Artificial Intelligence and Intellectual Theft: ChallengesandPossibilities

Abstract

Plagiarism refers to the act of presenting another person's research, ideas,orcreative work as one's own without giving due credit. Research is consideredahighlyrespected and noble pursuit, but when ethical principles are violatedwithinit,theintegrity of research is compromised. This violation is known as plagiarism. Plagiarism is not limited to material or physical objects, it also includes intellectualandpractical assets. Historically, plagiarism has often occurred in literary creations. Whenapoet or novelist benefits, either openly or secretly from the research or experienceofanother creator and does not acknowledge the source, it falls under thecategoryofplagiarism. In the modern age, various digital tools have emerged that not only assist writersbutarealso capable of generating detailed articles from a single prompt throughartificialintelligence. Generally, when a human researcher commits plagiarism, anindividualorinstitution may detect it and raise their voice. However, in the case of machine-generatedplagiarism, tools such as ChatGPT, DeepSeek, and many other similar softwarenowavailable in the market can produce entire texts, making detection more complex. Plagiarism is a violation on both moral and legal grounds. Therefore, in this newera,itisnecessary for institutions to enact regulations that address the various forms of plagiarismemerging from AI-assisted research, so that such practices can be minimized.