An Analysis of the Trends in Accelerating Sustainable Development Goals (SDG) Management Through AI Integration Frameworks
An Analysis of the Trends in Accelerating Sustainable Development Goals (SDG) Management Through AI Integration Frameworks

Author(s): Dimitrios A. Karras
Subject(s): Social Sciences
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Sustainable Development Goals; AI; AI integration frameworks
Summary/Abstract: Integrating artificial intelligence (AI) into the management of Sustainable Development Goals (SDGs) presents a transformative opportunity to address pressing global challenges. This paper explores the multifaceted applicability of AI in advancing the 17 SDGs, highlighting its potential to enhance efficiency, drive innovation, and foster inclusive growth across various sectors. Through a comprehensive review of existing literature and case studies, we identify that AI can enable progress on 134 targets (approximately 79% of all SDG targets) while recognizing the risks associated with its implementation, including ethical concerns and potential biases. The author discusses specific applications of AI in critical areas such as healthcare, agriculture, climate action, and education, illustrating how AI technologies can facilitate data-driven decision-making and resource optimization. More precisely, it is herein attempted to present how AI can be applied to SDG targets and goals, as well as to present a general flowchart of the steps of AI applicability in SDG management. Moreover, this paper attempts to model a framework for AI integration with SDG management employing a preliminary UML-based design. Ultimately, this paper aims to provide some insights into harnessing AI as a catalyst for accelerating the SDGs while addressing the challenges accompanying its rapid advancement and the relative risks.

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