AI: Scholarly publishing and best practice
In recent years, the use of generative artificial intelligence (AI) has skyrocketed, with strong arguments being made for and against its usage by various parties. Academia has not remained untouched by generative AI, and while it offers numerous opportunities and benefits to researchers, it also presents a number of significant issues when it comes to scholarly publishing.
AI can be a bit of a minefield, especially in relation to things like academic integrity and data protection. To help ANU scholars looking to publish their work, the ANU Library has put together a guide on generative AI, with a new section especially dedicated to highlighting the issues surrounding the use of AI in research you intend to publish.
It is important to be aware that publishers have applied a range of policy approaches and practices regarding the use of AI in scholarly research, which may impact your choice of publisher. While authors need to consider issues of compliance with these guidelines, they also need to be mindful of the permissions they give publishers (and others) to reuse their scholarly content in AI applications.
Other issues include:
- Ethical and Legal concerns about authorship
- Quality and Integrity
- Equity and Accessibility
- Transparency and Reproducibility
- Economic and rights impact
To find out more about the issues relating to use of generative AI and scholarly publishing, as well as other things to be aware of when using AI, take a look through our handy Library guide.
