Wiley’s AI resources for the peer review process

Wiley detail their AI and digital tech resources in the peer review process that provide support for authors and journal editors.

A new page on the Wiley website responds to many questions around the use of AI – particularly LLMs and GenAI – in submission systems, signposting helpful resources such as Wiley’s own guidelines on the use of AI tools for editors, reviewers, and authors, acceptable uses of AI for authors, how AI use should be disclosed, use of AI tools in peer review and several other commonly asked issues.

The page links to many more detailed resources, including this new flipbook document explaining the network of systems used in Research Exchange – an integrated submission, screening, and peer review platform – which explains the functions and purposes of automated processes such as submission form completion, aims and scope checking, papermill detection, editor and reviewer finders, and journal recommendation services.

This page and network of documents is a good example of thorough transparency and information, at a time when the term ‘AI’ is used as an opaque marketing tool. It is helpful to see under the hood in more detail, understand how new technology is being deployed, and how publishers are using it to improve efficiencies and tackle the problems in contemporary research publishing.