Chatbot Detection with the Help of Artificial Intelligence

Abstract

This research paper explores the application of Artificial Intelligence (AI) techniques in the detection of chatbots, addressing the growing concern of automated conversational agents in online interactions. We investigate various AI-driven approaches, including machine learning, deep learning, and natural language processing, to distinguish between human and chatbot-generated text. Our study analyses a diverse dataset of conversations, evaluating the performance of different algorithms and their implications for real-world applications. The results demonstrate the effectiveness of AI in chatbot detection, with deep learning models showing particular promise. We also discuss the ethical considerations and future directions for this rapidly evolving field, emphasizing the need for responsible development and deployment of chatbot detection technologies.