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Generative Artificial Intelligence in Academic Research
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4
Autoren
2026
Jahr
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.
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