Generative Artificial Intelligence in Academic Research

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Authors: Mohammad Azim Arbabi, Wali Khan Monib, Mussa Saidi Abubakari, Wasswa Shafik
Cited by: 2
References: 44

Abstract

This chapter discusses artificial intelligence (AI) tools in academic research, focusing on their potentials and challenges, global major frameworks, such as European Union Ethics Guidelines for trustworthy AI, Beijing Consensus, UNESCO guidance for generative AI in education and research, the US recommendations for AI in education, and Australian framework for generative AI, Singapore AI in education ethics framework. It examines ethical and practical considerations of generative AI tools in academic research, current trends in global AI ethics policies, benefits and challenges of generative AI tools in research. Finally, it presents case studies, implications, future directions, reflecting on different aspects of these tools and contributes to ongoing scientific discussion on the integration of generative AI tools into academic research in higher education.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Online Learning and Analytics Ethics and Social Impacts of AI

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
55–84
Publication date
4 February 2026
Document type
Book chapter