Research New
Springer Nature and Google DeepMind are building an AI assistant for peer reviewers, now being tested as a prototype
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Springer Nature announced on 26 October a research partnership with Google DeepMind to co-design an AI assistant for peer reviewers. The publisher says the assistant will help reviewers navigate manuscripts, analyse large amounts of text, charts and figures, and flag areas that may need closer attention, so they can spend more time on questions that require specialist scientific judgement.
The assistant uses Google DeepMind's Gemini models and builds on Google's research tools ScholarPeer and Deep Review, according to the release. It is built with Google's open-source Agent Development Kit and runs only inside Springer Nature's private Gemini Enterprise environment, which the publisher says keeps manuscripts and reviewer content confidential. A prototype is being tested; no launch date was given.
Times Higher Education notes that the partnership comes as journals face a surge of AI-assisted submissions and that using AI in peer review remains controversial.
Caveat. This is an announcement of a prototype, with no published evaluation, results or timetable. The claims about its abilities are the partners' own.
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