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Research Support

Gen Ai resources

When using GenAI, it is important to think critically about the content created and the data used to generate that content. There may be additional considerations such as university, publisher or funder requirements around the acknowledgement and use of AI in your research, so make sure you fully understand your obligations.

 

Referencing Gen AI Guides:

 

Further resources:

This University of Sydney site is a resource for students, built by students, to provide ways you can use GenAI productively and responsibly as part of your learning journey in university.

A guide by Charles Sturt University on how to use various AI tools while undertaking university study and research.

Deakin Library AI Evaluations offer structured, evidence-informed appraisals of AI.

 

Bias and AI

Content produced by generative AI can sometimes be less trustworthy. If the data used to train the system contains bias, those same biases are often reproduced in its outputs. This can contribute to the spread of stereotypes, misinformation, and inaccuracies. It’s important to critically reflect on and evaluate the information generated by AI tools.

For the university sector, TEQSA released Gen AI strategies for research training: Emerging practice 

UNESCO have released their recommendations for ethical AI 

CSIRO have an AI Ethics Framework

Check the policies on the use of generative AI in research funded by the:

Most major publishers have guidelines for the use of GenAI in articles submitted for publication. The allowable use of GenAI varies between publishers and journals and may be updated frequently.

See the list below for some examples of publisher policies.

AI features in subscription databases:

Primo Research Assistant provides overviews of the top 5 articles of a search topic.

AI Insights (in some EBSCO databases) highlights the key points of publications.

Connector AI helps you visualise connections between publications.

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