Policy presence
Keio University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Tokyo, Japan
Keio University
Keio University is listed as QS 2026 rank =215. Keio University has 10 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
Keio University is listed as QS 2026 rank =215. Keio University has 10 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 Keio University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 10 source-backed claims, including 10 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/keio-university.json. The entity-level confidence is 96%. 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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Source status claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Evidence includes Security review claims.
- Evidence includes Other policy claims.
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
Keio University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Keio University has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Keio University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Keio University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Keio University has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Keio University has 2 source-backed public claims for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
Keio University has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Keio University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Keio University has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
Keio University has 1 source-backed public claim for security and procurement; deterministic analysis status: allowed.
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
10 reviewed evidence-backed public claim
Academic Integrity
Keio University says students need to clearly indicate when reports or similar assignments are created using generative AI.
Review: Agent reviewed
Normalized value: student_disclosure_required_for_ai_created_reports
Original evidence
Evidence 1ただし、生成AIを利用してレポート等を作成した場合には、その旨を明記することが必要です。
Localized display only
If reports or similar assignments are created using generative AI, students need to state that clearly.
Academic Integrity
Keio University says generative AI is not permitted for class assignments or exams when students are required to work independently.
Review: Agent reviewed
Normalized value: no_ai_when_independent_work_required
Original evidence
Evidence 1各授業科目における課題や試験等に関して、独力で取り組むことが求められている場合には、生成AIを利用することは認められません。
Localized display only
For class assignments or exams requiring independent work, use of generative AI is not permitted.
Privacy
Keio's generative AI usage guideline tells users not to input personal or sensitive information through prompts or file attachments into AI services outside Keio's corporate contracts.
Review: Agent reviewed
Normalized value: avoid_personal_sensitive_information_in_non_corporate_ai_services
Original evidence
Evidence 1特に法人契約外のサービスに対しては、プロンプトやファイル添付による個人情報・機微情報の入力は行わないでください。
Localized display only
For services outside corporate contracts, users should not input personal or sensitive information through prompts or file attachments.
Privacy
Keio's guideline warns that Google AI Studio is outside Keio's official covered services and asks users to refrain from entering important information such as personal or confidential data.
Review: Agent reviewed
Normalized value: google_ai_studio_outside_keio_covered_services_no_important_data
Original evidence
Evidence 1Google AI Studioは、慶應義塾が契約するデータ保護の対象となるサービス（「Gemini」や「NotebookLM」など）とは異なり、慶應義塾テナントのサービス対象外です。そのため、入力されたデータは、Googleの利用規約に明記されている目的で情報が収集・使用される可能性があります。
Localized display only
Google AI Studio is outside Keio tenant services and may collect or use entered data under Google's terms; the guideline warns against entering important information.
Source Status
Keio's generative AI usage guideline states that it applies to all Keio students, graduate students, faculty, and staff, including integrated education schools and university hospitals regardless of employment status.
Review: Agent reviewed
Normalized value: ai_usage_guideline_applies_to_all_students_graduate_students_faculty_staff
Original evidence
Evidence 1義塾に在籍するすべての学生、大学院生、および教職員(一貫教育校や大学病院を含め、常勤・非常勤を問わず)
Localized display only
The guideline targets all enrolled students, graduate students, faculty, and staff, including integrated education schools and university hospitals.
Ai Tool Treatment
Keio University tells students to use generative AI appropriately under the relevant faculty or instructor policy when a course, faculty, graduate school, or instructor encourages or permits its use.
Review: Agent reviewed
Normalized value: course_or_instructor_policy_controls_student_ai_use
Original evidence
Evidence 1各授業科目において、学部・研究科や担当教員が生成AIの利用を奨励もしくは許可する場合には、当該教員等が示す方針のもとで適正に活用してください。
Localized display only
For each class, when a faculty, graduate school, or instructor encourages or permits generative AI use, students should use it appropriately under that policy.
Teaching
Keio's generative AI usage guideline strongly recommends verifying AI-generated information against primary sources because generative AI may produce hallucinated information.
Review: Agent reviewed
Normalized value: fact_check_ai_outputs_against_primary_sources
Original evidence
Evidence 1生成AIは、事実に基づかない情報(ハルシネーション)を生成することがあります。生成された情報については、必ず一次情報(元の論文や信頼できる資料など)に基づいて裏付けを取り、事実確認(ファクトチェック)を行うことが強く推奨されます。
Localized display only
The guideline strongly recommends checking generated information against primary sources because generative AI may produce hallucinated information.
Research
Keio's generative AI usage guideline warns that using AI-generated information as-is may unintentionally constitute research misconduct and says researchers remain responsible for transparency, reproducibility, and research outcomes.
Review: Agent reviewed
Normalized value: researchers_responsible_for_transparency_reproducibility_ai_outputs
Original evidence
Evidence 1生成された情報をそのまま用いると意図せず研究不正に該当するおそれがあるため、十分な注意が必要です。研究の透明性や再現性を確保し、研究成果に対する責任は研究者自身が負うことを十分に理解してください。
Localized display only
Using generated information as-is may unintentionally constitute research misconduct; researchers are responsible for transparency, reproducibility, and outcomes.
Security Review
Keio's guideline classifies Gemini and NotebookLM under Keio's contract as corporately contracted AI services available through Keio.jp accounts in a trial standard-feature implementation as of July 2025.
Review: Agent reviewed
Normalized value: gemini_notebooklm_trial_corporate_contract_under_keio_accounts
Original evidence
Evidence 1(2025年7月現在、試行的導入) 慶應義塾の契約下で利用する Gemini, NotebookLM ※標準機能版での提供となります。法人単位での包括契約となり、Keio.jpアカウント下で利用可能
Localized display only
As of July 2025, Gemini and NotebookLM are trialed under Keio's contract as standard-feature corporate services available under Keio.jp accounts.
Other
Keio's guideline says generative AI is a tool to support learning, research, and work, and that users are solely responsible for final judgment and use of AI-generated content.
Review: Agent reviewed
Normalized value: user_final_responsibility_for_ai_generated_content
Original evidence
Evidence 1生成AIは、学習・研究・業務を補助する「ツール」です。AIが生成した内容を、どのような形で利用し、成果物として発表するかの最終的な判断と責任は、すべて利用者本人にあります。
Localized display only
Generative AI is a tool supporting learning, research, and work; final judgment and responsibility for use of AI-generated content rests with the user.
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
ChatGPT等生成AIの利用について
students.keio.ac.jp
Guideline for Generative AI Usage at Keio University
itc.keio.ac.jp
慶應義塾における生成AIの利用ガイドライン
sc.itc.keio.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.