
The Scholarly Kitchen: From Scraping to Stewardship: Next Steps for Scholarly Content, Generative AI, and LLMs
Wednesday, April 29, 2026
11 a.m. ET – 12 p.m. ET
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Usage of Large Language Models (LLMs) and Generative AI is widespread, but building this first generation relied on large-scale scraping from scholarly publishers. As the AI market matures, LLM companies are beginning to understand that the most valuable use cases, which have real business and societal impact, depend on outputs that are accurate, reliable, and trustworthy. Delivering that level of quality requires training content that is curated, verified, and contextualized, placing scholarly publishers in a stronger, more strategic position as use of LLMs moves from novelty to infrastructure.
In this webinar, we’ll put forward a deliberately utopian vision of collaboration between publishers and LLM companies, asking what it would take to move from friction to partnership. Together, we will set out the conditions, incentives, and shared responsibilities that will make high-quality, publisher-anchored AI not just possible, but sustainable.
We’ll examine:
- Where publisher content delivers unique, defensible value in AI workflows
- How trust, provenance, and curation become competitive advantages in LLM outputs
- What meaningful collaboration between publishers and AI companies could look like in practice
- The strategic choices publishers face now to shape the next phase of AI development
This session will think practically about the steps needed to get from today's tensions to tomorrow’s opportunities.
Moderator:
Avi Staiman, Founder & CEO, Academic Language Experts
Avi Staiman is the founder and CEO of Academic Language Experts, a company dedicated to empowering English as an Additional Language authors to elevate their research for publication and bring it to the world. He also is the co-host of the New Books Network ‘Scholarly Communication’ Podcast. Avi is a core member of CANGARU, where he represents EASE in creating legislation and policy for the responsible use of AI in research. Avi has been a guest lecturer at NYU’s Master’s Program in Translation & Interpreting and the University of Tokyo and he is a reviewer for Wiley’s Learned Publishing journal. His essays have appeared in the Cambridge University Press Blog, The Scholarly Kitchen, Multilingual, and Times Higher Education.
Speakers:
Angela Cochran, VP, Publishing, American Society of Clinical Oncology (ASCO)
Angela Cochran is the Vice President of Publishing for the American Society of Clinical Oncology. Previously, she was Managing Director and Publisher at the American Society of Civil Engineers in Reston, Virginia. She has served in the roles of Associate Publisher, Journals Director, Production Director, and Journals Production Manager for ASCE. She was a Managing Editor at the American Cancer Society and a Production Editor for Appleton & Lange and at Pearson Education. She is past-president of the Society for Scholarly Publishing and the Council of Science Editors. She is a regular contributor to The Scholarly Kitchen.
Charlie Rapple, co-founder, Kudos and research lead, 'Taming the Crocodile' zero-click search study
Charlie Rapple is co-founder of Kudos, which works with researchers, funders, publishers and universities to ensure research is more widely found, understood, used and cited. With a background in scholarly publishing technology and marketing, she is passionate about ensuring research is more effectively communicated. She is currently Past Chair of UKSG, having previously served as Vice Chair, Treasurer, Chair of the Marketing Subcommittee, and co-founder of KBART. She is a member of the Editorial Board for UKSG Insights, a blogger in the Scholarly Kitchen and a Fellow of the UN’s SDG Publishers Compact. Charlie has a BA in the History of Art and Architecture from the University of Bristol, and a postgraduate MDip from the Chartered Institute of Marketing.
Jonathan Woahn, Co-Founder & CXO, Cashmere
Jonathan Woahn is a co-founder of Cashmere, a platform designed to help publishers safely and responsibly monetize their content in AI-powered applications. He believes human-created content is what connects us and advances shared knowledge, and that creators and publishers need clear incentives to continue producing it. His work focuses on building systems that preserve compensation, credit, and control over how content is used, while enabling AI to responsibly incorporate high-quality, human-generated material at scale.
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