Artificial Intelligence Applications for Academic Plagiarism Detection: Current Status and Future Prospect (67009)
Session Chair: Earlisha Whitfield
Friday, January 6, 2023 (15:50)
Session: Session 5
Room: 322B
Presentation Type:Oral Presentation
Plagiarism is one of the most severe cases of academic misconduct. Education institutions take this issue seriously by applying various types of anti-plagiarism tools. Still, certain forms of plagiarism, such as paraphrasing or translating from other languages, remain challenging to detect and act upon. Artificial intelligence (AI) technologies could potentially revolutionize plagiarism detection approaches by employing algorithms that identify patterns to assess original authorship. This is a substantial improvement over traditional anti-plagiarism methods that look for direct matches of text strings. The major benefit then would be in detecting more elaborate plagiarism techniques to assure academic integrity. This paper reviews and discusses the existing AI-enabled approaches to plagiarism detection by reviewing available literature on the topic. The goal is to provide insight regarding the key development areas, assess the capabilities of the existing tools, and identify enablers and barriers to wide scale adoption and implementation of such tools. With this, the paper seeks to offer practical guidance regarding AI applications for academic plagiarism detection.
Authors:
Waleed Afandi, King Abdulaziz University, Saudi Arabia
About the Presenter(s)
Dr Waleed Afandi is a University Associate Professor/Senior Lecturer at King Abdulaziz University in Saudi Arabia
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