Prioritizing Ethical Conundrums in the Utilization of ChatGPT in Education through an Analytical Hierarchical Approach

Datos Bibliográficos

ID22047095
AutoresUmar Ali Bukar (0000-0002-3983-6919, Multimedia University), Md Shohel Sayeed (0000-0002-0052-4870, Multimedia University, autor de correspondencia), Abdul Razak (0000-0002-6108-3183, Multimedia University), Sumendra Yogarayan (0000-0002-5151-2300, Multimedia University), Radhwan Sneesl (0000-0003-3572-9216, University of Basrah)
Año2024
Volumen14
Número9
Páginas959
Fecha de publicación2024-08-30
Open AccessSí
TipoARTICLE
RevistaEducation Sciences (JOURNAL)
Identificadores de la revistaISSN: 2227-7102 • E-ISSN: 2227-7102
EditorialMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci14090959
OpenAlexW4402049988
IdiomaEN
Citas recibidas4
Referencias citadas106

The transformative integration of artificial intelligence (AI) into educational settings, exemplified by ChatGPT, presents a myriad of ethical considerations that extend beyond conventional risk assessments. This study employs a pioneering framework encapsulating risk, reward, and resilience (RRR) dynamics to explore the ethical landscape of ChatGPT utilization in education. Drawing on an extensive literature review and a robust conceptual framework, the research identifies and categorizes ethical concerns associated with ChatGPT, offering decision-makers a structured approach to navigate this intricate terrain. Through the Analytic Hierarchy Process (AHP), the study prioritizes ethical themes based on global weights. The findings underscore the paramount importance of resilience elements such as solidifying ethical values, higher-level reasoning skills, and transforming educative systems. Privacy and confidentiality emerge as critical risk concerns, along with safety and security concerns. This work also highlights reward elements, including increasing productivity, personalized learning, and streamlining workflows. This study not only addresses immediate practical implications but also establishes a theoretical foundation for future AI ethics research in education

Engineering ethics · Management science · Mathematics education · Sociology · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Computer Science · COVID-19 diagnosis using AI · Engineering · Psychology

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