American Journal of Advanced Multidisciplinary Research and Innovation

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Artificial Intelligence for Sustainable Development: A Multidisciplinary Framework

Author(s) Michael I. Jordan
Country United States
Abstract Artificial Intelligence (AI) has emerged as a transformative technology with significant potential to accelerate sustainable development by addressing complex global challenges across economic, social, environmental, and technological domains. Through the integration of machine learning, deep learning, natural language processing (NLP), computer vision, Internet of Things (IoT), big data analytics, cloud computing, blockchain, digital twins, robotics, and edge computing, AI enables intelligent decision-making, resource optimization, predictive analytics, and automation across multiple sectors. AI-driven solutions are increasingly being applied in sustainable agriculture, healthcare, education, renewable energy, climate change mitigation, biodiversity conservation, smart cities, transportation, disaster management, manufacturing, finance, and public governance. These technologies contribute to achieving the United Nations Sustainable Development Goals (SDGs) by improving efficiency, reducing resource consumption, enhancing environmental monitoring, promoting social inclusion, and supporting evidence-based policymaking.
This study investigates Artificial Intelligence for Sustainable Development through a multidisciplinary framework. Using a qualitative and analytical research methodology based on secondary data from computer science, engineering, environmental science, economics, public policy, healthcare, education, and management literature, the study examines AI technologies, interdisciplinary applications, implementation frameworks, governance mechanisms, ethical considerations, sustainability impacts, implementation challenges, and future research directions. Particular emphasis is placed on responsible AI, Explainable AI (XAI), AI governance, digital inclusion, green AI, intelligent automation, and human-centered innovation.
The findings indicate that Artificial Intelligence significantly improves resource efficiency, environmental sustainability, public service delivery, healthcare accessibility, educational quality, economic productivity, and strategic decision-making. AI supports predictive environmental monitoring, precision agriculture, renewable energy optimization, smart infrastructure, intelligent healthcare systems, financial inclusion, and digital governance while enhancing resilience against global challenges. However, issues including algorithmic bias, cybersecurity threats, energy consumption, digital inequality, privacy concerns, regulatory uncertainty, workforce transformation, and ethical governance remain major barriers to sustainable AI adoption. The study concludes that integrating AI with interdisciplinary collaboration, responsible governance, sustainable innovation, and inclusive policy frameworks provides a comprehensive pathway toward achieving long-term sustainable development.
Keywords Artificial Intelligence, Sustainable Development, Sustainable Development Goals, Machine Learning, Green AI, Explainable AI, Digital Transformation, Multidisciplinary Research.
Field Engineering
Published In Volume 3, Issue 6, November-December 2021
Published On 2021-11-01
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