University AI Policy Tracker
APIGitHub
Language
ENZHFRPL

Seoul, South Korea

Hanyang University

Last checkedMay 15, 2026Last changedMay 15, 2026Review: Agent reviewedConfidence91%
Public JSONChange logMonthly reportCitation rulesDataset accessAnalysis JSONSubmit correction
Public JSONCitation rules
More tools

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources2Source languagekoPublic JSON/api/public/v1/universities/hanyang-university.json

Policy profile

Analysis JSONAnalysis review
Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence74%

Coursework

Hanyang University has 1 source-backed public claim for coursework; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence75%Evidence1Sources1
Claim cl-hanyang-ai-learning-instructor-guidance

Privacy and data entry

Hanyang University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence1Sources1
Claim cl-hanyang-ai-privacy-security

Academic integrity

Hanyang University has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence75%Evidence1Sources1
Claim cl-hanyang-ai-learning-instructor-guidance

Teaching guidance

Hanyang University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence75%Evidence1Sources1
Claim cl-hanyang-ai-learning-instructor-guidance

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

Tools directory
Derived tool records5

ChatGPT

Hanyang University

Tool
ChatGPT
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed
Sources
Source 1Source 2

Claude

Hanyang University

Tool
Claude
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed
Sources
Source 1Source 2

Google Gemini

Hanyang University

Tool
Google Gemini
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed
Sources
Source 1Source 2

Microsoft Copilot

Hanyang University

Tool
Microsoft Copilot
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed
Sources
Source 1Source 2

Perplexity

Hanyang University

Tool
Perplexity
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed
Sources
Source 1Source 2

Evidence-backed claims

4 reviewed evidence-backed public claim

Privacy

Hanyang University's AI@Hanyang guidance advises users not to enter personal information, confidential information, or other sensitive information into AI, and to use generative AI carefully because of security limits.

Review: Agent reviewedConfidence91%

Normalized value: do_not_enter_sensitive_information_into_ai

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
보안 및 개인정보 보호 개인정보나 기밀정보 등 민감한 정보를 AI에 입력하지 않아야 합니다. 생성형 AI의 보안 한계를 인지하고 신중하게 사용해야 합니다.

Localized display only

For security and privacy protection, the guide says not to enter personal, confidential, or other sensitive information into AI and to use generative AI carefully.

Source language
ko
Snapshot hash
88e9286d4ba56f8d081fbbc9083880a8f3c175a7cf23ecad1bb4825418d827a6
Retrieved
May 15, 2026
Evidence locator
AI 활용 윤리 > 활용 시 유의사항 > 보안 및 개인정보 보호

Academic Integrity

Hanyang University's AI@Hanyang guidance frames generative AI as a tool to support rather than replace learning, and says learners should follow instructor-provided AI guidelines and transparently disclose whether and how they used AI.

Review: Agent reviewedConfidence88%

Normalized value: students_follow_instructor_guidance_and_disclose_ai_use

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
생성형 AI는 학습을 대체하는 도구가 아닌 학습을 보조하는 도구로 활용해야 합니다. 학습자는 교수자가 제시한 AI 활용 가이드라인을 철저히 따라야 합니다. 학습자는 교수자에게 AI 활용 여부와 범위를 투명하게 공개해야 합니다.

Localized display only

Generative AI should support rather than replace learning. Learners should follow the instructor's AI-use guidelines and transparently disclose whether and how they used AI.

Source language
ko
Snapshot hash
88e9286d4ba56f8d081fbbc9083880a8f3c175a7cf23ecad1bb4825418d827a6
Retrieved
May 15, 2026
Evidence locator
AI 활용 윤리 > 활용 시 유의사항 > 학습 도구로서의 올바른 인식 / 교수자와의 합의 및 지침 준수

Research

Hanyang University's AI@Hanyang guidance says users need to check original sources and verify facts when using AI-provided information because generative AI can create false sources, biased information, or inaccurate citations.

Review: Agent reviewedConfidence88%

Normalized value: verify_ai_outputs_against_original_sources

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
생성형 AI는 기존 검색엔진과 달리 실제 존재하는 정보를 검색하여 제시하는 것이 아니라, 학습된 데이터를 바탕으로 새로운 텍스트를 생성합니다. 이 과정에서 다음과 같은 문제가 발생할 수 있습니다. 허위정보 생성: AI가 실제로 존재하지 않는 출처나 인용문을 만들어낼 수 있습니다. 편향된 정보: 학습 데이터에 포함된 편향성이 답변에 반영될 수 있습니다. 따라서 AI가 제공한 정보는 반드시 원본 출처를 확인하고 사실관계를 검증할 필요가 있습니다.

Localized display only

The guide says generative AI creates text from training data and may produce nonexistent sources or quotes or biased information, so users need to check original sources and verify facts.

Source language
ko
Snapshot hash
88e9286d4ba56f8d081fbbc9083880a8f3c175a7cf23ecad1bb4825418d827a6
Retrieved
May 15, 2026
Evidence locator
AI 활용 윤리 > 활용 시 유의사항 > 정보의 정확성과 신뢰성 검증

Ai Tool Treatment

Hanyang University's AI@Hanyang guide describes generative AI tool categories for academic and research support and lists text-generation examples including ChatGPT, Google Gemini, Claude, Perplexity, and Microsoft Copilot.

Review: Agent reviewedConfidence82%

Normalized value: ai_tool_categories_and_examples_listed

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
학업·연구 지원 생성형 AI 도구 생성형 AI는 생성되는 콘텐츠의 유형에 따라 텍스트, 이미지, 음성, 음악, 비디오 등으로 구분할 수 있습니다. 텍스트 생성 ChatGPT Google Gemini Claude Perplexity Microsoft Copilot

Localized display only

The guide lists generative AI tools for academic and research support by content type, including text-generation examples: ChatGPT, Google Gemini, Claude, Perplexity, and Microsoft Copilot.

Source language
ko
Snapshot hash
3d7631ebcd436bf6a30f15d2a44291038458d6d2e5093dbc56299b9e4d6f70b4
Retrieved
May 15, 2026
Evidence locator
생성형 AI 가이드 > 생성형 AI란? > 학업·연구 지원 생성형 AI 도구

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Change log

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

Corrections

Open contribution pathsReview workflow
Back to universities