Policy presence
Konkuk University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seoul, South Korea
Konkuk University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Konkuk University has 2 source-backed public claims for coursework; deterministic analysis status: recommended.
Konkuk University has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Konkuk University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: conditionally_allowed.
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Konkuk University has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Konkuk University has 3 source-backed public claims for named ai services; deterministic analysis status: conditionally_allowed.
Konkuk University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
3 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: official CTL guide cautions users to verify ChatGPT outputs and notes hallucination risk
Original evidence
Evidence 1ChatGPT를 활용할 때 정보의 사실성과 객관성은 사용자가 검증해야 합니다. ChatGPT hallucination은 어떠한 질문이나 요청에 대해, 마치 있는 것처럼 또는 정답인 것처럼 그럴듯하게 응답하는 일종의 오류라고 할 수 있습니다.
Localized display only
The guide says users should verify factuality and objectivity, and describes ChatGPT hallucination as a plausible response error.
Teaching
Normalized value: official CTL guide describes student learning uses for ChatGPT
Original evidence
Evidence 1학생들이 교과 과목에 관련된 질문을 제출하면, ChatGPT를 활용하여 질문에 대한 답변을 생성하고 설명할 수 있습니다. 수업 과제 또는 숙제에 대한 도움말을 제공하기 위해 ChatGPT를 활용할 수 있습니다.
Localized display only
The guide says students can submit course-related questions and use ChatGPT to generate and explain answers, including help for class assignments or homework.
Teaching
Normalized value: official CTL guide describes instructor use of ChatGPT for exam-question drafting
Original evidence
Evidence 1시험 문항 제작하기: 학습 내용을 기반으로 시험 문제 출제를 요청할 수 있습니다. 수준별 문항 제작 및 객관식, 주관식 등 다양한 형태로 문제 출제가 가능합니다.
Localized display only
The guide gives 'creating exam questions' as an instructor use case, including requesting questions based on learning content and different formats.
0 machine or needs-review claim
2 source attribution
konkuk.ac.kr
konkuk.ac.kr