backed AI policy claims from 1 official source attribution, including 3 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 20, 2026. Discovery context: Tokyo University of Science is listed as QS 2026 rank 801-850.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Tokyo University of Science as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/tokyo-university-of-science.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.

Claim coverage3 reviewedSource languagejaPublic JSON/api/public/v1/universities/tokyo-university-of-science.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official sources1

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 score45/100Coverage labelpartial 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.

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

Approved tools

Tokyo University of Science has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence77%Evidence1Sources1

Named AI services

Tokyo University of Science has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.

UnclearMachine candidateConfidence77%Evidence1Sources1

Teaching guidance

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

3 reviewed evidence-backed public claim

Academic Integrity

Tokyo University of Science's student message says direct use of generative AI answers in papers or reports should be avoided.

Review: Agent reviewedConfidence92%

Normalized value: avoid_direct_use_in_papers_reports

Original evidence

Evidence 1
論文、レポートなどの記述に生成系AIの回答をそのまま利用することは避けるべきです。

Localized display only

The message says direct use of generative AI answers in papers, reports, and similar writing should be avoided.

Academic Integrity

Tokyo University of Science's student message warns students to recognize risks including inaccuracy, plagiarism, information leakage, and inhibited learning effects when deciding whether and how to use generative AI.

Review: Agent reviewedConfidence91%

Normalized value: caution_plagiarism_information_leakage_learning_risks

Original evidence

Evidence 1
しかし、回答がそもそも不正確である可能性が否定できないこと、不用意に利用すると剽窃や情報流出、学習効果の阻害などのリスクがあることを認識し、利用の可否を含めた慎重な判断が必要です。

Localized display only

The message says students need careful judgment, including whether to use generative AI, because answers may be inaccurate and careless use carries risks such as plagiarism, information leakage, and inhibited learning.

Ai Tool Treatment

Tokyo University of Science's April 2023 student message says the university is not currently considering a blanket ban on students using generative AI.

Review: Agent reviewedConfidence90%

Normalized value: not_blanket_banned_currently

Original evidence

Evidence 1
こうした問題のある一方で、問題解決に当たって参考になる回答が生成されることも少なくないことから、本学においては学生が生成系AIを利用することを全面的に禁止することは現時点では考えていません。

Localized display only

The university states that, while there are issues, it is not currently considering a blanket ban on students using generative AI.

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

1 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 20, 2026Last changedMay 20, 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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