Detecção de textos gerados pelo ChatGPT
The popularization of Artificial Intelligence (AI) tools for text generation has intensified debates about the authenticity and reliability of digital content amid growing concerns about academic fraud, copyright violations, and misinformation. This study evaluated the effectiveness of five detection tools (Copyleaks AI Content Detector, AI by Smodin, PlagiarismDeTector.NET AI, ZeroGPT, and AI Content Detector) in distinguishing between human-written texts and texts generated by ChatGPT. The results indicate that the tools vary in their accuracy and reliability. While Copyleaks and AI by Smodin demonstrated high accuracy in identifying AI-generated and human-written texts, PlagiarismDeTector.NET AI showed several inconsistencies, especially in correctly distinguishing AI-generated texts. ZeroGPT and AI Content Detector showed variable performance, excelling in some scenarios and facing challenges in others. These findings highlight the ongoing need for improvement in AI text detection tools to ensure a secure and trustworthy digital environment.
Authors
- Felipe Soares de Moraes (ORCID: https://orcid.org/0000-0002-6585-9073)
Institutions
- Universidade de Brasília (BR)
Publication Details
- Journal
- Revista de Ciências do Estado
- Published
- 2024-12-24
- DOI
- https://doi.org/10.35699/2525-8036.2024.53509
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00