Generative AI in Education and Research: Opportunities, Concerns, and Solutions
2023/07/27 by Eman A. Alasadi, Carlos R. Baiz · 432 citations
Computer Science · Engineering · Medicine · #Artificial Intelligence in Healthcare and Education #Artificial intelligence #Computer science #Engineering #Engineering ethics #Explainable Artificial Intelligence (XAI) #Generative grammar #Online Learning and Analytics #Perspective (graphical) #Sociology
paper · doi:10.1021/acs.jchemed.3c00323
published in Journal of Chemical Education 100(8), 2965-2971 (American Chemical Society)
openalex publication_date 2023/07/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Abstract
In this article, we discuss the role of generative artificial intelligence (AI) in education. The integration of AI in education has sparked a paradigm shift in teaching and learning, presenting both unparalleled opportunities and complex challenges. This paper explores critical aspects of implementing AI in education to advance educational goals, ethical considerations in scientific publications, and the attribution of credit for AI-driven discoveries. We also examine the implications of using AI-generated content in professional activities and describe equity and accessibility concerns. By weaving these key questions into a comprehensive discussion, this article aims to provide a balanced perspective on the responsible and effective use of these technologies in education, highlighting the need for a thoughtful, ethical, and inclusive approach to their integration.
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