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)
Chung-Ang University (CAU) is listed as QS 2026 rank 479. Chung-Ang University (CAU) has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Chung-Ang University (CAU) is listed as QS 2026 rank 479. Chung-Ang University (CAU) has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Chung-Ang University (CAU) as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/chung-ang-university-cau.json. The entity-level confidence is 94%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Chung-Ang University (CAU) has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Chung-Ang University (CAU) has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Chung-Ang University (CAU) has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
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.
Academic integrity
Chung-Ang University (CAU) has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Chung-Ang University (CAU) has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
Chung-Ang University (CAU) has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
Chung-Ang University (CAU) has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
5 reviewed evidence-backed public claim
Source Status
Chung-Ang University has an official Korean-language generative AI guidance page, established on 2023-04-20 and revised on 2024-04-09, administered by Library & Academic Information Services.
Review: Agent reviewed
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
CAU recommends that instructors choose one of three generative AI use options and state the selected approach in the syllabus.
Review: Agent reviewed
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
CAU's guidance frames generative AI course use as instructor-selected options: complete ban, use with prior instructor approval or citation, or full permission.
Review: Agent reviewed
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
CAU's guidance says generative AI use can be considered academic misconduct when used in a class where AI is completely banned or when students fail to follow syllabus or instructor guidance.
Review: Agent reviewed
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
CAU's student guidance says students are responsible for the integrity of outputs produced with generative AI and should verify the accuracy of those outputs.
Review: Agent reviewed
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.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
1 source attribution
생성형 AI 규제 및 가이드라인 - 중앙대학교 생성형 AI 활용 안내 사이트
aiguide.cau.ac.kr
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.