Serdouk, fatehAbi, khalidaBen amor, Mohamed bachir2024-04-302024-04-302023-05-08Serdouk, fateh. Abi, khalida. Ben amor, Mohamed bachir. Exploring the Effectiveness of ChatGPT in Plagiarism Detection: Opportunities and Challenges for AI-based Approaches. . الملتقى العلمي التكويني الوطني حول: أساليب الوقاية من السرقة العلمية ومكافحتها في الجزائر مع الإشارة إلى تجارب دولية مماثلة. 8-9 ماي 2023. كلية العلوم الإقتصادية والتجارية وعلوم التسيير. جامعة الوادي[أكتب هنا تاريخ الإطلاع]. متاح على الرابط [انسخ هنا رابط التحميل]. .https://dspace.univ-eloued.dz/handle/123456789/32438InterventionThis research paper explores the effectiveness of Chat GPT, an AI-based language model, in the context of plagiarism detection. The study delves into the opportunities and challenges associated with employing AI approaches for identifying instances of plagiarism. Through a comprehensive assessment, including a thorough literature review and methodology description, the paper evaluates the accuracy and performance of Chat GPT in comparison to traditional methods and other AI-based techniques for detecting plagiarism. The results highlight the potential of Chat GPT in enhancing the detection of plagiarism while acknowledging the limitations and ethical considerations surrounding the use of AI in this domain. This study contributes valuable insights to the existing body of research on AI and plagiarism detection, shedding light on the prospects and obstacles related to leveraging Chat GPT and similar AI technologies to combat plagiarism effectively.enscientific researchplagiarismChat GPT.Intervention