Detection and classification of ChatGPT-generated content using deep transformer models

Our findings establish a robust baseline for the detection and classification of AI-generated textual content. This work marks a significant step toward mitigating the potential misuse of AI-powered text generation tools by providing a reliable approach for distinguishing between human and AI-generated text. Future research could explore the generalizability of these models across different AI-generated content sources and address evolving challenges in AI text detection.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-04-04
DOI
https://doi.org/10.3389/frai.2025.1458707
Citations
15
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
37.21
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article

Detection and classification of ChatGPT-generated content using deep transformer models

Lakshmi Babu Saheer, Gayathri Singaram, Kshipra Dhame
15 citations
Frontiers in Artificial Intelligence
Topic Modeling
37.21
article

Detection and classification of ChatGPT-generated content using deep transformer models

Lakshmi Babu Saheer, Gayathri Singaram, Kshipra Dhame
article en
15 citations

Abstract

Our findings establish a robust baseline for the detection and classification of AI-generated textual content. This work marks a significant step toward mitigating the potential misuse of AI-powered text generation tools by providing a reliable approach for distinguishing between human and AI-generated text. Future research could explore the generalizability of these models across different AI-generated content sources and address evolving challenges in AI text detection.

Frontiers in Artificial IntelligenceVol. 8
Anglia Ruskin University (GB)
Quality Education
Openalex Percentile: Top 0%
Topic Modeling
37.21
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