In the third episode of this four-part series, Anil Chandy, VP of Humanities, Social Sciences Books & Focus Projects at Springer Nature, shares the advantages of implementing AI into publishing processes. Highlighting opportunities like language translation and plain language summaries, he outlines Springer Nature’s three models of AI use—text generation, text conversion, and text interrogation—and the human oversight required to ensure they meet publication standards. Next, Anil walks through Springer Nature’s first machine-generated title published in 2019. Developed to experiment with the available AI technology, the book underscored the limitations of AI content generation and signaled the publisher’s shift to “human-in-the-loop” solutions for generative AI. Last, our guest digs into the potential of AI translated texts and the applications of AI in peer review.

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