University AI Policy Tracker
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十校政策记录与证据修订

更正芝加哥工具分类：目录准入不等于校方推荐；Chrome AI 扩展须按具体用途审核。保留原有证据、获取条件及考核规则。这是 Tracker 记录更正，不代表大学新颁政策。

历史修订：以下记录数与主张集合以本版发布时为准，现行记录另见最新修订。

· v6-chicago-tools-20261014

版本化变更与依据 JSON

查看上一版 V6 发布记录

记录修订、适用范围与原文

原文与人员、课程、学部范围保留。网站修订时间不是大学政策生效时间。

4520f308ad31ae571ee400a0a8e37b899ac91af21f3279369bd4a634b64c8134

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旧基线与旧审核记录
  • clm-hku-genai-senate-approved — HKU's Guidelines on the Responsible Use of Generative AI in Research were formally approved by the Senate on September 23, 2025 and are now in effect.
  • cl-the-university-of-hong-kong-chatgpt-61 — ChatGPT in HKU GenAI App is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-dalle-62 — GPT Image in HKU GenAI App is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-deepseek-63 — DeepSeek in HKU GenAI App is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-gemini-64 — Gemini in HKU GenAI App is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-github-copilot-65 — GitHub Copilot Pro is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-glm-66 — GLM in HKU GenAI App is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-institutional-ai-service-67 — HKU AI Computing Platform is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-institutional-ai-service-68 — HKU GenAI App is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-microsoft-copilot-for-m365-69 — Microsoft 365 Copilot is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • cl-the-university-of-hong-kong-qwen-70 — Qwen in HKU GenAI App is listed by HKU for the specified institutional or eligibility-based service. Access conditions apply and do not establish coursework or examination permission.
  • clm-hku-genai-disclosure-required — HKU states that researchers should clearly disclose generative AI tool usage in research outputs, publications, and presentations, including the type of GenAI used, data sources, and potential limitations.
  • clm-hku-genai-data-privacy — HKU states that input data used with generative AI should comply with data protection laws and university policies, and that users should avoid sharing sensitive, confidential, or proprietary information with GenAI platforms.
  • clm-hku-genai-researcher-accountability — HKU holds researchers responsible for the outputs generated by generative AI and their implications; GenAI should be used as a support tool, not a substitute for critical analysis and human expertise.
  • clm-hku-genai-ip-respect — HKU states that researchers should ensure generative AI use does not infringe existing intellectual property rights or compromise research output ownership.
  • clm-hku-genai-institutional-policy — HKU's GenAI research guidelines are positioned as an institutional policy under the Research Integrity framework, approved by Senate in September 2025.
  • clm-hku-research-ideation-conditions — HKU permits GenAI for research ideation and background research only with documentation and acknowledgement, verification of accuracy, fairness and originality, fair representation and citation of primary sources, and protection against inevitable disclosure of patentable inventions.
  • clm-hku-research-data-analysis-conditions — HKU allows GenAI for experimentation, data collection and analysis only with documentation, fit-for-purpose and data verification, participant confidentiality and prior consent for disclosure beyond the study, protection of proprietary or agreement-controlled data, and applicable ethics-approved participant information for ultra-realistic generated materials.
  • clm-hku-research-code-verification — HKU permits GenAI-generated research code only with documented and acknowledged use, verification of algorithms and software, and adequate testing that is conducted and reported.
  • clm-hku-research-code-skills — Researchers lacking the training to verify algorithms, source code and software tests should not use GenAI to generate research code; they should collaborate with researchers who can take responsibility for the software and analysis.
  • clm-hku-research-interpretation-restriction — In general, HKU does not allow GenAI-generated text or figures that constitute interpretation of research findings. Unavoidable use should be limited in scope, acknowledged and reported.
  • clm-hku-research-output-documentation — HKU requires the specific use of GenAI in the research process to be duly documented and acknowledged, in addition to citing human authors of published work. Authors remain responsible for all statements and claims in research outputs.
  • clm-hku-thesis-writing-human-input — GenAI language editing and translation of author-written text are generally acceptable at HKU, subject to review, accuracy and bias checks and publisher acknowledgement rules. Direct or extensive GenAI use in thesis writing without significant human input is not allowed.
  • clm-hku-research-images-integrity — GenAI enhancement of research figures containing primary data is acceptable only if it does not alter interpretation. AI-generated images or other data should not be misrepresented as experimental data.
  • clm-hku-research-peer-review-restriction — HKU does not accept use of GenAI in peer review of research outputs or funding applications because of integrity and confidentiality concerns.
  • clm-hku-research-supervisor-approval-thesis-declaration — Students and research assistants should seek supervisor approval for planned research use of GenAI and document the use. Research students should declare and specify such use at thesis submission for examination.
  • clm-hku-assessment-instructor-instructions — HKU TALIC guidance requires teachers to clearly communicate acceptable AI use for course activities and assessed assignments. Instructors decide how to integrate AI; institutional tool access does not determine permission for a particular assessment.
  • clm-hku-ai-misrepresentation-integrity — HKU TALIC guidance identifies misuse of AI or misrepresentation of AI work as independent creative work as violations of HKU regulations, with referral to the university disciplinary committee. This statement does not establish an automatic sanction.
  • clm-hku-law-permitted-ai-declaration — HKU Faculty of Law requires students to declare AI use on its assignment cover sheet where a teacher permits it for an assignment; failure to declare is treated as academic misconduct akin to plagiarism.
  • clm-hku-law-ai-misuse-responses — For HKU Faculty of Law assessed work, an educative response may involve rewriting and resubmission with a penalty. Where this is not appropriate, an academic response may reduce the mark or give zero. Misuse may also be referred as a disciplinary offence; this is not automatic expulsion.
  • clm-hku-genai-personal-data-consent — HKU GenAI App and API users who use personal data are responsible for obtaining explicit consent from data subjects, masking data and complying with applicable data-protection governance. Users are strictly advised against sharing PII or confidential University information in web-search-enabled prompts.

The full internal teaching-and-learning policy requires HKU Portal access and was not obtained. Public TALIC guidance and scoped Faculty of Law rules are separately identified.

The institution-wide audit remains PARTIAL: current MALCS programme rules, general disciplinary appeal details and reconstruction of the historical ITS batch hash remain unresolved.

ITS pages were independently retrieved through a rendered-page reader after direct collector robots retrieval failed. Their snapshots bind normalized extracted text, not original HTTP response bytes. Tool access and credits are not assessment permission.