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Harnessing AI and IoT for Advancing Sustainable Development Methods
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Journal Article
Harnessing AI and IoT for Advancing Sustainable Development Methods
2025
Overview
The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) offers transformative potential for advancing sustainable development, aligning with the United Nations' 2030 Agenda for Sustainable Development. This study conducts a systematic literature review (SLR) of 72 peer-reviewed studies (2019-2025) to explore innovative models, methods, and applications of AI-IoT in promoting sustainability. Grounded in systems theory, socio-technical systems, and sustainability science, the findings highlight prevalent models like smart cities and precision agriculture, advanced methods such as machine learning and edge AI, and applications across energy, agriculture, healthcare, transportation, and water management. Key outcomes include 15-25% efficiency gains in renewable energy and up to 30% reductions in water usage. However, challenges such as data privacy, algorithmic bias, and digital divide, coupled with an urban bias in applications, underscore the need for ethical and inclusive approaches. Research gaps, including limited longitudinal studies and rural underrepresentation, point to future directions like green AI frameworks and standardized protocols. This article provides actionable recommendations for policymakers, practitioners, and researchers to foster equitable, sustainable AI-IoT solutions, contributing to the global pursuit of the Sustainable Development Goals.
Publisher
اتحاد الجامعات العربية - الأمانة العامة
Subject
