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 reviewed
Change log
Hanyang University
Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.
Change summary
Current public record freshness and review state.
Hanyang University currently has 4 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 15, 2026.
This tracker 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.
Claim/evidence diff preview
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Hanyang University current policy evidence
Inserted lines represent current public claim and evidence records in the source-backed dataset.
+8-0
11 # Hanyang University AI policy record
2+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.
3+Evidence (ko, 88e9286d4ba5): 보안 및 개인정보 보호 개인정보나 기밀정보 등 민감한 정보를 AI에 입력하지 않아야 합니다. 생성형 AI의 보안 한계를 인지하고 신중하게 사용해야 합니다.
4+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.
5+Evidence (ko, 88e9286d4ba5): 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.
6+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.
7+Evidence (ko, 88e9286d4ba5): 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.
8+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.
9+Evidence (ko, 3d7631ebcd43): 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
Claim changes
4 claim records
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 reviewed
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 reviewed
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 reviewed
Source snapshots
2 source attributions
생성형 AI란? - AI@Hanyang
official_guidance checked May 15, 2026
활용 시 유의사항 - AI@Hanyang
official_guidance checked May 15, 2026