Policy presence
Yonsei University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seoul, South Korea
Yonsei University
Yonsei University is listed as QS 2026 rank 50. Yonsei University has 4 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Yonsei University is listed as QS 2026 rank 50. Yonsei University has 4 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
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
Yonsei University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Yonsei University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Yonsei University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Yonsei University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Yonsei University has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
Yonsei University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
Yonsei University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Yonsei University has 4 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
Yonsei University Research Ethics Center guidance warns users not to enter confidential, sensitive, or personally identifiable information into generative AI tools.
Review: Agent reviewed
Normalized value: do_not_enter_sensitive_or_personal_data
Original evidence
Evidence 1Do not enter any confidential, sensitive, or personally identifiable information into generative AI tools.
Academic Integrity
Yonsei University Research Ethics Center guidance says students using generative AI in academic work must provide clear and accurate citations.
Review: Agent reviewed
Normalized value: ai_use_citation_required
Original evidence
Evidence 1If students use generative AI in their academic work, they must provide clear and accurate citations.
Teaching
Yonsei University Research Ethics Center guidance says generative AI use in courses should be based on clear agreement between instructors and learners, with instructors giving minimum guidance when use is permitted.
Review: Agent reviewed
Normalized value: course_or_instructor_conditioned_use
Original evidence
Evidence 1Generative AI should be used only after a clear agreement between instructors and learners on its terms of use. If instructors permit its use, they are responsible for providing clear and minimum guidelines.
Academic Integrity
Yonsei University Research Ethics Center guidance tells students that generative AI may be permitted or restricted depending on the course and that students should consult the syllabus and course policies.
Review: Agent reviewed
Normalized value: students_should_check_course_policy
Original evidence
Evidence 1The use of generative AI may be permitted or restricted depending on the course. Students are expected to consult the syllabus and course policies to determine whether its use is allowed.
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
1 source attribution
Research Ethics Guidelines for the Use of Generative AI
socsci.yonsei.ac.kr
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.