Policy presence
Ritsumeikan University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Kyoto, Japan
Ritsumeikan University
Ritsumeikan University has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 18, 2026.
Ritsumeikan University AI policy short answer
v1 public contract
Ritsumeikan University has 6 source-backed AI policy claims from 3 official source attributions, including 6 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 18, 2026. Discovery context: Ritsumeikan University is listed as QS 2026 rank =680.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Ritsumeikan University as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 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/ritsumeikan-university.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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Security review claims.
- Named AI services detected in public claims: Microsoft Copilot.
- 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.
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
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.
Coursework
Ritsumeikan University has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Ritsumeikan University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Ritsumeikan University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Ritsumeikan University has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Approved tools
Ritsumeikan University has 3 source-backed public claims for approved tools; deterministic analysis status: blocked.
Named AI services
Ritsumeikan University has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Ritsumeikan University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Ritsumeikan University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
Security and procurement
Ritsumeikan University has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
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
Privacy
Ritsumeikan University's student-facing generative-AI guidance cautions against casually entering personal information, highly confidential information, unpublished papers, drafts, or research data into generative AI.
Review: Agent reviewed
Normalized value: do_not_enter_sensitive_or_unpublished_information
Original evidence
Evidence 1個人情報や秘匿性の高い情報、未発表の論文（卒業論文およびその草稿等）や研究データ等を入力することは非常に危険ですので、安易に入力（送信）しないように注意してください。
Localized display only
The guidance cautions students not to casually input personal, confidential, unpublished paper/draft, or research data into generative AI.
Academic Integrity
Ritsumeikan University's student-facing guidance warns that using generative-AI answers as-is in exams or reports may, depending on degree and content of use, be regarded as plagiarism and could become student-disciplinary misconduct.
Review: Agent reviewed
Normalized value: as_is_ai_output_may_be_plagiarism_or_misconduct
Original evidence
Evidence 1生成系 AI による回答をそのまま試験・レポート課題等に用いることは、著作権侵害等の研究倫理上の問題につながる可能性があるだけでなく、皆さん自身の学びや成長につながりません。また、使用の程度や内容によっては、盗作・剽窃と見なされ、不正行為として学生懲戒の対象となる可能性があります。
Localized display only
The guidance warns that using generative-AI answers as-is in exams or reports may raise research-ethics issues and, depending on use, may be treated as plagiarism and student misconduct.
Teaching
Ritsumeikan University's student-facing generative-AI guidance tells students to follow instructions when a course gives directions about generative-AI use.
Review: Agent reviewed
Normalized value: follow_course_instructions
Original evidence
Evidence 1生成系 AI のあり方については、現在、それぞれの学問分野によって適切な利用方法に差異があります。授業内で指示がある場合は、その指示に従ってください。
Localized display only
The guidance says appropriate use differs by academic field and students should follow instructions when provided in class.
Ai Tool Treatment
Ritsumeikan University's student-facing teaching division guidance says it is not realistic to completely prohibit generative AI itself and frames use through education and learning cautions for students and faculty.
Review: Agent reviewed
Normalized value: not_blanket_ban_with_cautions
Original evidence
Evidence 1テクノロジーの進展を考えると、生成系 AI の使用そのものを完全に禁止することは現実的ではありません。したがって、生成系 AI の活用にあたっては、教育・学修の注意事項・留意事項として学生及び教員に向けて周知を図っていく
Localized display only
The guidance says a complete ban on generative AI itself is not realistic and that students and faculty will be informed through education and learning cautions.
Ai Tool Treatment
Ritsumeikan University's IT support page says students, faculty, and staff can use Microsoft 365 Copilot Chat under the basic license, while also instructing users to check generative-AI use guidelines and cautions.
Review: Agent reviewed
Normalized value: m365_copilot_chat_available_basic_license
Original evidence
Evidence 1構成員に付与している基本ライセンスでは、AIチャットサービス「Microsoft 365 Copilot Chat（旧称：Microsoft Bing チャットエンタープライズ）」を利用できます。生成AIの利用にあたって、利用指針や留意事項を確認してください。
Localized display only
The IT page says the basic license allows Microsoft 365 Copilot Chat and instructs users to review generative-AI guidelines and cautions.
Security Review
Ritsumeikan University's IT support page identifies generative-AI information leakage and intellectual-property risks as dangers to consider when using generative-AI services.
Review: Agent reviewed
Normalized value: information_leakage_and_ip_risks_identified
Original evidence
Evidence 1生成系AIの利用にあたっては以下の危険性があります。入力した情報が第三者への回答に利用されることがあり、情報漏洩に繋がる。出力された結果に第三者の著作物が含まれることがあり、利用方法によっては知的財産権の侵害にあたる。
Localized display only
The IT page lists risks that entered information may be used in third-party answers and lead to leakage, and that outputs may include third-party works.
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
Microsoft 365 Copilot Chatの利用について
it.support.ritsumei.ac.jp
生成系 AI（人工知能）の利用にあたって
ritsumei.ac.jp
生成系AIサービスの利用における情報セキュリティに関する注意事項について
it.support.ritsumei.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.