Automatic Detection of Generated Texts and Energy: Exploring the Relationship

Automatic Detection of Generated Texts and Energy: Exploring the Relationship

The proliferation of artificial intelligence (AI) and natural language processing (NLP) technologies has enabled the generation of realistic and coherent texts, but it also raises concerns regarding the potential misuse of these technologies for generating misleading or malicious content. Automatic...

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Bibliographic Details
Main Authors:	Al Karkouri Adnane, Ghanimi Fadoua, Bourekkadi Salmane
Format:	Article
Language:	English
Published:	EDP Sciences 2023-01-01
Series:	E3S Web of Conferences
Subjects:	automatic detection generated texts energy consumption energy efficiency ai systems natural language processing (nlp) machine learning deep learning model compression algorithmic optimization supervised learning unsupervised learning deep neural networks model architecture computational resources environmental impact sustainability trustworthy ai ethical considerations interdisciplinary research
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01101.pdf

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