Artificial Intelligence-Assisted Editorial Tools: Case Studies

Abstract

MODERATOR: Jonathan Schultz Director, Journal Operations American Heart Association Cantonsville, Maryland SPEAKERS: Robyn Mugridge Publishing Partnerships Manager Frontiers United Kingdom Hannah Hutt Product Manager Frontiers Lausanne, Switzerland Jennifer M Chapman Senior Managing Editor American Society of Civil Engineers Reston, Virginia Daniel Evanko Director of Journal Operations and Systems American Association for Cancer Research Philadelphia, Pennsylvania REPORTER: Ellen F Lazarus Freelance technical and medical editor Lazarus Editing and Consulting, LLC Washington, DC Journal publishers are increasingly turning to artificial intelligence (AI) technologies to address the challenges and complexities of scientific editing and publishing. The types of challenges addressed are limited only by the imagination and ingenuity of the AI system designers and end-users. In this session, Robyn Mugridge and Hannah Hutt (Publishing Partnerships Manager and Product Manager at Frontiers), Jennifer Chapman (Senior Managing Editor at the American Society of Civil Engineers [ASCE]), and Daniel Evanko (Director of Journal Operations and Systems at the American Association for Cancer Research [AACR]) presented 3 cases studies involving specific journal publication challenges and the proprietary and public AI-assisted editorial tools used to solve them. Jonathan Schultz, Editor-In-Chief of Science Editor and Director of Journal Operations at the American Heart Association, started the session with a nontechnical introduction to the terms AI, machine learning, data/text mining, and natural language processing. (This session was generally limited to the application of the tools and did not cover technical aspects of their development and implementation.) Case 1: Addressing Shared Challenges in Journal Publication by Developing an AI-Assisted Editorial […]