Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Postdocs 
 Visitors 
 Students 
 Research 
 Publications 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 P/T Colloquia 
 Archive 
 Ulam Scholar 
 
 Postdoc Nominations    
 Postdocs 
 CNLS Fellowship Application 
 Students 
 Student Program 
 Visitors 
 Description 
 Past Visitors 
 Services 
 General 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Wednesday, April 17, 2024
11:00 AM - 12:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

The use of Generative Artificial Intelligence tools in scientific publishing

Gaia Tomasello
Wiley VCH, Berlin, Germany

Generative Artificial Intelligence (GAI) tools and AI-assisted technologies are becoming an increasingly integral part of our modern research landscape and consequently are already impacting the publishing industry as well. The current wave of GAI tools uses vast datasets in order to generate new content instead of using published data to write structured articles. The result is a paradigm shift in publishing and the digital economy that will impact publishers around the globe requiring them to adjust accordingly. It is therefore of paramount importance to be aware of the limitations, risks, and potential implications when using them, gaining a deeper understanding of the kinds of data and models on which GAI tools are trained, the accuracy of the results, and the implications for intellectual property and law. In this seminar at Los Alamos National Laboratory, as a Wiley peer review editor, after a short introduction to our portfolio and the opportunities to publish with our prestigious journals, I will deliver an overview of which kinds of GAI tools can be used when preparing a scientific manuscript, always keeping in mind the scope of enhancing the impact of a scientific text rather than replacing the critical thinking, analysis, and creative thought that it needs absolutely to be preserved. It is an exciting time for the development of GAI tools in research and scientific publishing - and with caution and consideration, we can get the most out of the potential opportunities that they offer.

Bio: Gaia Tomasello received her Ph.D. in theoretical chemistry at the University of Bologna. She carried out postdoctoral research as an Alexander von Humboldt fellow at the department of Physics at Freie Universitat (Berlin) in the field of molecular dynamics and then pursued further her research activity at the Polytechnique Montreal studying the properties of conducting polymers for applications in nano- and bioelectronics. She joined Wiley in 2019 as peer review editor and works currently at the Department of Publishing Development as Editor in Chief of the journal Advanced Electronic Materials and Deputy Editor of the journal Physica Status Solidi A.

Host: Avadh Saxena (T-4), 7-5227