Deus Ex Machina: Unraveling Academic Integrity in the AI Narrative
Keywords:
Academic Integrity, Artificial Intelligence, Generative Models, Higher Education, Theoretical AnalysisAbstract
In the dynamic realm of higher education, the interplay between academic integrity and Artificial Intelligence (AI) presents a critical frontier for exploration. This study delves into the nuances of this relationship, focusing mainly on the impacts of Generative AI on the principles of originality and honesty in academia. While existing literature provides insight into AI's educational roles, its intersection with academic integrity remains underexplored. This research aims to bridge this knowledge gap through a meticulous theoretical analysis of Generative AI's transformative effects on academic integrity. The study employs an innovative methodological approach, analysing both the constructive and destructive capabilities of AI in academic settings. It investigates how Generative AI can simultaneously challenge academic integrity through issues like AI-generated plagiarism and supports it by enhancing plagiarism detection and academic assessment. The findings unveil a complex narrative, suggesting that Generative AI holds the potential to both undermine and reinforce the foundations of academic honesty. This dual potential underscores the critical need for a balanced and thoughtful integration of Generative AI in educational environments. The insights garnered from this study highlight the imperative for academia to navigate these technological advancements with a keen focus on upholding the sanctity of academic integrity.
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