Sendai City, Japan

Tohoku University

Tohoku University is listed as QS 2026 rank 109. Tohoku University has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Tohoku University is listed as QS 2026 rank 109. Tohoku University has 6 source-backed AI policy claim records from 3 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 Tohoku University as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/tohoku-university.json. The entity-level confidence is 91%. 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 languagejaPublic JSON/api/public/v1/universities/tohoku-university.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes Teaching claims.
  • Evidence includes Source status 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.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources3

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 score85/100Coverage labelbroad 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.

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

Approved tools

Tohoku University has 1 source-backed public claim for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

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

Ai Tool Treatment

Tohoku University's student-facing Online Class Guide says students need to confirm generative AI use, including whether it is allowed, with the instructor for each class.

Review: Agent reviewedConfidence91%

Normalized value: course_instructor_confirmation_required

Original evidence

Evidence 1
ChatGPTをはじめとする生成系AIの利用については、授業ごとに、使用の可否も含めて担当教員に確認の上で行う必要がありますが、このページでは、学生が生成系AIを利用する際の注意点について説明します。

Localized display only

Students need to check with the instructor for each class, including whether generative AI use is allowed.

Academic Integrity

The same student guidance says some classes may prohibit or limit generative AI use and that students should follow the instructor's instructions.

Review: Agent reviewedConfidence90%

Normalized value: course_specific_prohibition_or_limits_possible

Original evidence

Evidence 1
授業によっては、生成系AIの使用を禁止したり限定したりする場合があります。生成系AIの使用については、担当教員の指示に従ってください。

Localized display only

Some classes may prohibit or limit generative AI use; students should follow the instructor's instructions.

Privacy

Tohoku University's generative AI guidance cautions that unpublished research results, confidential information, entrance-exam information, and student or staff personal information can be exposed to service providers or other users through generative AI and translation services.

Review: Agent reviewedConfidence90%

Normalized value: confidential_and_personal_information_caution

Original evidence

Evidence 1
機密情報についても同じことが言えます。入試に関する情報や学生・教職員の個人情報など、外部に漏らしてはならない情報が、生成系AIなどを通じてサービス提供事業者に伝わってしまうリスクや、他の利用者への回答として提示されてしまうリスクがあることを知っておく必要があります。

Localized display only

The guidance warns that confidential information, entrance-exam information, and student or staff personal information may be transmitted to service providers or shown to other users through generative AI.

Teaching

The student guidance warns that generative AI output can contain errors and says students need to check for themselves whether AI output is correct.

Review: Agent reviewedConfidence88%

Normalized value: students_should_verify_ai_output

Original evidence

Evidence 1
調べ学習等で使用する場合も、AIの出力には誤りが混ざっていることも少なくなく、AIの出力が正しい内容か、誤った内容なのか、自身でしっかり確認する必要がある

Localized display only

When using AI for research-style learning, students need to check whether the AI output is correct because errors are often mixed in.

Teaching

Tohoku University's staff-facing guidance suggests instructors consider, according to each class, whether to partially prohibit, warn about, or use generative AI; it presents these as examples rather than a single mandatory rule.

Review: Agent reviewedConfidence88%

Normalized value: instructor_discretion_response_options

Original evidence

Evidence 1
教員自らが、生成系AIに何ができて何ができないのかを知った上で、生成系AIとどう向き合うべきかを考え、部分的に禁止するなり注意喚起するなり活用していくなりするのがよいのではないかと思われます。例えば、多くの学生が使用することも想定した上で、必要に応じて以下のような対策を講じることが考えられます。

Localized display only

The page suggests instructors understand AI capabilities and limits and consider partial prohibition, warnings, or use as appropriate.

Source Status

Tohoku University's public DX Navigation page lists a generative AI service guide for staff, but the linked guide is a Google Site that requires Tohoku email Google-account sign-in; this staged crawl did not access the restricted content.

Review: Agent reviewedConfidence84%

Normalized value: public_dx_page_lists_login_gated_genai_service_guide

Original evidence

Evidence 1
※一部ページは学内限定アクセスとなります。また、Googleサイトについては、東北大メールアドレスのGoogleアカウントでログインする必要があります。生成AI 本学で利用可能な生成AIサービスについて

Localized display only

The public DX page says some pages are campus-limited, Google Sites require a Tohoku email Google account, and it links to a generative AI services guide.

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

3 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 14, 2026Last changedMay 14, 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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