Policy presence
HUFS - Hankuk (Korea) University of Foreign Studies has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Seoul, South Korea
HUFS - Hankuk (Korea) University of Foreign Studies
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
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.
Coursework
HUFS - Hankuk (Korea) University of Foreign Studies has 1 source-backed public claim for coursework; deterministic analysis status: allowed.
Exams
HUFS - Hankuk (Korea) University of Foreign Studies has 1 source-backed public claim for exams; deterministic analysis status: allowed.
Privacy and data entry
HUFS - Hankuk (Korea) University of Foreign Studies has 3 source-backed public claims for privacy and data entry; deterministic analysis status: allowed.
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.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
HUFS - Hankuk (Korea) University of Foreign Studies has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
HUFS - Hankuk (Korea) University of Foreign Studies has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
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.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
3 reviewed evidence-backed public claim
Research
HUFS Research Ethics Center distributed a generative-AI researcher checklist and tells researchers that final responsibility for generative AI use remains with human authors.
Review: Agent reviewed
Normalized value: research_ai_human_author_responsibility
Original evidence
Evidence 1이에 우리 연구윤리센터는 "생성형 AI의 윤리적 활용을 위한 연구자 체크리스트"를 제작하여 배포하고 있으니, 본 체크리스트의 항목들과 더불어 생성형 AI 사용의 최종 책임은 인간 저자에게 있음을 유의하여 연구의 투명성과 책임성 확보에 노력해 주시기 바랍니다.
Localized display only
The Research Ethics Center says it produced and distributed a researcher checklist for ethical use of generative AI, and notes that final responsibility for generative AI use lies with human authors.
Original evidence
Evidence 2연구자 체크리스트 생성형 AI 사용의 최종 책임은 인간 저자에게 있습니다.
Localized display only
The checklist states that final responsibility for use of generative AI is with human authors.
Teaching
HUFS describes its AI Data Convergence curriculum as including AI ethics and philosophy, and the broader AI Data Convergence program page also names privacy, security, and AI ethics lecture areas.
Review: Agent reviewed
Normalized value: ai_ethics_curriculum_available
Original evidence
Evidence 1이를 위해 AI와 데이터과학의 기초, AI 학습을 위한 빅데이터 처리 및 분석, AI 윤리 및 철학 등 핵심 기초 교육과정을 제공합니다.
Localized display only
The AI Data Convergence page says the curriculum includes core courses such as AI and data science foundations, big-data processing and analysis for AI learning, and AI ethics and philosophy.
Research
HUFS Research Ethics Center hosts research guidance stating that evaluators of Korean National Research Foundation-supported projects should not input or upload evaluation materials into AI tools.
Review: Agent reviewed
Normalized value: research_evaluation_materials_no_ai_upload
Original evidence
Evidence 1한국연구재단이 지원하는 연구개발과제의 평가에 참여하는 평가위원은 각종 평가자료를 AI 도구에 입력(업로드)하지 말아야 합니다.
Localized display only
For NRF-supported research project evaluations, the hosted recommendations say evaluators should not input or upload evaluation materials into AI tools.
Candidate claims
0 machine or needs-review claim
Official sources
4 source attribution
생성형 AI의 윤리적 활용을 위한 연구자 체크리스트
rec.hufs.ac.kr
생성형 AI의 윤리적 활용을 위한 연구자 체크리스트
rec.hufs.ac.kr
생성형 인공지능(AI) 도구의 책임 있는 사용을 위한 권고사항(개정판)
rec.hufs.ac.kr
전공소개 - AI데이터융합학부
aidata.hufs.ac.kr