Abstract

Artificial intelligence (AI) tools are widely used today in many areas, and are now being introduced into scholarly publishing. This article provides a brief overview of present-day AI and machine learning as used for text-based resources such as journal articles and book chapters, and provides an example of its application to identify suitable peer reviewers for manuscript submissions. It describes how one company, UNSILO, has created a tool for this purpose, and the underlying technology used to deliver it. The article also offers a glimpse into a future where AI will profoundly change the way that academic publishing will work.

Highlights

  • Using artificial intelligence (AI) to solve business problems in scholarly publishingArtificial intelligence (AI) tools are widely used today in many areas, and are being introduced into scholarly publishing

  • News and media articles are today full of references to artificial intelligence (AI), and AI is already more pervasive than we might notice

  • This article provides a brief overview of present-day AI and machine learning as used for text-based resources such as journal articles and book chapters, and provides an example of its application to identify suitable peer reviewers for manuscript submissions

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Summary

Using AI to solve business problems in scholarly publishing

Artificial intelligence (AI) tools are widely used today in many areas, and are being introduced into scholarly publishing. This article provides a brief overview of present-day AI and machine learning as used for text-based resources such as journal articles and book chapters, and provides an example of its application to identify suitable peer reviewers for manuscript submissions. It describes how one company, UNSILO, has created a tool for this purpose, and the underlying technology used to deliver it. Keywords AI; artificial intelligence; machine learning; case study; start-up; peer review

Introduction
Early approaches to AI
Using Bayesian reasoning in academic publishing
Supervised and unsupervised
Publisher and institutional adoption of AI tools
Findings
Summary
Full Text
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