Policy presence
Sejong University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seoul, South Korea
Sejong University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Sejong University has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Sejong University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Sejong University has 4 source-backed public claims for exams; deterministic analysis status: required.
Sejong University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Sejong University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
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.
Sejong University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Sejong University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Sejong University has 1 source-backed public claim 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.
5 reviewed evidence-backed public claim
Academic Integrity
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
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
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
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
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.
0 machine or needs-review claim
3 source attribution
sejong.ac.kr
sejong.ac.kr
sejong.ac.kr