Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Hong Kong, Hong Kong SAR
Hong Kong Metropolitan University
Hong Kong Metropolitan University has 5 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 20, 2026.
Hong Kong Metropolitan University AI policy short answer
v1 public contract
Hong Kong Metropolitan University has 5 source-backed AI policy claims from 2 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: Hong Kong Metropolitan University is listed as QS 2026 rank 781-790.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Hong Kong Metropolitan University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 5 source-backed claims, including 5 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-metropolitan-university.json. The entity-level confidence is 96%. 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 Privacy claims.
- Evidence includes AI tool treatment claims.
- Named AI services detected in public claims: ChatGPT.
- 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.
- Privacy, sensitive-data, or security 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 Metropolitan University has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Hong Kong Metropolitan University has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Hong Kong Metropolitan University has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Hong Kong Metropolitan University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Hong Kong Metropolitan University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Hong Kong Metropolitan University has 2 source-backed public claims for approved tools; deterministic analysis status: recommended.
Named AI services
Hong Kong Metropolitan University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Hong Kong Metropolitan University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Hong Kong Metropolitan University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
5 reviewed evidence-backed public claim
Academic Integrity
HKMU's student generative-AI guidelines say inappropriate AI use, including use without proper acknowledgment or in violation of course guidelines, will be treated as academic misconduct.
Review: Agent reviewed
Normalized value: inappropriate_ai_use_without_acknowledgment_or_against_course_guidelines_is_academic_misconduct
Original evidence
Evidence 1Any inappropriate use of AI, including using AI without proper acknowledgment or in violation of course guidelines, will be treated as academic misconduct.
Privacy
HKMU's generative-AI guidelines say users must never input confidential, sensitive, or personal data into generative-AI tools, especially tools not supported by HKMU.
Review: Agent reviewed
Normalized value: users_must_not_input_confidential_sensitive_or_personal_data_into_generative_ai_tools
Original evidence
Evidence 1Users must never input confidential, sensitive, or personal data into generative AI tools, especially those not supported by HKMU.
Academic Integrity
HKMU's student generative-AI guidelines require students completing assignments to submit an OLE declaration indicating whether generative-AI tools were used and, if used, which tool was used and how it contributed.
Review: Agent reviewed
Normalized value: students_required_to_declare_generative_ai_use_on_ole_for_assignments
Original evidence
Evidence 1When completing assignments, students are required to submit a declaration on the Online Learning Environment (OLE) indicating whether generative AI tools were used.
Ai Tool Treatment
HKMU's generative-AI guidelines say students have access to the ChatGPT Web Portal powered by Azure Open AI for teaching, learning, research, and work-related purposes, with usage monitoring and possible quotas.
Review: Agent reviewed
Normalized value: students_have_access_to_hkmu_chatgpt_web_portal_powered_by_azure_open_ai
Original evidence
Evidence 1HKMU provides students with access to the ChatGPT Web Portal, powered by Azure Open AI, for teaching, learning, research, and work-related purposes.
Ai Tool Treatment
HKMU's AI@HKMU position statement frames ChatGPT and similar tools as supplements to coursework and says ChatGPT should not be relied upon solely to complete assignments.
Review: Agent reviewed
Normalized value: chatgpt_positioned_as_supplement_not_sole_assignment_completion_tool
Original evidence
Evidence 1While ChatGPT can be a useful tool, it should not be relied upon solely to complete assignments. Instead, students should embrace and harness ChatGPT, or similar tools, like they would use a calculator or an encyclopaedia, as a supplement to their coursework.
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 for the Use of Generative AI (for Students)
hkmu.edu.hk
Our Position Statement on ChatGPT
hkmu.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.