Redefining Experimental, Empirical, and Exploratory Research in AI Era

Purpose: To critically assess and enhance the integration of Artificial Intelligence (AI) in contemporary research methodologies. This study aims to evaluate the current use of AI across major research methods, identify gaps and opportunities, and establish comprehensive procedures for conducting and documenting AI-driven experimental, empirical, and exploratory research. By analyzing the advantages, benefits, constraints, and disadvantages using the ABCD framework, the research seeks to compare findings across different methods and assess their impact on AI-based research methodologies. Ultimately, the study aims to provide actionable insights and recommendations for advancing research practices in the AI era, ensuring that the methodologies evolve in line with technological advancements. Methodology: Exploratory method is used. The required information is searched using suitable keywords using Google search engine, Google Scholar search engine, and AI-driven GPTs and analysed using suitable analysis frameworks. Results & Analysis: The major research methods and scholarly publication formats of Experimental, Empirical, and Exploratory Research in AI Era are redefined, discussed, analysed, and interpreted with suitable suggestions. Outcome/Value Addition: The study aims to provide actionable insights and recommendations for advancing research practices in the AI era, ensuring that the methodologies evolve in line with technological advancements. Type of Research: Conceptual & Policy Research.