Policy presence
University of Tsukuba has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Tsukuba City, Japan
University of Tsukuba has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
University of Tsukuba has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
University of Tsukuba has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
University of Tsukuba has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
University of Tsukuba has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
University of Tsukuba has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
University of Tsukuba has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Tsukuba has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of Tsukuba has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
4 reviewed evidence-backed public claim
Privacy
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
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
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
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.
0 machine or needs-review claim
2 source attribution
office.otsuka.tsukuba.ac.jp
tsukuba.ac.jp