University AI Policy Tracker

Dossiers ouverts et fondes sur des preuves sur les politiques IA universitaires.

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Change log

Sejong University

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Review: Agent reviewedLast checkedMay 16, 2026Last changedMay 16, 2026Claims5Sources3Release records0
University pagePublic JSONMonthly reportUniversity index

Change summary

Current public record freshness and review state.

Sejong University currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 16, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for Sejong University. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

This tracker 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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

Sejong University combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+10-0
11 # Sejong University AI policy record
2+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.
3+Evidence (ko, 234d55b2791e): 생성형 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.
4+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.
5+Evidence (en, 08a8d599e827): If 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.
6+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.
7+Evidence (en, 08a8d599e827): Students 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.
8+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.
9+Evidence (en, 08a8d599e827): Based 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.
10+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.
11+Evidence (ko, fcc11666bfd6): 교수자와 학생은 생성형 AI의 교수학습 활용에 대해 논의하고 합의사항을 준수합니다. 인공지능에 활용된 자료를 비판적으로 검토하고 윤리적이고 책임감 있게 결과물을 활용합니다.

Release history

0 public release diffs

Claim changes

5 claim records

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 reviewedConfidence93%Evidence1Languagesko

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 reviewedConfidence92%Evidence1Languagesen

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 reviewedConfidence91%Evidence1Languagesen

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 reviewedConfidence90%Evidence1Languagesen

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 reviewedConfidence88%Evidence1Languagesko

Source snapshots

3 source attributions

[공지사항] 생성형 AI 활용 관련 학사부정 방지 안내 (외국인 유학생) / [Notice] Academic Misconduct of Generative AI Use (International Students)

official_guidance Tracker checked at May 16, 2026, 7:03 PM

Snapshot hash
234d55b2791e208f632e1bcbc551d82f347234202244b2851ef2af774b424e98