AI in Scholarly Publishing: Dangers and Opportunities for Responsible AI
AI in scholarly publishing and higher education offers promising opportunities to improve scholarly exchange. However, many key questions still remain unanswered.
Beyond theory, based on practice, this interview-style webinar on AI in Scholarly Publishing goes beyond the headlines. It is built on:
Interviews with researchers
Experiments from AI labs we have tested
Expert opinions from across the ecosystem
These perspectives create a grounded and inspiring conversation on the risks, rewards, and principles for responsible AI in higher education and publishing.
What will you learn and apply
What are your greatest fears about the use of GenAI for scholarly communications?
What are your wildest hopes about using GenAI in science and scholarship?
What could researchers, librarians, and publishers do today to ensure an optimised use of AI in the future of scholarship?
Program Director of AI Transforming Business, University of Vienna (WU) Executive Academy
Martin Giesswein is book author, speaker and advisor for AI and digital humanism. He is the Program Director of AI Transforming Business, WU Executive Academy, where he also lectures on digital leadership. Prior to this, he held various management positions in the digital industry in Central and Eastern Europe, including CEO of immobilien.NET and regional General Manager at Nokia. He holds a Master's degree in Law.
Anita de Waard
Vice President of Research Collaborations, Elsevier
Anita de Waard (she/her) is VP of Research Collaborations at Elsevier, focusing on advancing models for scholarly communication through partnerships with academia and industry. Since 1997, she has worked to bridge science publishing with computational and information technologies, including developing semantic models for research papers. She co-founded Force11, an interdisciplinary organization, and supports research data management initiatives like the Research Data Alliance and NIST frameworks, as well as scholarly document processing workshops. Her current efforts aim to enhance trust, reproducibility, and research integrity in scholarly communication. Anita holds a degree in low-temperature physics from Leiden and worked in Moscow before joining Elsevier as a physics publisher in 1988.
Georgios Tsatsaronis
Vice President of Data Science, Elsevier
Dr. George Tsatsaronis is Vice President of Data Science at the Operations division of Elsevier, in Amsterdam, The Netherlands. Prior to joining Elsevier in 2016 he worked in academia for more than 10 years, doing research and teaching in the fields of machine learning, natural language processing and bioinformatics in universities in Greece, Norway and Germany. He has published more than 80 scientific articles in high impact peer review journals and conference proceedings in various areas of Artificial Intelligence, primarily natural language processing and text mining. In Elsevier, Dr. George Tsatsaronis is responsible for the design, implementation, deployment and quality assurance for several of Elsevier’s AI solutions and capabilities.