추가됨
The2025 instructor guideline assigns the course instructor the choice of prohibition, limited uses or broader uses, announced in syllabus and class. Example syllabus texts are options, not universal student permission.
기록 개정 내역
Yonsei University
이 사이트의 검토된 기록에 대한 업데이트이며, 대학이 정책을 변경했다는 확인이 아닙니다.
추적기 게시 시각은 대학 정책의 시행일이 아닙니다.
이 기록 업데이트의 의미
관련 기록: 12 (3 수정 / 조정됨 · 8 추가됨 · 보류 1건)
학문적 진실성 · 교수 활동 · 8개 주제 더 보기
과제 및 평가에서의 AI 사용 · 관련 기록: 1 (1 추가됨)
시험 · 관련 기록: 1 (1 추가됨)
추가됨
The2025 teacher guideline generally prohibits GenAI in supervised exams and limits electronic devices. In unproctored/open assessments, any permitted uses must be decided and announced beforehand. Preserve the “in principle” qualification and actual exam instructions.
사용 고지 · 관련 기록: 1 (1 추가됨)
추가됨
Where AI use is permitted, the instructor selects and announces one or more disclosure/log methods. Prompt fields, versions and upload examples are selected course methods, not a universal checklist.
데이터 안전 · 관련 기록: 1 (1 추가됨)
추가됨
The2025 guidance warns against inputting personal/confidential/unpublished research or patent information into external cloud AI. Teachers should not upload entire student assessment texts for AI grading/analysis. No retention duration or approved institutional service is established.
연구 및 출판 · 관련 기록: 1 (1 추가됨)
추가됨
The2025 researcher guideline does not recognise AI as author. Humans retain core design/analysis/conclusions and responsibility; disclose tool/version/developer/purpose, verify outputs and follow journal requirements. Core original outputs may not be generated by AI under the stated restriction.
학문적 진실성 · 관련 기록: 5 (2 수정 / 조정됨 · 3 추가됨)
사이트 결론 텍스트 변경
이전 텍스트
Yonsei University Research Ethics Center guidance says students using generative AI in academic work must provide clear and accurate citations.
새 텍스트
Yonsei’s May 2024 guideline asks students to clearly cite generative AI use; the August 2025 instructor guideline requires instructors to specify permissible course uses and choose and announce appropriate disclosure or prompt-record submission methods.
사이트 결론 텍스트 변경
이전 텍스트
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.
새 텍스트
Yonsei students should follow the instructor’s announced syllabus/course AI-use rules; the August 2025 instructor guideline also addresses permitted and prohibited exam contexts and disclosure when use is allowed.
추가됨
AI detector results are supplementary and should not alone determine grades or sanctions; consider the student’s explanation and instructor review. General grading dishonesty rules do not make every AI use cheating.
추가됨
The2026 academic rules require scholarly ethics and allow discipline under their conditions. The undergraduate grading page says dishonesty/cheating invalidates obtained grades and gives the course F. No universal AI-specific penalty follows without the applicable course rule and finding.
추가됨
The research-integrity committee process is for research participants, not ordinary course appeals. Preliminary investigation starts within30 days of report and finishes within30 of start; main investigation starts within30 after approval and finishes within120, extendable with approval. Objection is within30 days of determination notice and processed within60 of receipt. Day types are unspecified.
교수 활동 · 관련 기록: 1 (보류 1건)
유지된 과거 텍스트이며, 이것이 대학이 규칙을 폐지했음을 의미하지는 않습니다.
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.
보류 / 현재 결론에서 제외됨개인정보 보호 · 관련 기록: 1 (1 수정 / 조정됨)
사이트 결론 텍스트 변경
이전 텍스트
Yonsei University Research Ethics Center guidance warns users not to enter confidential, sensitive, or personally identifiable information into generative AI tools.
새 텍스트
Yonsei’s 2024 guideline discourages entering confidential, sensitive or personal data into generative AI; the August 2025 researcher guideline specifically warns against entering personal, patent, confidential and unpublished research data into external cloud-based AI services.