Policy presence
Tokyo Institute of Technology (Tokyo Tech) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Tokyo, Japan
Tokyo Institute of Technology (Tokyo Tech)
Tokyo Institute of Technology (Tokyo Tech) is listed as QS 2026 rank 85. Tokyo Institute of Technology (Tokyo Tech) has 7 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
Tokyo Institute of Technology (Tokyo Tech) is listed as QS 2026 rank 85. Tokyo Institute of Technology (Tokyo Tech) has 7 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 Tokyo Institute of Technology (Tokyo Tech) as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 7 source-backed claims, including 7 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/tokyo-institute-of-technology.json. The entity-level confidence is 97%. 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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Source status claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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
Tokyo Institute of Technology (Tokyo Tech) has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Tokyo Institute of Technology (Tokyo Tech) has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Tokyo Institute of Technology (Tokyo Tech) has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Tokyo Institute of Technology (Tokyo Tech) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
Tokyo Institute of Technology (Tokyo Tech) has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Approved tools
Tokyo Institute of Technology (Tokyo Tech) has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Tokyo Institute of Technology (Tokyo Tech) has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Tokyo Institute of Technology (Tokyo Tech) has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Tokyo Institute of Technology (Tokyo Tech) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
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
7 reviewed evidence-backed public claim
Privacy
Science Tokyo's guideline says users should not enter required-confidential information, personal information, or similar data into terms-of-service external generative AI services; it states that entering required-confidential or personal information into free external generative AI services is prohibited.
Review: Agent reviewed
Normalized value: do not input confidential or personal information into external generative AI services
Original evidence
Evidence 1無償の外部生成 AI サービス（例︓無料版 ChatGPT、DALL-E、Stable Diffusion など）はセキュリティ面で十分な保証がなく、要機密情報や個人情報の入力は禁止されています。約款型外部サービスの生成 AI を利用する際には、無償版、有償版を問わず、原則として要機密情報、個人情報などは入力しないでください。
Localized display only
The guideline prohibits entering confidential or personal information into free external GenAI services and says users should not enter such information into terms-of-service external GenAI services.
Source Status
The official Science Tokyo site says Institute of Science Tokyo opened on October 1, 2024 following the merger between Tokyo Medical and Dental University and Tokyo Institute of Technology.
Review: Agent reviewed
Normalized value: Institute of Science Tokyo is the post-merger institution for Tokyo Institute of Technology sources.
Original evidence
Evidence 1Institute of Science Tokyo (Science Tokyo) opened its doors on October 1, 2024, following the merger between Tokyo Medical and Dental University and Tokyo Institute of Technology, and Naoto Ohtake began his duties as the inaugural president and chief executive officer (CEO).
Ai Tool Treatment
In education, Science Tokyo's guideline says the university does not totally restrict learners' use of generative AI; the permitted degree of use, including whether it is banned, is left to course objectives, course content, and instructor teaching and assessment policies, and students should follow instructor instructions.
Review: Agent reviewed
Normalized value: conditional course-level generative AI permission
Original evidence
Evidence 1本学は、学習者が生成 AI を利用することを全面的には制限せず、これと共存する方針を宣言します。生成 AI の使用が許される程度(禁止の有無を含む)は、授業の到達目標や内容、授業担当教員の指導方針・成績評価方針などに委ねられます。授業担当教員の指示に従ってください。
Localized display only
The guideline says learner use is not totally restricted, course-level permission depends on course and instructor policy, and students should follow instructor instructions.
Academic Integrity
Science Tokyo's guideline says users bear final responsibility for their generative AI use and should verify the authenticity of generated data or responses; it characterizes handing everything to generative AI and accepting its output uncritically in contexts requiring one's own thinking, consideration, or judgment as extremely inappropriate and impermissible.
Review: Agent reviewed
Normalized value: user responsibility and authenticity verification for generative AI outputs
Original evidence
Evidence 1生成 AI の利用にあたっては、利用者はその利用内容に対して最終的な責任を負うことを自覚し、必ず生成されたデータや回答等の生成物の真正性を確認してください。利用者自身の思考、考察、判断などが求められる場面において、生成 AI にすべて丸投げし鵜呑みにするような利用（レポート作成または評価、感想、所感などを生成させることなど）は、甚だ不適切であり許される行為ではありません。
Localized display only
The guideline says users bear final responsibility, should verify GenAI output authenticity, and that fully delegating thinking or judgment tasks to GenAI is inappropriate and impermissible.
Teaching
For courses, Science Tokyo's guideline asks instructors to teach students about generative AI limitations, consider assessment methods, and promptly reflect a course AI-use policy in the syllabus when the policy can be clearly stated.
Review: Agent reviewed
Normalized value: instructor guidance and syllabus reflection for course AI-use policies
Original evidence
Evidence 1生成 AI は誤った情報を出力することがあり、一方で個人の未発表の情報を入力しても削除できません。生成 AI の限界についてご指導ください。授業における学習者の発言や提出されたレポート、プロダクトにおいて、生成 AI がどの程度活用されたかを判断することは困難です。学習の評価方法についてご配慮ください。生成 AI の使用に対する授業方針が固まり、その明文化が可能な場合は、速やかにシラバスへの反映をお願いいたします。
Localized display only
The guideline asks instructors to teach GenAI limitations, consider assessment methods, and promptly reflect clearly stated course AI-use policies in syllabi.
Ai Tool Treatment
Science Tokyo's generative AI guideline says it sets out policies and precautions to promote appropriate and safe use of generative AI at the university, and expects all faculty, staff, and students to understand generative AI and use it under appropriate judgment.
Review: Agent reviewed
Normalized value: current university-wide generative AI guideline scope
Original evidence
Evidence 1本ガイドラインは、東京科学大学における生成 AI の適切かつ安全な利用を促進するための方針と注意事項を示しています。これらの正しい知識を得ることにより、すべての教職員、学生が生成 AI 全般に対する理解を深め、適切な判断のもとに利用することを期待します。
Localized display only
The guideline states that it sets Science Tokyo policies and precautions for appropriate and safe use of GenAI, and expects all faculty, staff, and students to use it under appropriate judgment.
Research
For research papers, Science Tokyo's guideline says journal views on generative AI use differ and individual handling is needed, including cases where the fact of use should be disclosed; it also says researchers are responsible for text and content they use in their papers.
Review: Agent reviewed
Normalized value: research paper generative AI disclosure and author responsibility
Original evidence
Evidence 1生成 AI の研究論文作成などへの利用に関し、利用の是非や、利用の事実を明記すべきかなどの議論がなされています。学術誌によって生成 AI の利用に対する見解が異なっている点に十分留意する必要があります。生成 AI を研究論文等の作成に利用する際は、その文章、内容を自らの研究論文等に用いた場合、研究論文等における責任は自ら負う必要があることを十分認識すべきです。
Localized display only
The guideline says journals differ on GenAI use and disclosure, and researchers should recognize that they are responsible for text and content used in research papers.
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
Institute of Science Tokyo established on October 1, 2024
isct.ac.jp
将来構想と方針 | Science Tokyo - 東京科学大学
isct.ac.jp
東京科学大学 生成 AI 利用ガイドライン
isct.ac.jp
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.
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.