记录修订

The Chinese University of Hong Kong (CUHK)

这里记录本站已审核资料的更新,不代表学校发布了新政策。

本站发布时间不等于学校政策生效时间。

修订版本: v6-target-r7-candidate-20261021 ·

前一记录修订: baseline-v6-pages-20261013

这次记录更新意味着什么

结构化记录概览

涉及 24 条 (更正/调整 16 · 补录 8)

AI 工具使用规则 · 教学 · 另 6 个主题

本次修订尚无经独立审核的摘要。

这是历史记录摘要,不确认当前使用权限,也不证明学校发布了新规。

数据安全 · 涉及 2 条 (更正/调整 2)

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旧文本

CUHK's student AI guide establishes ethical principles of accountability, transparency, and acknowledgement for AI tool use. Users are accountable for AI-generated outputs and must fact-check all outputs.

新文本

CUHK's Enterprise AI Hub instructs users not to enter personal data, confidential information, restricted research data or other protected University information unless the specific service and use case have been approved for that data.

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旧文本

CUHK advises using Microsoft Copilot with CUHK institutional sign-in for data protection, as user and business data is protected and not used to train underlying models.

新文本

CUHK ITSC's Copilot Chat (Basic) guidance directs users to sign in with their CUHK account and check the enterprise data protection indicator. It says Microsoft will not use prompts to train its AI model and advises users not to enter personal or private information. Separately, the Enterprise AI Hub requires approval of the specific service and use case before protected University information is entered.

学术诚信 · 涉及 7 条 (更正/调整 3 · 补录 4)

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For disciplinary cases handled directly by the Senate Committee on Student Discipline (such as exceptionally serious cases or recommended penalties lower than guidelines), students may lodge a written appeal with full justifications DIRECTLY to the Senate Committee on Student Discipline within 7 working days of notification under Senate procedures (effective from AY2025-26, updated July 2026).

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新增

A CUHK student may lodge a written appeal with full justifications against a first-instance disciplinary decision or recommendation made by a faculty/college disciplinary committee or FTP Committee to the Senate Committee on Student Discipline (SCSD) THROUGH the first-instance committee within 7 working days of notification under Senate procedures (effective from AY2025-26, updated July 2026).

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Before deciding on academic dishonesty cases at CUHK, the disciplinary committee or FTP Committee must inform the student of the alleged offence, share the VeriGuide report extract, and give the student the opportunity to attend an interview or hearing with an accompanying person under Senate procedures (effective from AY2025-26, updated July 2026).

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At CUHK, suspected academic dishonesty cases are handled by the disciplinary committee of the faculty, college, office, or centre that offers the course; for MBChB students, cases in courses offered by the Faculty of Medicine are handled by the Fitness to Practice (FTP) Committee under Senate policy (effective from AY2025-26, updated July 2026).

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旧文本

At CUHK, improper or unauthorized use of AI tools in learning activities and assessments constitutes academic dishonesty and is subject to penalties including failure grade, suspension, or termination of studies.

新文本

At CUHK, improper or unauthorized use of AI tools in learning activities and assessments constitutes academic dishonesty (including plagiarism or unauthorized third-party assistance) under Senate policy (effective from AY2025-26, updated July 2026), subject to penalties ranging from zero marks to demerits, suspension, or termination of studies, adjudicated by the course-offering faculty/college or the Faculty of Medicine Fitness to Practice (FTP) Committee.

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CUHK penalties for academic dishonesty involving AI tools may include reviewable/permanent demerits, failure grade, suspension, lowering degree classification, and termination of studies.

新文本

Penalties for academic dishonesty involving AI tools at CUHK may include zero marks on the assessment, marking down of overall course grade, a demerit recorded on academic transcript, or course failure (e.g. assignments with VeriGuide AWD AI Index > 25% under Approach 2 in GECC3130/4130 may receive a failing grade), and for severe offences, suspension or termination of studies under Senate procedures (effective from AY2025-26, updated July 2026).

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旧文本

CUHK requires students to declare in each assignment that they have read and understood the University's policy on AI use, complied with course teacher instructions on AI tools, and consent to AI content detection software review.

新文本

In General Education course GECC4130 (AY2026/27), students must submit a signed academic honesty declaration with each assignment confirming awareness of university regulations, and acknowledging that submissions may be investigated by AI content detection software (VeriGuide AWD). A university-wide declaration or prompt-logging rule has not been established in public evidence because the Student Guide to Academic Honesty remains restricted behind ADFS SSO; students follow individual course instructions.

教学指导 · 涉及 1 条 (更正/调整 1)

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CUHK emphasizes responsible and ethical use of generative AI in education, prohibiting unauthorized AI use in assignments while allowing its use under specific conditions with proper citation and permissions.

新文本

CUHK's Enterprise AI Hub instructs users to verify important facts, sources, citations, calculations and generated outputs, and to follow course-level instructions on permitted use and acknowledgement.

安全与采购 · 涉及 1 条 (更正/调整 1)

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CUHK ITSC provides AI Hub @ CUHK as a one-stop hub for AI resources at the University, offering an overview of AI tools and services for teaching, learning, research, and work.

新文本

CUHK's Generative AI API Portal provides controlled programmatic access to approved models and services. Access is by application, separately governed and subject to use-case and security review, with charges subject to an approved central quota or an eligible programme, course, project, research or unit funding source.

教学 · 涉及 4 条 (更正/调整 1 · 补录 3)

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In Chung Chi College General Education course GECC3130 (AY2026/27), Approach 2 ('Use only with prior permission') is adopted: students are strictly prohibited from using generative AI tools to prepare or write any part of written assignments, but may use GenAI solely for spelling and grammar checking; assignments with VeriGuide AWD AI index > 25% may receive a failing grade.

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In Chung Chi College Senior Seminar GECC4130 (AY2026/27), Approach 2 ('Use only with prior permission') is adopted: students are strictly prohibited from using generative AI tools to prepare or write any part of written assignments, but may use GenAI solely for spelling and grammar checking, subject to approval by the Senate Committee on General Education; assignments with VeriGuide AWD AI index > 25% may receive a failing grade.

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CUHK Library regulations forbid the mass downloading, scraping, or uploading of university licensed digital library databases, electronic books, and subscription journals into external AI models or services.

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旧文本

CUHK defines four approaches to AI use in courses: (1) prohibit all use, (2) use only with prior permission, (3) use only with explicit acknowledgement, and (4) free use without acknowledgement requirement.

新文本

CUHK leaves pedagogical AI rules to course teacher discretion. For example, Chung Chi College General Education courses (GECC3130/4130, AY2026/27) adopt Approach 2 ('Use only with prior permission'), where GenAI is prohibited for drafting written assignments but permitted for spelling and grammar checking, subject to approval by the Senate Committee on General Education (university-wide full student guide rules remain unverified behind ADFS SSO).

隐私 · 涉及 2 条 (更正/调整 1 · 补录 1)

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CUHK policies strictly prohibit uploading non-public, confidential, personal, research-sensitive, or proprietary institutional data into unapproved public AI platforms; users must verify commercial data protection (e.g. green shield) before entering university data.

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旧文本

CUHK Library advises users to be aware of privacy policies of AI platforms, to opt out of data being used for model training where possible, and to avoid inputting confidential information into external AI tools.

新文本

CUHK Library and IT guidelines strictly forbid users from entering confidential, personal, research-sensitive, or proprietary institutional data into unapproved public AI platforms, and prohibit scraping or uploading university licensed digital library databases and electronic resources into external AI models.

研究 · 涉及 1 条 (更正/调整 1)

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CUHK's AI guide applies to teaching, learning, and assessments. For research contexts (capstone courses, theses), students must also refer to separate Guidelines on the Responsible Use of AI for Research.

新文本

CUHK Library's AI education and research guide links to 'Guidelines on the Responsible Use of AI for Research' in Schedule 11 of the Research Policy, marked as requiring login for CUHK staff and RPG students. This review has not retrieved that full text and does not establish its substantive research permissions or duties.

AI 工具使用规则 · 涉及 6 条 (更正/调整 6)

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CUHK AI Chatbot for Learning Support is listed for The Chinese University of Hong Kong (CUHK) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.

新文本

CUHK AI Chatbot for Learning Support is a legacy service scheduled for retirement on 31 January 2027; access is provided only to support the transition to the replacement services.

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CUHK AI Chatbot for Teaching Support is listed for The Chinese University of Hong Kong (CUHK) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.

新文本

CUHK AI Chatbot for Teaching Support is a legacy service scheduled for retirement on 31 January 2027; access is provided only to support the transition to the replacement services.

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Microsoft Copilot Chat (Basic) is listed for The Chinese University of Hong Kong (CUHK) in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.

新文本

Microsoft Copilot Chat (Basic) is centrally available to CUHK students and staff at no charge under the current Microsoft 365 licences, with CUHK institutional sign-in. CUHK ITSC describes protected chat data after login. This service availability does not establish permission to use AI in assessments.

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M365 Copilot (Premium) is listed for The Chinese University of Hong Kong (CUHK) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.

新文本

Microsoft 365 Copilot (Premium) is officially endorsed for CUHK. Availability: conditionally_allowed. Centrally provisioned via automatic assignment for eligible Teaching Staff, Non-Teaching Terms A/HA staff with active appointment, and University Management; application or nomination for Part-Time Teaching Staff; departmental payment required for Terms B and additional licenses.

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CUHK provides Microsoft Copilot Chat (Basic) free to all students and staff under the Microsoft 365 license, with enterprise data protection when signed in with CUHK account.

新文本

Microsoft Copilot Chat (Basic) is available to all CUHK students and staff at no charge under the University's current Microsoft 365 licences. CUHK ITSC guidance says that after CUHK login, chat data is protected and would not be stored by Microsoft; users sign in with their CUHK email and DUO authentication and should check the enterprise data protection indicator.

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旧文本

CUHK provides M365 Copilot (Premium) as a charged service for staff, project accounts, and departmental accounts, integrating with Microsoft 365 apps for AI-powered productivity.

新文本

CUHK provides Microsoft 365 Copilot (Premium) with integration into Microsoft 365 applications and institutional context. It is centrally provisioned via automatic assignment for eligible Teaching Staff, Non-Teaching Terms A/HA staff with a current appointment, and University Management; Part-Time Teaching Staff may access via application or nomination; access beyond the amount paid centrally by CUHK (including Non-Teaching Terms B) must be paid by the Faculty, Department, unit or programme.

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