Policy presence
Ewha Womans University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Seoul, South Korea
Ewha Womans University
Ewha Womans University is listed as QS 2026 rank =504. Ewha Womans University has 3 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Ewha Womans University is listed as QS 2026 rank =504. Ewha Womans University has 3 source-backed AI policy claim records from 2 official source attributions. 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 Ewha Womans University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/ewha-womans-university.json. The entity-level confidence is 88%. 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 Academic integrity claims.
- Evidence includes Teaching 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
Ewha Womans University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Ewha Womans University has 1 source-backed public claim for coursework; deterministic analysis status: recommended.
Exams
Ewha Womans University has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
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
Ewha Womans University has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
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
Ewha Womans University 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
3 reviewed evidence-backed public claim
Academic Integrity
Ewha's class-stage AI-use guidance says course guidance may state that copying generative-AI outputs directly into assignments or exams, fabricating or spreading false information with generative AI, infringing copyright with generative AI, or otherwise harming academic truthfulness and trust may be considered misconduct.
Review: Agent reviewed
Normalized value: course_guidance_example_lists_possible_misconduct
Original evidence
Evidence 1단, 다음 행위는 부정행위로 간주될 수 있습니다. 1) 생성형 AI를 활용한 산출물을 복사하여 과제 및 시험에 그대로 붙여 제출하는 행위 2) 생성형 AI를 활용하여 허위 정보를 작성하거나 조작, 유포하는 행위 3) 생성형 AI를 활용하여 타인의 저작권을 불법적으로 침해하는 행위 4) 기타 학문적 진실성과 신뢰성을 해치는 행위
Localized display only
The guidance says directly copying AI outputs into assignments or exams, fabricating or spreading false information with AI, infringing copyright with AI, or harming academic truthfulness and trust may be considered misconduct.
Teaching
Ewha's class-stage AI-use guidance cautions that AI-detection programs can be used to check whether assignments used generative AI, but that such tools are not yet perfect and ethical use should be discussed with students.
Review: Agent reviewed
Normalized value: ai_detection_caution
Original evidence
Evidence 1AI 탐지 프로그램을 활용하여 과제 결과물의 생성형 AI 등의 사용 여부를 확인할 수 있습니다. 그러나 아직까지 탐지 프로그램을 사용한다고 하더라도 완벽하게 판단하기는 어렵습니다.
Localized display only
The guidance says AI-detection programs may be used to check AI use in assignments, but even with detection programs it is still difficult to judge perfectly.
Teaching
Ewha's class-stage AI-use guidance presents course-level generative-AI use as something instructors may define by explaining whether and how AI use is allowed and by asking students to disclose how they used generative AI in assignments.
Review: Agent reviewed
Normalized value: instructor_defined_course_scope_and_disclosure_examples
Original evidence
Evidence 1본 교과에서 생성형 AI의 활용 여부, 활용 방법 등은 교수자의 안내를 따르는 것을 원칙으로 합니다.
Localized display only
The course example says whether and how generative AI may be used follows the instructor's guidance.
Original evidence
Evidence 2생성형 AI를 활용했을 경우, 어떻게 사용하였는지에 대해 과제에 명확히 밝힌다.
Localized display only
The guidance gives as an ethical-use example that, if generative AI was used, the assignment clearly states how it was used.
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
2 source attribution
생성형 AI 활용 윤리지침 | 이화여자대학교 THE BEST 교육 통합지원 서비스
thebest.ewha.ac.kr
수업단계별 AI 활용지침 | 이화여자대학교 THE BEST 교육 통합지원 서비스
thebest.ewha.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.