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Why It Matters

Generative AI (GenAI) is transforming research by offering tools for idea generation, data processing, and content creation. However, its use introduces ethical, legal, and integrity challenges. Misuse can lead to plagiarism, data privacy breaches, and compromised research credibility. Understanding these risks ensures that GenAI is applied as a supportive tool—not a substitute for original thinking.  
 
To promote the responsible use of GenAI and uphold best practices within our research community, HKU announced the Guidelines on the Responsible Use of Generative AI in Research at The University of Hong Kong this September. Here we have highlighted some key principles to provide a brief overview of the Guidelines. You are encouraged to read the full document carefully, as it will support you in effectively navigating the ethical and responsible integration of GenAI into your research activities. 

Idea Development & Background Research

• Formulate your own hypotheses and research directions. 

• GenAI outputs may include copyrighted material—always cite and acknowledge sources. 

• Make sure that the use of GenAI does not inevitably disclose patentable inventions. 

Experimentation & Data Handling

• No fabrication or falsification of data. 

• Be transparent and impartial in data analysis. 

• Protect participant privacy; avoid external cloud storage that risks confidentiality. 

Generating Computer Code 

GenAI can create algorithms and source code, but: 

• Do not use if you cannot verify or test the code. 

• Seek professional advice or collaborate with experts for accountability. 

Interpreting Data 

Comprehensive interpretation of research data is a cornerstone of research. Proper interpretation of analysed research data should weigh the strength of the experimental data and the limitations of the study in the broader context of known knowledge and experience. 

• Interpretation must be your own intellectual effort. 

• Use of GenAI for generating content (texts, figures) that can be seen as the interpretation of research findings is not allowed. 

• If unavoidable, limit use and acknowledge GenAI involvement. 

Publishing Your Work 

The direct use or reproduction of GenAI-generated text runs the risk of plagiarism if due acknowledgement is not given to the human author of the original text. 

It is critical that all authors take responsibility for the text, figures, tables, modelling, or art forms that are presented in any research output, including publication in journal articles, book chapters, books, conference presentations, exhibitions, or any other dissemination methods. 

Dos

• Use GenAI to edit, translate, or improve the quality of text. 

• Use GenAI to support image enhancement of figures without modifying the interpretation of the data. 

• Review and verify GenAI translations for accuracy and neutrality. 

• Document and acknowledge the use of GenAI in the research process.  

Don’ts

• Direct or extensive use of GenAI without significant human input is not allowed. 

• No AI-generated images and other data should be misrepresented as experimental data.  

• Using GenAI in the peer review of research output and funding applications is not acceptable.

Research supervision 

For research students and trainees, reliance on GenAI tools can negatively impact the development of core research skills such as critical thinking, literature review, and research communication. 

For RPG supervisors 

• GenAI use should be deliberate to allow students to learn responsible research practices both with and without GenAI. 

• Supervisors should design tasks that include both GenAI-supported and GenAI-free activities. 

• The Graduate School, Faculties, Schools, Departments, and Centres should provide guidance and support to supervisors. 

For RPG students and trainees 

• Students and assistants must seek supervisor approval before using GenAI. 

• Disclosure of GenAI use is mandatory. 

• Usage should be well documented and meet the criteria for degree conferral (originality and contribution to knowledge). 

• Students must declare, and justify it when required, the use of GenAI at thesis submission. 

The responsible use of GenAI in research at HKU requires transparency, accountability, and adherence to the highest standards of research integrity. Researchers, supervisors, and students share responsibility for ensuring accuracy, protecting confidentiality, and maintaining originality in all research outputs.  In summary, always remember the following core principles when doing your research:  

• Accountability: You are responsible for your entire research. 

• Fair Credit: Acknowledge all sources and contributions. 

• Honesty: Maintain integrity in conduct and communication. 

To read the full Guidelines on the Responsible Use of Generative AI in Research at HKU, please click here.