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
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
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.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
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
Original evidence
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
Original evidence
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
Original evidence
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
Original evidence
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
Original evidence
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
Original evidence
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
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