AI making research writing easier

The Australian Research Council warns presenting AI generated test as original “could undermine the norms around authorship” in its submission to a House of Representatives committee inquiry into AI in education.

However, the ARC acknowledges the technology can, “provide assistance in summarising and refining text in order to increase readability, thereby streamlining the scientific writing process, and in particular literature review.”

Enter for-profit journal giant Elsevier, which announces, “a brand new window into humanity’s accumulated knowledge.”

The publisher has a “new generative AI feature” for its Scopus abstract and citation base of journals, “Informed by the world’s largest collection of peer-reviewed academic literature.”

“Our pilot genAI-powered search model helps you find research papers by query and synthesises the findings of decades of research into clear digestible summaries, in seconds” is the pitch.

“Over 27,000 academic journals, from more than 7,000 publishers worldwide, with over 1.8 billion citations, and includes over 17 million author profiles.” 

The pilot uses metadata and abstracts back to 2018, but not full article texts. The full product will be released next year and include visual results, “to see connections between key words.”

Of course Elsevier being Elsevier, “full product pricing will be determined and shared in the future.”

“Clear digestible summaries” in seconds which could be the basis of literature reviews may be something people with publishing on their mind will welcome.



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