In this webinar, Martin Giesswein, Program Director of AI Transforming Business at the WU Executive Academy, along with two leading AI researchers from Elsevier, will guide you through the considerations and processes that Elsevier places around the responsible use of AI throughout the publishing and product development processes.
We will address industry misconceptions and explore the opportunities presented by integrating GenAI tools and technologies. Emphasizing the importance of Responsible AI, the session will feature live demonstrations using Elsevier's knowledge management platforms.
Three Take-away Points
Full Abstract
Artificial Intelligence in general, and generative AI in particular, are changing how science and scholarship are being conducted today. This affects how articles are written, reviewed or read, how classes are taught and lessons are learned, and how scholarship and research results are shared or explored. It can be argued that two Nobel prizes in physics are chemistry were really awarded to AI.
Though these developments are very exciting and offer great opportunities for the acceleration and improvement of scholarly exchange, there are also great dangers. Misinformation and hallucinations are as easy to produce as they are hard to check. Nefarious actors can change the landscape of knowledge and factual truths can be polluted with mistruths and intentionally misleading information.
This webinar will address industry misconceptions and explore the opportunities presented by integrating GenAI tools and technologies. Emphasizing the importance of Responsible AI, the session will feature live demonstrations using Elsevier's knowledge management platforms.
We will address industry misconceptions and explore the opportunities presented by integrating GenAI tools and technologies. Emphasizing the importance of Responsible AI, the session will feature live demonstrations using Elsevier's knowledge management platforms.
Three Take-away Points
- How can AI improve publishing and knowledge dissemination in scholarly publishing?
- How does Responsible AI improve the methods of research and validation of scientific content?
- What new features and ideas are being planned to improve the scholarly landscape, using AI, in a responsible way?
Full Abstract
Artificial Intelligence in general, and generative AI in particular, are changing how science and scholarship are being conducted today. This affects how articles are written, reviewed or read, how classes are taught and lessons are learned, and how scholarship and research results are shared or explored. It can be argued that two Nobel prizes in physics are chemistry were really awarded to AI.
Though these developments are very exciting and offer great opportunities for the acceleration and improvement of scholarly exchange, there are also great dangers. Misinformation and hallucinations are as easy to produce as they are hard to check. Nefarious actors can change the landscape of knowledge and factual truths can be polluted with mistruths and intentionally misleading information.
This webinar will address industry misconceptions and explore the opportunities presented by integrating GenAI tools and technologies. Emphasizing the importance of Responsible AI, the session will feature live demonstrations using Elsevier's knowledge management platforms.
Tue, Sep. 23, 2025 · 10:30 am (BST)
Tue, Oct. 21, 2025 · 10:30 am (BST)
Presenters
Martin Giesswein
Program Director of AI Transforming Business, 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.
