Policy presence
Korea University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seoul, South Korea
Korea University
Korea University is listed as QS 2026 rank 61. Korea University has 12 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
Korea University is listed as QS 2026 rank 61. Korea University has 12 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.
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
Korea University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Korea University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Korea University has 5 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Korea University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Korea University has 4 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Korea University has 2 source-backed public claims for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
Korea University has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Korea University has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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
12 reviewed evidence-backed public claim
Academic Integrity
Korea University states that submitting AI-generated content as one’s own, or using it without permission, is academic misconduct.
Review: Agent reviewed
Normalized value: unauthorized_ai_submission_academic_misconduct
Original evidence
Evidence 1AI는 교육 목적과 원칙에 따라 활용해야 하며, 결과물은 사용자의 고유한 사고와 표현을 반영해야 한다. AI가 생성한 콘텐츠를 자신의 것으로 속여 제출하거나 허가 없이 사용하는 행위는 학문적 부정행위에 해당한다.
Localized display only
Submitting AI-generated content as one’s own, or using it without authorization, is treated as academic misconduct.
Ai Tool Treatment
Korea University states that its AI guideline primarily applies to generative AI used directly in teaching and learning, while its basic principles also apply to educational use of all AI tools.
Review: Agent reviewed
Normalized value: generative_ai_primary_scope_all_ai_basic_principles
Original evidence
Evidence 1AI는 크게 분석형 AI(Analytical AI)와 생성형 AI(Generative AI)로 구분되며, 본 가이드라인은 텍스트·이미지·코드 생성 등 교수·학습 과정에서 직접적으로 활용되는 생성형 AI를 주된 적용 대상으로 한다. 단, 분석형 AI를 포함한 모든 AI 도구의 교육적 활용에도 본 가이드라인의 기본 원칙이 적용된다.
Localized display only
The guideline primarily covers generative AI in teaching and learning, while its basic principles apply to educational use of all AI tools.
Academic Integrity
Korea University says AI-detection and plagiarism-prevention tools should be used only as supplementary references and not as the sole basis for misconduct findings.
Review: Agent reviewed
Normalized value: ai_detection_not_sole_basis
Original evidence
Evidence 1AI 탐지 도구나 표절 방지 프로그램은 오탐지 가능성과 판별의 한계가 있으므로, 단독 판단의 근거가 아닌 참고자료로만 활용한다. 탐지 도구의 사용 목적, 적용 범위, 한계를 학습자에게 사전에 안내하고, 탐지 결과만으로 부정행위를 판단하지 않는다.
Localized display only
AI detection and plagiarism tools should be supplementary only and not the sole basis for determining misconduct.
Privacy
Korea University tells instructors not to enter personal information, academic records, assessment questions, or other sensitive or non-public materials into AI tools, with special caution for external AI services.
Review: Agent reviewed
Normalized value: instructor_sensitive_data_ai_restriction
Original evidence
Evidence 1개인정보, 학적 정보, 평가 문항 등 민감하거나 비공개로 분류되는 자료는 AI 도구에 입력하지 않으며, 외부 AI 서비스 이용 시 데이터 저장·재활용 가능성에 특히 주의한다.
Localized display only
Sensitive or non-public materials such as personal information, academic records, and assessment questions should not be entered into AI tools, especially external services.
Academic Integrity
Korea University tells learners to disclose the AI tool name, timing, and scope of use, distinguish their own work from AI contributions, and cite AI-generated content according to the required format.
Review: Agent reviewed
Normalized value: learner_ai_disclosure_attribution
Original evidence
Evidence 1AI 도구를 활용한 경우, 사용한 AI 도구명, 활용 시점, 활용 범위를 명시하고, 자신의 작성 내용과 AI의 기여 내용을 명확히 구분한다. AI가 생성한 내용을 활용할 때는 정해진 인용 방식에 따라 출처를 표기한다.
Localized display only
Learners must disclose the AI tool, timing, and scope of use, distinguish their own work from AI contributions, and cite AI-generated content as required.
Source Status
Korea University University College Distance Learning Center distributed 2026 AI utilization guidelines and a guidebook to support responsible and effective AI use in teaching and learning.
Review: Agent reviewed
Normalized value: 2026_ai_guidelines_distributed
Original evidence
Evidence 1고려대학교 학부대학 원격교육센터에서는 교수·학습 현장에서 인공지능(AI)을 책임 있고 효과적으로 활용할 수 있도록 「2026 AI 활용 가이드라인」과 「2026 AI 활용 가이드북」을 제작·배포하였습니다.
Localized display only
Korea University University College Distance Learning Center says it developed and distributed 2026 AI utilization guidelines and a guidebook for responsible AI use in teaching and learning.
Teaching
Korea University instructs instructors to decide course AI-use policies based on course purpose, teaching method, and assignment nature, and to state the policy in the syllabus.
Review: Agent reviewed
Normalized value: instructor_course_policy_syllabus_notice
Original evidence
Evidence 1교수자는 수업 목적, 교수 방법, 과제의 성격 등을 종합적으로 고려하여 AI 활용 방침을 자율적으로 결정하고, 강의계획안에 이를 명시하여 학습자가 언제, 어떤 방식으로 AI를 사용할 수 있는지 사전에 안내한다.
Localized display only
Instructors determine AI-use policies by course context and state them in the syllabus so learners know when and how AI may be used.
Ai Tool Treatment
Korea University tells learners to check each course’s AI-use guideline before coursework and ask the instructor if permission is unclear.
Review: Agent reviewed
Normalized value: learner_check_course_policy
Original evidence
Evidence 1AI 도구의 활용 가능 여부와 범위는 교과목의 성격과 수업 목표에 따라 달라질 수 있으므로, 수강 전 해당 교과목의 AI 활용 지침을 반드시 확인하고, 정해진 범위 내에서 책임 있게 활용한다. AI 활용 가능 여부가 불분명한 경우에는 임의로 판단하지 않고 사전에 교수자에게 확인한다.
Localized display only
Learners must check the AI-use policy for each course and ask the instructor if permission is unclear.
Privacy
Korea University tells learners not to enter personal information, non-public learning materials, or assessment questions into external AI tools, and to remember that AI inputs may be stored or reused.
Review: Agent reviewed
Normalized value: learner_external_ai_data_restriction
Original evidence
Evidence 1본인 또는 타인의 개인정보와 비공개 학습자료 ․ 평가 문항은 외부 AI 도구에 입력하지 않으며, AI에 입력한 내용이 저장되거나 재활용될 수 있음을 항상 염두에 둔다.
Localized display only
Learners should not enter personal information, non-public learning materials, or assessment items into external AI tools and should remember inputs may be stored or reused.
Teaching
Korea University frames AI as a tool that assists education and learning, with human thought and judgment remaining central.
Review: Agent reviewed
Normalized value: human_agency_ai_assistive_tool
Original evidence
Evidence 1AI는 교육과 학습을 보조하는 도구이며, 사고와 판단의 주체는 언제나 인간이다. 교수자와 학습자는 AI의 도움을 받더라도 자신의 사고 과정과 판단을 중심에 두어야 하며, AI는 이를 대체할 수 없다.
Localized display only
AI is described as an assistive educational tool, while human reasoning and judgment must remain central.
Academic Integrity
Korea University says instructors should explain AI-use policies at the first class and notify learners that violations may be treated as academic integrity breaches.
Review: Agent reviewed
Normalized value: first_class_policy_notice_integrity_breach
Original evidence
Evidence 1수업 첫 시간에 AI 활용 방침을 설명하고 질의응답 시간을 마련하며, AI 활용 기준 위반 시 학문적 진실성 위반으로 간주될 수 있음을 고지한다.
Localized display only
At the first class, instructors should explain AI-use policies and warn that violations may be treated as academic integrity breaches.
Teaching
Korea University recommends designing assignments and assessments to show learners’ critical thinking, creativity, problem-solving process, and their own reasoning even when AI is used.
Review: Agent reviewed
Normalized value: assessment_redesign_for_student_reasoning
Original evidence
Evidence 1과제와 평가는 단순 정보 요약이나 재진술을 넘어, 학습자의 비판적 사고력, 창의력, 문제 해결 과정이 드러날 수 있도록 설계한다. 학습자의 실제 경험, 관찰, 맥락을 반영하는 과제를 통해 AI가 대체하기 어려운 고유한 사고와 표현이 드러나도록 하고, AI 활용 시에도 학습자가 자신의 사고와 논리를 중심으로 결과물을 구성하도록 유도한다.
Localized display only
Assignments and assessments should show learners’ critical thinking, creativity, problem-solving, and own reasoning even when AI is used.
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
2026 AI 활용 가이드라인 및 가이드북 배포 - 고려대학교 교수학습지원센터, 원격교육센터
ctl.korea.ac.kr
Korea University 2026 AI Utilization Guidelines English
ctl.korea.ac.kr
Korea University 2026 AI Utilization Guidelines Korean
ctl.korea.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.