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article · E3S Web of Conferences

Automatic Detection of Generated Texts and Energy: Exploring the Relationship

20231 citationOpen accessIbn Tofail University

Abstract

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 detection of generated texts is crucial in addressing this issue. This article provides a comprehensive examination of the relationship between the detection of generated texts and energy consumption, delving into the techniques, challenges, and opportunities for developing energyefficient algorithms for text detection.

Research topics

  • Topic Modeling
  • Hate Speech and Cyberbullying Detection
  • Sentiment Analysis and Opinion Mining

Sustainable Development Goals

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DOI: 10.1051/e3sconf/202341201101

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