Hong Kong, Hong Kong SAR

The University of Hong Kong

The University of Hong Kong is listed as QS 2026 rank 11. The University of Hong Kong has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready overview

v1 public contract

The University of Hong Kong is listed as QS 2026 rank 11. The University of Hong Kong has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Reviewed claims6Candidate claims0Official sources3

Candidate claims are source-backed records pending review. They are not final policy conclusions and are not legal or academic integrity advice.

Reviewed claims

6 reviewed 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 reviewedConfidence97%

Original evidence

Evidence 1
I 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 reviewedConfidence95%

Original evidence

Evidence 1
Transparency 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 reviewedConfidence94%

Original evidence

Evidence 1
Data 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 reviewedConfidence93%

Original evidence

Evidence 1
Accountability: 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 reviewedConfidence92%

Original evidence

Evidence 1
Respect 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 reviewedConfidence85%

Original evidence

Evidence 1
HKU 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

Research Services - Research Integrity

rss.hku.hk

Snapshot hash
c72f52741aae7ac105ebb79e05dd4148279c964e7c205aeb8308e4d374e88bab
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