Policy presence
Hong Kong Baptist University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hong Kong, Hong Kong SAR
Hong Kong Baptist University
Hong Kong Baptist University is listed as QS 2026 rank =244. Hong Kong Baptist University has 6 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Hong Kong Baptist University is listed as QS 2026 rank =244. Hong Kong Baptist University has 6 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Hong Kong Baptist University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/hong-kong-baptist-university.json. The entity-level confidence is 94%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes Source status claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
Hong Kong Baptist University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Hong Kong Baptist University has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Hong Kong Baptist University has 5 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Hong Kong Baptist University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Hong Kong Baptist University has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
Named AI services
Hong Kong Baptist University has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Teaching guidance
Hong Kong Baptist University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
6 reviewed evidence-backed public claim
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.
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.
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
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.
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.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
2 source attribution
Guidelines on Academic Integrity for Students
ar.hkbu.edu.hk
T&L with AI @ HKBU
chtl.hkbu.edu.hk
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.