Chapter 1: Artificial Intelligence

Alessandro N. Vargas (ORCID )

Pages: 1-8

First published: 20 March 2025

DOI: https://doi.org/10.63408/979-8-9928364-0-0_1

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Abstract

This chapter examines the evolution of artificial intelligence (AI) in language modeling, from early deterministic methods to probabilistic approaches and modern neural networks. The chapter revisits key concepts such as Markov chains, the Turing test, and natural language models. It discusses AI's societal impact and applications in language processing.

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Bibliographic information

Book Chapter 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_1	Publisher Rockefeller Publishing Co

How to Cite

Alessandro N. Vargas (2025). Chapter 1: Artificial Intelligence. In: Alessandro N. Vargas (Eds.), Generative AI in Scientific Writing: Opportunities and Ethical Challenges (pp. 1-8), vol. 1, Rockefeller Series in Science and Technology, Rockefeller Publishing Co, New York, NY, USA. https://doi.org/10.63408/979-8-9928364-0-0_1

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About the Author(s)

• 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

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