Understanding the role of Generative AI during your HDR studies
Using Generative AI responsibly in HDR research
Generative AI can support HDR candidates in aspects of their research and development. However, its use must be appropriate to the research context and comply with UOW policies, ethical requirements and responsible research practices.
When using generative AI, keep the following principles in mind:
1. Protect confidential and sensitive information: Do not enter personal, confidential, sensitive or controlled information, human research data, copyrighted material or intellectual property into third-party generative AI tools unless you have confirmed that doing so is permitted and appropriate.
2. Remain responsible for your work: Generative AI should support, rather than replace, your own critical thinking, judgement and scholarly contribution. You remain responsible for the content, accuracy and integrity of your research and research outputs.
3. Verify AI-generated content: Generative AI can produce inaccurate, incomplete, biased or fabricated information and references. Carefully check and verify all outputs before relying on or using them in your research.
4. Be transparent about your use of AI: Where generative AI has contributed to a research output, disclose its use in accordance with UOW requirements and any relevant disciplinary, publisher or assessment requirements. Your disclosure should clearly explain which tool was used and how it contributed to the work.
5. Consider ethical and research integrity requirements: Before using generative AI in research activities, particularly for data collection, analysis or research involving human participants, consider whether its use is appropriate and seek advice from your supervisor or relevant UOW support area where needed.
