Author: Prodip Roy
Abstract: This research offers a thorough bibliometric assessment of worldwide studies that intersect Artificial Intelligence (AI) with the Sustainable Development Goals (SDGs) between 2023 and 2025, utilizing data from 1,349 documents indexed in Scopus. The results indicate that this rapidly evolving yet varied field is marked by significant thematic diversity, moderate growth, and early citation impact. India stands out as the leader in research output, while nations such as Malaysia and Saudi Arabia demonstrate strong rates of international collaboration. Conceptual mapping highlights two primary clusters: one cantered on practical sustainability applications and another on core AI methodologies and education. Despite the increasing momentum, challenges persist concerning metadata consistency, ethical incorporation, and the conversion of knowledge into practical initiatives. This study serves as an essential reference for enhancing the AI-SDG research field, aiming for improved coherence, inclusivity, and global policy development.
Keywords: Artificial Intelligence (AI), Sustainable Development Goals (SDGs), Bibliometric Assessment, Scientometric Assessment, Knowledge, Practical Sustainability, Education.
Page No: 254-267