Abstract & Overview
Artificial Intelligence (AI) has evolved into an indispensable tool in education. AI usage in education permeates tutoring systems, automated essay scoring, plagiarism detection, virtual reality simulations, and chatbot-based learning support. This ubiquity has threatened the tenets of academic integrity upon which the entire education system hinges. This present conceptualization focuses on demystifying the concepts and conversations at the nexus of AI adoption and academic integrity. The conceptualization deeply explored the development of AI and the motivation for its deployment in education. A broad overview of academic integrity highlights the core values of honesty, trust, fairness, respect, responsibility, and courage. This was followed by a detailed exploration of the techniques used by students to avoid detection of AI-generated work. A focal discussion was then provided on the impact of AI-generated writing tasks on students’ academic integrity, highlighting both opportunities and challenges. Next, the technical, procedural, educational, and collaborative strategies for detecting and minimizing the rate of AI-generated work among students were discussed. The Technology Acceptance Model and Academic Integrity Framework were discussed as conceptualizations' theoretical foundations. The conceptualization closes with a summary of recent empirical research emphasizing the need for further studies to explore all ramifications of the influence of AI on academic integrity. It is hoped that the conceptual clarity provided in this work will support the emerging scholarship on AI's influence on society.