Seoul, South Korea

Konkuk University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage3 reviewedEvidence-backed claims3Reviewed3Candidate0Official sources2Source languagekoPublic JSON/api/public/v1/universities/konkuk-university.json

Policy profile

Coverage score70/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence74%

AI disclosure

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records1

ChatGPT

Konkuk University

Tool
ChatGPT
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed

Evidence-backed claims

3 reviewed evidence-backed public claim

Ai Tool Treatment

Konkuk University's Center for Teaching and Learning ChatGPT guide cautions that users should verify factuality and objectivity when using ChatGPT and defines hallucination as a plausible-answer error.

Review: Agent reviewedConfidence88%

Normalized value: official CTL guide cautions users to verify ChatGPT outputs and notes hallucination risk

Original evidence

Evidence 1
ChatGPT를 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

Konkuk University's Center for Teaching and Learning ChatGPT guide describes ChatGPT as usable for student course questions, assignment help, individualized learning support, and learning-material generation.

Review: Agent reviewedConfidence86%

Normalized value: official CTL guide describes student learning uses for ChatGPT

Original evidence

Evidence 1
학생들이 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

Konkuk University's Center for Teaching and Learning ChatGPT guide gives instructors examples of using ChatGPT in teaching work, including requesting exam-question generation based on learning content.

Review: Agent reviewedConfidence84%

Normalized value: official CTL guide describes instructor use of ChatGPT for exam-question drafting

Original evidence

Evidence 1
시험 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.

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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