Abstract
With the rise of Generative Artificial Intelligence (GenAI) and especially Large Language Models (LLMs) to produce essays, courseworks, reviews, papers, books, news, etc., it is important to be able to differentiate between such AI-generated content and human-generated one. Hence, our paper proposes to detect text which has been produced by GenAI-based chatbots. Our detection system uses an explainable Artificial Intelligence (XAI) approach based on a Multinomial Naive Bayes (MNB) model, and it offers a free, open-source, and dataprivacy compliant tool for enterprises. Furthermore, it shows promising performances in terms of accuracy and sustainability when compared with existing freewares.
| Original language | English |
|---|---|
| Pages | 62-62 |
| Number of pages | 1 |
| Publication status | Published - 22 May 2026 |
| Event | 28th International Conference on Enterprise Information Systems - Benidorm, Spain Duration: 22 May 2026 → 24 May 2026 https://iceis.scitevents.org/?y=2026 |
Conference
| Conference | 28th International Conference on Enterprise Information Systems |
|---|---|
| Abbreviated title | ICEIS 2026 |
| Country/Territory | Spain |
| City | Benidorm |
| Period | 22/05/26 → 24/05/26 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 16 Peace, Justice and Strong Institutions
Keywords
- intelligent agents
- autonomous agents
- generative artificial intelligence (GenAI)
- large language models (LLMs)
- deep learning
- trust and transparency
- accountability and responsibility
- explainable artificial intelligence (XAI)
- human-computer interfaces supporting XAI
- decision support systems
- applications of expert systms
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