Policy presence
Sejong University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seoul, South Korea
Sejong University
Sejong University is listed as QS 2026 rank =392. Sejong University has 5 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
Sejong University is listed as QS 2026 rank =392. Sejong University has 5 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 Sejong University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 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/sejong-university.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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the 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
Sejong University has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Sejong University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Sejong University has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Sejong University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Sejong University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
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
Sejong University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
Sejong University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Sejong University has 1 source-backed public claim 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
5 reviewed evidence-backed public claim
Academic Integrity
Sejong University's 2025 notice for international students says generative AI use is conditionally permitted, varies by syllabus or instructor guidance, and submitting AI-produced content without explicit instructor permission constitutes academic misconduct.
Review: Agent reviewed
Normalized value: International-student notice: AI use is conditionally permitted and unauthorized AI-produced submissions are misconduct.
Original evidence
Evidence 1생성형 AI 활용은 '조건부 허용'입니다. 강의계획서 또는 담당교수 지침에 따라 AI 활용 가능 여부와 범위가 다릅니다. 교수의 명시적 허가 없이 AI가 생산한 내용을 그대로 제출하는 행위는 부정행위에 해당합니다.
Localized display only
Generative AI use is conditionally permitted; the possibility and scope vary by syllabus or instructor guidance, and submitting AI-produced content without explicit instructor permission is misconduct.
Academic Integrity
Sejong University's 2026 AI usage guideline tells students that if they use AI for learning or assignments, they must transparently disclose the fact of AI use, such as through footnotes, citations, or reference details.
Review: Agent reviewed
Normalized value: Students must disclose AI use in academic work when AI was used.
Original evidence
Evidence 1If you have used AI for learning or completing assignments, you must disclose that fact transparently. Specifically, if you received help from AI for a report or presentation, you must state this in the relevant section through footnotes or citations.
Privacy
Sejong University's 2026 AI usage guideline tells students not to enter sensitive personal information into AI systems and not to upload undisclosed research data or internal assignment materials because of leakage risk.
Review: Agent reviewed
Normalized value: Students should protect personal information and undisclosed research or internal materials when using AI systems.
Original evidence
Evidence 1Students have an obligation to protect their own and others' personal information when using AI. By complying with the privacy rules mentioned in the earlier summary, do not enter sensitive personal information ... into AI systems or chat interfaces under any circumstances.
Teaching
Sejong University's 2026 AI usage guideline says faculty and students should agree in advance on the principles and scope of AI use in classes or assessments, with course-specific rules communicated in the syllabus or first class.
Review: Agent reviewed
Normalized value: Course-level AI use rules should be agreed and communicated in advance.
Original evidence
Evidence 1Based on open and effective communication between faculty and students, the principles and scope of AI use in classes or assessments should be agreed upon in advance.
Teaching
Sejong University's 2023 Korean teaching and learning guidance asks instructors and students to discuss generative AI use in teaching and learning, follow agreed terms, critically review AI-used materials, and use outputs ethically and responsibly.
Review: Agent reviewed
Normalized value: 2023 Korean guidance recommends agreed, critical, ethical, and responsible generative AI use in teaching and learning.
Original evidence
Evidence 1교수자와 학생은 생성형 AI의 교수학습 활용에 대해 논의하고 합의사항을 준수합니다. 인공지능에 활용된 자료를 비판적으로 검토하고 윤리적이고 책임감 있게 결과물을 활용합니다.
Localized display only
Instructors and students discuss generative AI use for teaching and learning, follow agreed terms, and use AI-used materials critically, ethically, and responsibly.
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
[공지사항] 생성형 AI 활용 관련 학사부정 방지 안내 (외국인 유학생) / [Notice] Academic Misconduct of Generative AI Use (International Students)
sejong.ac.kr
2026 Sejong University AI Usage Guideline
sejong.ac.kr
생성형 AI 교수 학습 기본 활용 가이드 라인
sejong.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.