Policy presence
The University of Hong Kong has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hong Kong, Hong Kong SAR
The University of Hong Kong
The University of Hong Kong has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 5, 2026.
The University of Hong Kong AI policy short answer
v1 public contract
The University of Hong Kong has 6 source-backed AI policy claims from 3 official source attributions, including 6 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 5, 2026. Discovery context: The University of Hong Kong is listed as QS 2026 rank 11.
Citation-ready summary
As of this public record, University AI Policy Tracker lists The University of Hong Kong as an agent-reviewed AI policy record last checked on May 5, 2026 and last changed on May 5, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-hong-kong.json. The entity-level confidence is 97%. 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 Source status claims.
- Evidence includes Research claims.
- Evidence includes Privacy 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.
- 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
The University of Hong Kong has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
No source-backed public claim about coursework AI use is present in this profile.
The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.
Exams
No source-backed public claim about exam AI use is present in this profile.
The current public tracker record does not contain claim evidence about exams, tests, quizzes, or examination conditions.
Privacy and data entry
The University of Hong Kong has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
The University of Hong Kong has 2 source-backed public claims for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
The University of Hong Kong has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Research guidance
The University of Hong Kong has 5 source-backed public claims 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
6 reviewed evidence-backed public claim
Source Status
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.
Review: Agent reviewed
原始证据
Evidence 1I am pleased to announce that the Guidelines on the Responsible Use of Generative AI in Research at The University of Hong Kong have been formally approved by the Senate and are now in effect.
Research
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.
Review: Agent reviewed
原始证据
Evidence 1Transparency and Disclosure: Clearly disclose GenAI tool usage in research outputs, publications, or presentations, for example the type of GenAI used, data sources, and potential limitations. Maintain detailed documentation of GenAI prompts, outputs, and decision-making processes involving GenAI.
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.
Review: Agent reviewed
原始证据
Evidence 1Data Privacy and Confidentiality: Ensure input data used with GenAI complies with data protection laws and University policies. Avoid sharing sensitive, confidential, or proprietary information with GenAI platforms.
Research
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.
Review: Agent reviewed
原始证据
Evidence 1Accountability: Researchers are responsible for the outputs generated by GenAI and their implications. ... Limit Over-Reliance: Use GenAI as a support tool, not a substitute for critical analysis and human expertise.
Research
HKU states that researchers should ensure generative AI use does not infringe existing intellectual property rights or compromise research output ownership.
Review: Agent reviewed
原始证据
Evidence 1Respect Intellectual Property and Ownership: Ensure that the use of GenAI does not infringe on existing rights or compromise research outputs ownership.
Source Status
HKU's GenAI research guidelines are positioned as an institutional policy under the Research Integrity framework, approved by Senate in September 2025.
Review: Agent reviewed
原始证据
Evidence 1HKU is committed to fostering responsible GenAI practices and promoting best practices in the adoption of GenAI among researchers, students, supervisors and other staff in the research community. The Guidelines on the Responsible Use of Generative AI in Research at The University of Hong Kong was approved by the Senate on September 23, 2025.
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
3 source attribution
Guidelines on the Responsible Use of Generative AI in Research at HKU
researchintegrity.law.hku.hk
Research Services - Research Integrity
rss.hku.hk
Responsible Use of Generative AI in Research at HKU
rss.hku.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.