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Role of AI in Modern Academic Research
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2025
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Abstract
AI is fast transforming the conduct of scholarly work across the methodological, analytical, collaborative, and innovative spectrum in contemporary academia and scholarship across fields of study. This chapter gives an account of the current use and future trends of AI in scholarship thereby laying the foundation for the subsequent sections of this book. It discusses how AI can help on hypothesis generation, data acquiring and curating, data analysis, experimentation, and cross-theme working with other disciplines. In addition, this chapter analyses ethical issues like transparency, bias, accountability, and participatory access that are crucial in the course of pursuing legitimate AI solutions. AI at the future perspective emphasizes new technologies like Enhanced NLP, XAI, AI-powered simulation, Robotics, and Predictive analysis. The findings of this chapter will be useful to scholars, policy makers, and educators who seek to implement the promises of AI in a socially beneficial way.
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