American International Journal of Research and Innovation

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Academic Integrity in the Age of Generative Artificial Intelligence

Author(s) Sarah Eaton
Country United States
Abstract The rapid development of Generative Artificial Intelligence (GenAI) has introduced significant opportunities and challenges within academic environments. AI-powered tools can support learning, research assistance, writing improvement, idea generation, and personalized educational experiences. However, their increasing use has created complex questions regarding academic integrity, authorship, originality, assessment reliability, and responsible knowledge creation.
This study examines academic integrity in the context of Generative Artificial Intelligence and explores strategies for maintaining ethical academic practices in AI-supported educational environments. The research analyses key dimensions including AI-assisted learning practices, transparency of AI usage, plagiarism prevention, assessment redesign, digital literacy, and ethical decision-making. A conceptual analytical framework supported by simulated observations is developed to evaluate approaches for strengthening academic integrity in the era of generative AI.
The findings indicate that responsible AI integration can support academic learning when combined with clear institutional policies, AI literacy development, transparent disclosure practices, and redesigned assessment approaches. However, challenges including unauthorized AI assistance, unclear authorship boundaries, unreliable AI-generated content, privacy concerns, and inconsistent institutional guidelines continue to affect academic integrity.
The study contributes to educational technology and academic ethics research by presenting a balanced perspective on the relationship between Generative AI and scholarly responsibility. The findings provide practical implications for educators, institutions, policymakers, and students seeking ethical approaches for integrating AI technologies into academic practices.
Keywords Academic Integrity, Generative Artificial Intelligence, AI Ethics, Higher Education, Academic Misconduct, AI Literacy, Responsible Technology Use
Field Engineering
Published In Volume 3, Issue 3, May-June 2021
Published On 2021-05-16
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