GDB9 | Artificial Intelligence in scientific publishing: blessing or bane?
Artificial Intelligence in scientific publishing: blessing or bane?
Convener: Barbara Ervens | Co-convener: Eduardo Queiroz AlvesECSECS
Fri, 19 Apr, 10:45–12:30 (CEST)
Room E1
Fri, 10:45
Technological developments have always had an impact on the evolution of scientific publishing, transitioning from ink and paper to its current electronic format. In this context, Artificial Intelligence (AI) has made its way to the process of publishing research results.
The advent of Large Language Models (LLM) which are capable of generating various types of textual content, raised concerns within the scientific community with regards to presenting research output. This new technological revolution is developing at a fast pace, with possibly significant consequences for scientific publications.
On the one hand, the benefits of generative AI include the improvement of readability of scientific papers by more structured and efficient writing, and refining language. On the other hand, AI-generated text may be inaccurate, incomplete and may carry biases possibly harmful to scholarly literature. In this scenario, how will the surge in the use of AI impact the credibility of published papers? How can we ensure accountability, integrity and responsibility of authors, editors, and reviewers? How can scientific achievement be assessed in publications? What is the extent to which the use of AI tools may introduce biases and inequalities in published texts? What are possibilities for the efficient, reliable, and beneficial use of AI tools in the peer review process?
Join us in this great debate to discuss the ‘blessing and bane’ of AI usage in scientific publishing and how to make best use of its potential and fast developments within the scientific publishing community.
Panel members will include editors of (EGU) journals, authors, and other members of the scientific publishing community.

The rise of generative Artificial Intelligence (AI) tools, including Large Language Models (LLM), presents both challenges and opportunities for scientific publishing. How can we use these tools responsibly and effectively? 

To address the topic from different perspectives, this Great Debate brings together four experts:

  • Fernanda Matos, PhD candidate, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), Germany
  • Marie Soulière, Head of Publication Ethics and Quality Assurance, Frontiers, Switzerland
  • Tina Treude, Professor, University of California Los Angeles (UCLA) and Executive Editor, EGU Journals (Biogeosciences), USA
  • Tony Ross-Hellauer, Senior Researcher, Graz University of Technology and Know-Center GmbH, Austria

The discussion will explore several aspects of the topic, including: 

  •   Best practices in employing AI tools for scientific writing 
  •   The potential of AI to assist in the peer review process
  •   Responsibilities and ethical considerations for authors, reviewers, editors and publishers 

Session assets


  • Fernanda DI Alzira Oliveira Matos, Alfred Wegener Institute, Germany
  • Marie Soulière, Frontiers Media SA, Switzerland
  • Tina Treude, University of California, Los Angeles, United States of America
  • Tony Ross-Hellauer