Artificial intelligence applications in scientific publishing

Artificial Intelligence (AI) is a term that has become popular in many industries, because of the potential of AI to quickly perform tasks that typically require more work by a human. Once thought of as the computer software endgame, the early forms of true AI are now being used to address real world issues. AI solutions underway Scientific publishing is already using some of the early AI technologies to address certain issues, for example: • Identifying new peer reviewers: Editorial staff are often responsible for managing their own reviewer lists, which includes finding new reviewers. Smart software can identify new potential reviewers from web sources that editors may not have considered. • Fighting plagiarism: Many of the current plagiarism algorithms match text verbatim. The use of synonyms or paraphrasing can foil these services. However, new software can identify components of whole sentences or paragraphs (much like the human mind would). It could identify and flag papers with similar-sounding paragraphs and sentences. • Bad reporting: if an author fails to report key information, such as sample size, which editors need to make informed decisions on whether to accept or reject a paper, then editors and reviewers should be made aware of this. New technology can scan the text to ensure all necessary information is reported correctly. • Bad statistics: If scientists apply inappropriate statistical tests to their data, this can lead to false conclusions. AI can id...
Source: BioMed Central Blog - Category: Journals (General) Authors: Tags: Uncategorized Source Type: blogs