Policy presence
Chung-Ang University (CAU) has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seoul, South Korea
Chung-Ang University (CAU) has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Chung-Ang University (CAU) has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Chung-Ang University (CAU) has 4 source-backed public claims for coursework; deterministic analysis status: required.
Chung-Ang University (CAU) has 4 source-backed public claims for exams; deterministic analysis status: required.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Chung-Ang University (CAU) has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Chung-Ang University (CAU) has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Chung-Ang University (CAU) has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Chung-Ang University (CAU) 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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
5 reviewed evidence-backed public claim
Source Status
Normalized value: official_generative_ai_guidance_page
Original evidence
Evidence 12023. 4. 20 제정; 2024. 4. 9 개정; 주무부서 : 학술정보원. ChatGPT 등 생성형 인공지능(Generative AI) 확산에 신속하게 대응하고, 대학 교육에서 교수 및 학습 윤리를 준수하며 생성형 AI를 활용하기 위한 가이드라인을 제시한다.
Localized display only
Established April 20, 2023; revised April 9, 2024; responsible office: Library & Academic Information Services. The guideline responds to generative AI such as ChatGPT and supports ethical teaching and learning use.
Teaching
Normalized value: instructor_selected_syllabus_ai_option
Original evidence
Evidence 1교수자는 생성형 AI 활용과 관련하여 다음 3가지 옵션 중 하나를 선택하여 강의계획서에 관련 내용을 명시하도록 권고한다.
Localized display only
Instructors are recommended to choose one of three options for generative AI use and state the related content in the syllabus.
Ai Tool Treatment
Normalized value: ban_approval_or_citation_full_permission
Original evidence
Evidence 1옵션 1) 생성형 AI 사용금지 ... 옵션 2) 교수자의 사전 승인 또는 출처 표기 후 생성형 AI 사용 가능 ... 옵션 3) 자유롭게 생성형 AI 사용 가능
Localized display only
Option 1 bans generative AI use; Option 2 allows use with prior instructor approval or citation; Option 3 permits free use.
Academic Integrity
Normalized value: misconduct_if_banned_or_instructor_guidance_violated
Original evidence
Evidence 1이 옵션을 선택할 경우, 학습자가 수업활동이나 과제 등을 수행하는 데 생성형 AI를 사용할 시 부정행위로 간주한다. ... 강의계획서에 명시된 지침 또는 교수자가 별도 제시한 지침을 준수하지 않거나 생성형 AI를 부적절하게 사용한 것으로 판단될 시, 부정행위로 간주될 수 있음을 인지한다.
Localized display only
If the complete-ban option is selected, student use of generative AI for class activities or assignments is considered misconduct; students should understand that violating syllabus or instructor guidance may be considered misconduct.
Academic Integrity
Normalized value: student_responsibility_for_integrity_and_accuracy
Original evidence
Evidence 1생성형 AI를 이용한 결과물의 진실성에 대한 책임은 학습자에게 있음을 인지한다. 생성형 AI를 활용한 결과물에 대해서 사실여부를 확인하는 절차를 거친다.
Localized display only
Students should understand they are responsible for the integrity of outputs produced using generative AI and should verify whether those outputs are factual.
0 machine or needs-review claim
1 source attribution
aiguide.cau.ac.kr