Revolutionizing Research with AI: Tools and Trends for the Modern Scholar

M. Kumaran (), M. C. Subangi () and A. Muthuraj ()
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M. Kumaran: Assistant Librarian, Tamil Nadu National Law University (TNNLU)
M. C. Subangi: Agricultural Engineering College & Research Institute (TNAU), Deputy Librarian
A. Muthuraj: Assistant Librarian, Amrita Vishwa Vidyapeetham

A chapter in Proceedings of the International Conference on Marching Beyond the Libraries (ICMBL): Leadership, Creativity, and Innovation (ICMBL 2024), 2025, pp 212-225 from Springer

Abstract: Abstract Artificial Intelligence (AI) is transforming the research landscape by revolutionizing tools and processes across a wide range of disciplines. This article examines key areas where AI is driving significant changes, including automated literature reviews, data collection and management, hypothesis generation, data analysis, predictive modeling, and research collaboration. AI-powered tools like Iris.ai and Semantic Scholar simplify the process of conducting literature reviews, while frameworks such as TensorFlow and PyTorch enhance data analysis capabilities. AI also plays a critical role in predictive modeling, allowing researchers to simulate complex scenarios and explore potential outcomes. Additionally, AI-driven platforms facilitate collaboration and knowledge exchange, promoting more dynamic research environments. Despite its advantages, the adoption of AI in research requires careful consideration of ethical issues, such as algorithmic bias and data privacy, to ensure responsible and fair use. This AI-driven transformation is reshaping research practices, making them more efficient and enabling deeper, more insightful discoveries.

Keywords: Artificial Intelligence; AI; Research Innovation; Research Tools; AI Applications; AI-Driven Research (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-712-0_18

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