Book Title: Innovative Approaches in Multidisciplinary Research and Development (IAMRD)
Chief Editors: Dr. Anil Kashinath Salunke and Dr. Rituraj Pant
Associate Editors: Prof. (Dr.) Sourav Madhur Dey and Dr. Amrutha Satheesan
Co-Editors: Dr. Souvik Sur and Dr. Phakir Singh
ISBN: 978-93-7183-004-1
Chapter: 13
DOI: https://doi.org/10.59646/708/13
Authors: Dr. Maria Boaler and Prof. Geetha. V
Abstract
The rapid advancement of Artificial Intelligence (AI) has significantly transformed the landscape of multidisciplinary research by enabling integration across diverse domains such as education, business, healthcare, and social sciences. This chapter explores how AI-driven tools and methodologies enhance research design, data analysis, and decision-making processes. It highlights the role of machine learning, natural language processing, and predictive analytics in bridging disciplinary silos and fostering innovation. The chapter also examines ethical considerations, including data privacy, algorithmic bias, and transparency. Through illustrative examples, the study demonstrates how AI facilitates more efficient, scalable, and impactful research outcomes. The findings suggest that AI not only accelerates knowledge creation but also reshapes the way researchers collaborate across disciplines. The chapter concludes with recommendations for integrating AI responsibly into multidisciplinary research frameworks.
Keywords: Artificial Intelligence, Multidisciplinary Research, Predictive Analytics, Research Innovation, Ethics