Answer
GenAI tools may be able to:
- summarise information on a topic
- recommend authoritative sources on a topic
- help improve grammar, sentence construction, and other language skills
- help analyse data e.g. create spreadsheets, tables and organise information
- provide creative inspiration or suggestions
- restore low quality images or video
Source: University of Queensland
GenAI tools
- Elicit – A research assistant that find relevant papers by using language models to “mine” for keywords and subject headings
- Scite.ai - Provides real citations with supportive and refuting evidence, shows how many papers support or refute a claim, and visualises citation tends for a paper or topic
- Consensus - A search engine that uses AI to extract and distil findings directly from scientific research (peer reviewed and published sources only)
- Research Rabbit - Users can add papers to collections, to which RR learns what you need and improves its recommendations. Also lets users discover author networks
- Semantic Scholar- AI-driven search and discovery tool that helps researchers discover and understand scientific literature that's most relevant to their work by making connections between papers
Publisher policies
- Elsevier: Generative AI policies for journals
- Springer Nature: Editorial Policies – Artificial Intelligence (AI)
- Wiley: Artificial intelligence generated content
- Taylor & Francis: AI Policy
- Emerald: Publishing ethics
- SAGE Journals: Artificial Intelligence Policy
SCU Graduate School Guidelines for HDR Candidates - use of Artificial Intelligence Tools
Funder policies
- National Health and Medical Research Council: Policy on Use on Generative Artificial Intelligence in Grant Applications and Peer Review
- Australian Research Council: Policy on Use of Generative Artificial Intelligence in the ARC’s grants programs
Further reading
Al-Zahrani, A. M. (2024). The impact of generative AI tools on researchers and research: Implications for academia in higher education. Innovations in Education and Teaching International, 61(5), 1029–1043. https://doi.org/10.1080/14703297.2023.2271445
Andersen, J. P., Degn, L., Fishberg, R., Graversen, E. K., Horbach, S. P. J. M., Schmidt, E. K., Schneider, J. W., & Sørensen, M. P. (2025). Generative Artificial Intelligence (GenAI) in the research process – A survey of researchers’ practices and perceptions. Technology in Society, 81, 102813. https://doi.org/10.1016/j.techsoc.2025.102813
Dahal, N. (2024). How can generative AI (GenAI) enhance or hinder qualitative studies? A critical appraisal from South Asia, Nepal. The Qualitative Report, 29(3), 722-733. https://doi.org/10.46743/2160-3715/2024.6637
De Silva, D. & El-Ayoubi, M. (2023). Three ways to leverage ChatGPT and other generative AI in research. https://www.timeshighereducation.com/campus/three-ways-leverage-chatgpt-and-other-generative-ai-research
Gwo-Jen Hwang, & Nian-Shing Chen. (2023). Exploring the Potential of Generative Artificial Intelligence in Education: Applications, Challenges, and Future Research Directions. Educational Technology & Society, 26(2). https://doi.org/10.30191/ETS.202304_26(2).0014
Hurd, M., Merrell, T., Rose, L., & Charles Sturt University. (2024). Using AI tools at university. Charles Sturt University. https://opentext.csu.edu.au/usingai/
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