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Generative AI in Scientific Writing: Opportunities and Ethical Challenges

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Overview

The book delves into how generative AI can enhance scientific writing. It covers the fundamentals of generative AI and provides practical examples to improve clarity and coherence in writing. The book also examines generative AI limitations and highlights potential pitfalls, particularly ethical concerns and risks of plagiarism.
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Table of Contents

Chapter 1: Artificial Intelligence
Alessandro N. Vargas
Open Access | Book Chapter | Pages 1-8 | 20 March 2025
DOI: https://doi.org/10.63408/979-8-9928364-0-0_1
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Chapter 2: Generative AI in practice
Alessandro N. Vargas
Open Access | Book Chapter | Pages 9-30 | 20 March 2025
DOI: https://doi.org/10.63408/979-8-9928364-0-0_2
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Chapter 3: Introduction of a manuscript with generative AI
Alessandro N. Vargas
Open Access | Book Chapter | Pages 31-50 | 20 March 2025
DOI: https://doi.org/10.63408/979-8-9928364-0-0_3
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Chapter 4: Elements of style
Alessandro N. Vargas
Open Access | Book Chapter | Pages 51-77 | 20 March 2025
DOI: https://doi.org/10.63408/979-8-9928364-0-0_4
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Chapter 5: Research and career
Alessandro N. Vargas
Open Access | Book Chapter | Pages 78-93 | 20 March 2025
DOI: https://doi.org/10.63408/979-8-9928364-0-0_5
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Rockefeller Series in Science and Technology
ISSN 3067-0667 | Series Editor: Alessandro N. Vargas | Publisher: Rockefeller Publishing Co, New York, NY

Bibliographic information

Book Title
Generative AI in Scientific Writing: Opportunities and Ethical Challenges		 Series Title
Rockefeller Series in Science and Technology		 Author
Alessandro N. Vargas
Copyright Information
The Author(s) under Creative Commons Attribution 4.0 International (CC BY 4.0).		 Series ISSN (online)
3067-0667		 ISBN (eBook)
979-8-9928364-0-0
DOI
https://doi.org/10.63408/979-8-9928364-0-0		 Publisher
Rockefeller Publishing Co.

How to Cite

Alessandro N. Vargas (2025). Generative AI in Scientific Writing: Opportunities and Ethical Challenges. In: Alessandro N. Vargas (Eds.), Rockefeller Series in Science and Technology (pp. 1-93), vol. 1, Rockefeller Publishing Co, New York, NY, USA. https://doi.org/10.63408/979-8-9928364-0-0

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About the Author

Alessandro N. Vargas is a full Professor at UTFPR, Brazil. Since 2023 he has been a research scientist in the Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA. He got his Ph.D. in Electrical Engineering at the University of Campinas (UNICAMP), Brazil. He spent a year as a Postdoctoral Researcher at Universitat Politècnica de Catalunya-BarcelonaTech, Spain, from 2014 to 2015. He has served as a Visiting Professor at Arizona State University (ASU), USA, and a Visiting Professor at the Politecnico di Milano (Polimi), Italy. He is currently serving as Associate Editor of IEEE/ASME Transactions on Mechatronics and the International Journal of Systems Science (Taylor and Francis). He is a former Editor of the Journal of The Franklin Institute (Elsevier) and IET Signal Processing (Wiley). His main research includes Control Systems, Electronics, and Mechatronics. Contact: avargas@utfpr.edu.br

Rockefeller Series in Science and Technology (ISSN 3067-0667)

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Rockefeller Series in Science and Technology (ISSN 3067-0667) is an open-access book series published by Rockefeller Publishing Co., New York. Books are subject to peer review and are published upon approval by Rockefeller's Editorial Team.
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