Springer Nature has deployed its AI expertise to create a new publication format that focuses on literature reviews. The move follows the publication of the publisher’s first machine-generated book in 2019.
While the first book on lithium-ion batteries was entirely AI-based, this new format takes an innovative hybrid approach of blending human-machine interaction. The new product is a mixture of human-written text and machine-generated literature overviews, which sees an author putting these machine-generated reviews, created from a large set of previously published articles in Springer Nature journals, into book chapters and providing a scientific perspective.
Climate, Planetary and Evolutionary Sciences: A Machine-Generated Literature Overview, edited by Guido Visconti, is the first publication of this kind. Professor Guido Visconti devised a series of questions and keywords related to different aspects of climate studies, examining their most recent developments and their most practical applications. These were queried, discovered, collated, and structured by the machine using AI clustering. The results were presented in a series of book chapters for Prof Visconti to put into scientific context. This combined approach of human-machine interaction revealed the complex and interdisciplinary nature of the climate, planetary, and evolution sciences. Springer Nature is planning further development of this new format and making human-machine collaboration part of its publishing experience.
Tags: AI based literature, computer-generated texts, AI-generated literature, Machine learning to write a book
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