Artificial Intelligence (AI)

Exploring Large Language Models (LLMs) and Artificial Intelligence (AI) in scholarly publishing is essential due to their potential to revolutionise the field by enhancing the efficiency and accessibility of research. AI and LLMs can streamline the publication process through automated peer reviews, improved language translation, and content summarisation, making scholarly work more accessible to a global audience. They can also assist in detecting plagiarism, ensuring the quality of published research, and identifying emerging trends and connections within vast datasets. However, there are concerns about the potential for biases in AI and LLM outputs, the ethical implications of relying on automated systems, and the need for transparency in their use. Balancing these pros and cons is crucial to harnessing the benefits of AI and LLMs while maintaining the integrity and reliability of scholarly publishing.

Selected AI tools available for use in scholarly publishing:

• Consensus

• Elicit

• Grammarly

• Perplexity

• Read

• Scispace

• Trinka

• Type

• Writefull

Webinars hosted by ASSAf on AI:

• The impact of AI on scholarly writing and publication

• AI has gone too far OR it only just begun