A variety of AI tools can help streamline the process of discovering, managing and synthesising information. However it's important to note that use of these tools should be complementary to traditional research techniques such as structured, replicable database searching. Researchers will need to make an assessment of any tools used, and apply a combination of approaches, particularly in literature searching. For example, the use of AI tools alone is not supported by current best practice guidance for specific review types in certain disciplines (such as systematic reviews in health, where requirements are particularly strict due to real world implications for healthcare).
(video length: 3 min 45 sec)
Dr. Lynette Pretorius from Monash University shows how generative artificial intelligence can be used to develop one's starting research questions.
Use of AI tool can be openly reported eg. Responses to the following prompts were generated by ChatGPT (OpenAI, https://chat.openai.com/) on XXX date.
Core concerns within a research field could first be explored. Draft research questions could then be created to investigate some of the core concepts in a particular type of research study (eg. qualitative research study). AI could then help refine the question further with a focus on a specific sub-theme. A particular theory could even be applied and a new research question reformulated through that lens. Use of AI tools to finesse a research question would be particularly helpful for remote students who find it difficult to make time with a potential supervisor.
The sheer volume of research papers and studies available can make it difficult to sift through the literature efficiently. AI tools can be utilised to develop a custom search algorithm that can filter and prioritise research papers based on relevance and quality. An example of one such tool that is available to UniSA staff is Covidence. Developers of that platform are introducing new innovations in automation, including the ability to sort by relevancy based on past screening decisions.
AI tools can provide assistance to HDR candidates and researchers to write intricate, complex code saving significant time and effort. In the methodology section of the produced research, it is important to include detailed information about the tools used and how they were applied.
There are ethical concerns about the use of generative AI in academic research, particularly when it becomes the primary author of a work. While AI can assist in various research tasks, it should complement the researcher's intellectual contribution rather than replace it entirely. Proper attribution and ethical guidelines must be followed in academic research.
When used astutely, AI could be employed in career exploration, informational interviewing and job application document writing, to help HDR candidates become more adept at promoting their value proposition to industry (high level research skills).