Policy presence
University of Tsukuba has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Tsukuba City, Japan
University of Tsukuba
University of Tsukuba is listed as QS 2026 rank =350. University of Tsukuba has 4 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Tsukuba is listed as QS 2026 rank =350. University of Tsukuba has 4 source-backed AI policy claim records from 2 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 University of Tsukuba as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-tsukuba.json. The entity-level confidence is 93%. 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.
- 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.
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
University of Tsukuba has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
University of Tsukuba has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
University of Tsukuba has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Tsukuba has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
University of Tsukuba has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
University of Tsukuba has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Tsukuba has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Tsukuba has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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
4 reviewed evidence-backed public claim
Privacy
University of Tsukuba instructs generative AI users not to include confidential work information or nonpublic research plans and results in prompts.
Review: Agent reviewed
Normalized value: no_confidential_or_nonpublic_research_information_in_prompts
Original evidence
Evidence 1Prompts for Generative AI Do not include in generative AI prompts confidential information obtained in the course of your work or nonpublic information such as research plans, research results, etc.
Academic Integrity
For assignments and examinations, University of Tsukuba's student guidelines tell students to follow faculty instructions on generative AI use and distinguish their own ideas from AI-generated ideas in report assignments.
Review: Agent reviewed
Normalized value: follow_instructor_ai_instructions_and_distinguish_own_ideas
Original evidence
Evidence 1Please follow the faculty member's instructions on the use of Generative AI. When using Generative AI, it is essential to examine its credibility and confirm the primary information, as with traditional Internet searches, including the risks mentioned above. Specifically, it is important to consider the following points. 1. When using Generative AI in report assignments, it is important to distinguish between your own ideas and those generated by Generative AI.
Teaching
University of Tsukuba's student guidelines say each educational organization or instructor should establish classroom policies for generative AI, and use should be based on those policies when permitted.
Review: Agent reviewed
Normalized value: course_or_instructor_genai_policy_when_permitted
Original evidence
Evidence 1Each educational organization or instructor should establish policies for using Generative AI in the classroom, considering educational effects and risk management. Faculty members and students should base their decisions to use Generative AI on these policies, ensuring it is utilized appropriately as a tool when permitted.
Ai Tool Treatment
University of Tsukuba's basic policy states that the university actively utilizes new technologies, including generative AI, while respecting originality and novelty in education and research.
Review: Agent reviewed
Normalized value: active_utilization_with_originality_novelty_boundary
Original evidence
Evidence 1Generative AI is expected to produce significant academic and industrial achievements. The university's basic policy is to actively utilize new technologies to help them to take root in society. All faculty, employees, and students involved in the fundamental activities of the university are to respect and utilize originality and novelty,the most important characteristics of education and research.
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
2 source attribution
Basic Policy on the Use of Generative AI at the University of Tsukuba
office.otsuka.tsukuba.ac.jp
教学マネジメント体制 - 筑波大学
tsukuba.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.