Do
- Ask the instructor for applicable task guidance.
- Cite sources and submit your own findings honestly.
- Check whether the case concerns coursework or a thesis.
Hong Kong, Hong Kong SAR
Hong Kong Baptist University
Student guide · Task scope and procedure
Ask for the task guidance and retain your authorship.
Public AI principles and integrity outcomes are available. Student-only guidance and full service terms were not acquired; coursework and research-thesis outcomes differ.
A complete student policy summary is not available yet; see the collected claims and sources.
Scope and transition details
Public AI principles and integrity outcomes are available. Student-only guidance and full service terms were not acquired; coursework and research-thesis outcomes differ.
Don't
- Do not treat public principles as full assessment permission.
- Do not treat an F or dismissal as automatic for AI use.
- Do not infer free platform or upload rights from a listing.
What happens if AI use raises a concern?
Supplement collected: 2026-10-09 · Current applicability not independently confirmed
How you can respond
Site interpretation
The integrity guide requires students to submit their own work, present findings honestly, cite sources and seek instructor clarification when uncertain. These are general integrity responsibilities.
Scope: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
View original text and conditions
Scope: Students in the cited programme/course/stage only · university
It is students’ responsibility to:
• understand what academic integrity is and take diligent care to avoid dishonest
behaviors and/or actions;
• ensure that the material(s) submitted for assessment is/are their own work and present
their findings or data in an honest manner;
• properly cite or reference the sources of their work; and
• seek advice, clarifications, or assistance from their instructors when in doubt.View official source ↗Collected: 2026-10-09 · 90–96
SHA-256: 8ef80821b61a88a249728bbb152b134f9d02d8bb1d097e04adc7f682a76a50b0
Possible outcomes
Site interpretation
For course-based assessment, an F may be assigned and serious or repeated cases may be referred to the SDP. Research postgraduate and professional-doctoral thesis-stage cases instead involve the Exam Panel or Board of Examiners, which may fail the exam, terminate candidacy or allow resubmission. These are possible scoped outcomes, not automatic AI penalties.
Scope: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
View original text and conditions
Scope: Students in the cited programme/course/stage only · university
Conditions & exceptions
Coursework and thesis-stage procedures differ; full disciplinary/appeal procedure not acquired.
The gist of these penalties is as follows:
Sub-degree/Undergraduate/Taught Postgraduate Studies by Coursework and
Coursework in Research Postgraduate Studies
1. If academic dishonesty is found in course-based assessment, an “F” grade may
be assigned to the course.
2. For more serious or repeated cases, more stringent disciplinary action may be
taken by the Student Disciplinary Panel (SDP) in addition to assigning an "F”
grade for the course, upon the referral of the case to the SDP.
Research Postgraduate Studies and Thesis Stage for Professional Doctoral Studies
If academic dishonesty is found in the process of qualifying examination, candidature
examination, or in the submission of a research prospectus/thesis/dissertation, the Exam
Panel or Board of Examiners will levy a sanction as they deem appropriate, such as to
fail the exam or terminate the candidacy of the student concerned. The Panel may allow
re-submission of work. More serious or repeated cases should be referred to the SDP.View official source ↗Collected: 2026-10-09 · 329–343
SHA-256: 8ef80821b61a88a249728bbb152b134f9d02d8bb1d097e04adc7f682a76a50b0
Support & adjustments
Site interpretation
The public CHTL page sets out empowering, critical and ethical AI principles, effective from AY2023/24. It identifies separate staff and May 2025 student assessment guidance, but their captured downloads redirect to login. These principles alone do not establish task permission or a complete disclosure rule.
Scope: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
View original text and conditions
Scope: Students in the cited programme/course/stage only · university
Conditions & exceptions
Student-only and staff-only guidance not acquired; explicit permission/disclosure gap.
Principles for the Use of Generative AI Tools in Teaching and Learning, and Assessment @ HKBU
Approved by the Senate in June 2023, effective from AY2023/2024
Play
Play
AI-Empowering : to embrace generative AI and empower students and instructors to realise the potential of generative AI tools as part of the university’s knowledge creation and teaching and learning ecosystem
AI-Critical : to encourage healthy, informed scepticism of generative AI and develop students’ and instructors’ critical thinking and awareness of the strengths, drawbacks and limitations of generative AI tools
AI-Ethical : to maintain academic integrity, transparency and the ethical use of generative AI tools
Build and sustain human uniqueness : to recognise the importance of students and instructors as unique individuals with lived experiences, knowledge, skills and attributes. Provide space and time for individuals to understand and develop themselves as unique individuals within the university teaching and learning ecosystem
You can either download the principles directly through the button below or by logging into BUniport to access.
(U-Wide Policies & Info → Policies & Guidelines → Quality Assurance, Teaching & Learning)
Download (Staff and Student)
Advisory Guidelines Pertaining to the Use of Generative AI Tools in Assessed Assignment Tasks @ HKBU (Staff Only)
Approved by the Senate in June 2023, effective from AY2023/2024
You can either download the guidelines directly through the the button below or by logging into BUniport to access.
(U-Wide Policies & Info → Policies & Guidelines → Quality Assurance, Teaching & Learning)
Download (Staff Only)
Advisory Guidelines Pertaining to the Use of Generative AI Tools in Assessed Assignment Tasks @ HKBU (Student Only)
Prepared by the eLearning Committee in May 2025
Download (Student Only)View official source ↗Collected: 2026-10-09 · 105–123
SHA-256: b3bdc34c5ec04a4b8c8f9db76a3edacbac5808c013a58b227a69e417178cb712
Site interpretation
CHTL identifies an HKBU GenAI Platform using third-party models and free LinkedIn Learning access for staff and students. The platform landing capture is JavaScript-only; this public description does not establish model entitlement, cost or data-upload approval.
Scope: Students in the cited programme/course/stage only · Only the captured source, version, audience and conditions; no exhaustive currency certification.
View original text and conditions
Scope: Students in the cited programme/course/stage only · university
Conditions & exceptions
Platform access and terms not acquired; no universal free GenAI inference.
HKBU GenAI Platform
The HKBU GenAI Platform (“GenAI Platform”) is based on the generative artificial intelligence (“AI”) language model developed by third-party AI service providers including Anthropic , Google, Meta AI and OpenAI.
Other Resources
AI Tools & Resources for Higher Education by Northwest Nazarene University
Guidance for generative AI in education and research by UNESCO
Generative AI related training courses in LinkedIn Learning
HKBU staff and students can access LinkedIn Learning for freeView official source ↗Collected: 2026-10-09 · 124–130
SHA-256: b3bdc34c5ec04a4b8c8f9db76a3edacbac5808c013a58b227a69e417178cb712
Collection & version notes
Published source-based additions. English summaries and original-language quotations are shown separately from the reviewed record. These are possible processes and outcomes, not automatic penalties for AI use. Present applicability has not been independently confirmed; check the source scope and version.
Source-text comparison; not an official translation
Hashes allow comparison of saved content; they do not certify current validity or immutability. These topics are not a mandatory sequence.
AI tools & access
Tool access is not permission to use AI in an assessment. Check your assignment rules, eligible users and data restrictions.
Archived tool record; consult the official source for current access.
- HKBU GenAI PlatformOfficial recommendationRecorded as allowed in the source scope
Access, conditions & official evidence
HKBU's GenAI Platform is provided to all HKBU staff and students and is based on third-party AI providers' language models.
Sign in using HKBU SSOid.
Not specified by the cited source.
Source 1 ↗Original quotation
HKBU GenAI Platform is provided to all HKBU staff and students. Sign in with HKBU SSOid. HKBU states that the platform is based on language models from third-party AI service providers including Anthropic, Google, Meta AI and OpenAI.
- HKBU GenAI Platform (public description only)Listed in the institutional services directoryAvailability not established
Access, conditions & official evidence
CHTL describes third-party model providers. The platform landing and restricted terms were not acquired; current student access and upload conditions remain unverified.
Consult institutional instructions; captured listing does not establish login eligibility.
Not established.
Supplement source review date:
Source 1 ↗Original quotation
HKBU GenAI Platform The HKBU GenAI Platform (“GenAI Platform”) is based on the generative artificial intelligence (“AI”) language model developed by third-party AI service providers including Anthropic , Google, Meta AI and OpenAI. Other Resources AI Tools & Resources for Higher Education by Northwest Nazarene University Guidance for generative AI in education and research by UNESCO Generative AI related training courses in LinkedIn Learning HKBU staff and students can access LinkedIn Learning for free
Reviewed record
Reviewed claims
7 reviewed claims
Academic Integrity2 reviewed claims
Academic Integrity
HKBU student academic-integrity guidance treats copying AI-generated output without acknowledging that use as improper use of generative AI.
Review: Agent reviewed
Original evidence
Evidence 1Improper use of Generative AI involves: copying from an output, text or non-text, generated by AI without acknowledging such use.
Academic Integrity
HKBU student academic-integrity guidance says academic dishonesty can lead to disciplinary actions, including reduced or failing grades, suspension, or academic dismissal.
Review: Agent reviewed
Original evidence
Evidence 1The consequences of cheating in examinations, plagiarism, and other forms of academic dishonesty include reduced or failure grades, suspension of study, or even academic dismissal.
Teaching2 reviewed claims
Teaching
HKBU describes its Principles for the Use of Generative AI Tools in Teaching and Learning, and Assessment as Senate-approved in June 2023 and effective from AY2023/2024.
Review: Agent reviewed
Original evidence
Evidence 1Principles for the Use of Generative AI Tools in Teaching and Learning, and Assessment @ HKBU. Approved by the Senate in June 2023, effective from AY2023/2024.
Teaching
HKBU presents four generative-AI teaching and learning principles: AI-Empowering, AI-Critical, AI-Ethical, and building and sustaining human uniqueness.
Review: Agent reviewed
Original evidence
Evidence 1AI-Empowering: to embrace generative AI and empower students and instructors... AI-Critical: to encourage healthy, informed scepticism... AI-Ethical: to maintain academic integrity, transparency and the ethical use of generative AI tools... Build and sustain human uniqueness
Ai Tool Treatment2 reviewed claims
Ai Tool Treatment
HKBU GenAI Platform is listed for Hong Kong Baptist University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
Review: Agent reviewed
Normalized value: {"tool":"institutional_ai_service","rawToolName":"HKBU GenAI Platform","description":"HKBU's GenAI Platform is provided to all HKBU staff and students and is based on third-party AI providers' language models.","howToObtain":"Sign in using HKBU SSOid.","costToUser":"Not specified by the cited source.","availability":"allowed","endorsementType":"officially_endorsed"}
Original evidence
Evidence 1HKBU GenAI Platform is provided to all HKBU staff and students. Sign in with HKBU SSOid. HKBU states that the platform is based on language models from third-party AI service providers including Anthropic, Google, Meta AI and OpenAI.
Localized display only
HKBU GenAI Platform is provided to all HKBU staff and students. Sign in with HKBU SSOid. HKBU states that the platform is based on language models from third-party AI service providers including Anthropic, Google, Meta AI and OpenAI.
Ai Tool Treatment
HKBU identifies its GenAI Platform as based on generative-AI language models developed by third-party providers including Anthropic, Google, Meta AI, and OpenAI.
Review: Agent reviewed
Original evidence
Evidence 1The HKBU GenAI Platform (“GenAI Platform”) is based on the generative artificial intelligence (“AI”) language model developed by third-party AI service providers including Anthropic, Google, Meta AI and OpenAI.
Source Status1 reviewed claim
Source Status
HKBU states that its e-Learning Committee established the Generative AI Tools Task Force to develop principles, guidelines, and policies for use of generative AI tools in the university.
Review: Agent reviewed
Original evidence
Evidence 1The e-Learning Committee (ELC) established the Generative AI Tools Task Force (GAITF) to develop principles, guidelines, and policies for the use of generative AI tools in the University.
Source record
Official sources
3 sources
Open official source list
Guidelines on Academic Integrity for Students
ar.hkbu.edu.hk
- Snapshot hash
- 5b33bdce…
HKBU GenAI Platform
genai.hkbu.edu.hk
- Source URL
- https://genai.hkbu.edu.hk/
- Snapshot hash
- edab0ef7…
T&L with AI @ HKBU
chtl.hkbu.edu.hk
- Source URL
- https://chtl.hkbu.edu.hk/ai-hkbu.html
- Snapshot hash
- caad50c8…
Record information, JSON & citation
Citation: University AI Policy Tracker. "Hong Kong Baptist University AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/hong-kong-baptist-university
Original university source language remains canonical. This tracker is not an official university statement.
Open change logSaved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.