Detecting Plagiarism Using AI: Methods, Chall...

Detecting Plagiarism Using AI: Methods, Challenges, and Future Directions

Author Name : Mrs. Ramanpreet kaur Sahota

ABSTRACT Plagiarism detection is a significant challenge in academic, publishing, and digital content creation. Traditional methods based on string matching and rule-based techniques struggle to detect advanced forms of plagiarism, such as paraphrasing and AI-generated text. Recent advancements in artificial intelligence (AI), particularly in natural language processing (NLP) and deep learning, have led to more effective plagiarism detection techniques. This paper explores AI-based approaches, including semantic similarity analysis, transformer-based models, and adversarial learning techniques. We discuss the challenges of AI-driven plagiarism detection, such as adversarial text manipulation, dataset biases, and computational efficiency. Finally, we highlight future directions, emphasizing the need for explainable AI, cross-lingual detection, and real-time processing.