Leveraging Artificial Intelligence for Sustainable Development: A Cross-Sectoral Approach

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Dr. Shudhodhan Bokefode; Dr. Ramesh Shahabade; Dr. Rohini Palve; Dr.kishor sakure; Dr.varsha Bodade

Leveraging Artificial Intelligence for Sustainable Development: A Cross-Sectoral Approach

Authors: Dr. Shudhodhan Bokefode, Dr. Ramesh Shahabade, Dr. Rohini Palve, Dr.kishor sakure, Dr.varsha Bodade

Unique Paper ID: 183276
Volume: 12
Issue: 3
PageNo: 768-774

Keywords: Artificial Intelligence Sustainable Development Machine Learning Cross-sectoral Innovation SDGs Digital Transformation.

Abstract:
Artificial Intelligence (AI) has emerged as a transformative force with the potential to accelerate progress toward the United Nations Sustainable Development Goals (SDGs). This paper explores the integration of AI technologies across multiple sectors—including agriculture, healthcare, energy, and urban planning—to promote sustainable development. By leveraging machine learning, predictive analytics, and automation, AI can optimize resource allocation, enhance decision-making, and reduce environmental impact. The study adopts a cross-sectoral methodology, analyzing case studies and empirical data to evaluate AI's role in driving innovation while ensuring inclusivity and sustainability. Key findings reveal that while AI offers significant benefits, challenges such as data accessibility, ethical concerns, and the digital divide must be addressed to ensure equitable development. This research contributes a strategic framework for implementing AI-driven solutions that align with global sustainability objectives.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 3
PageNo: 768-774

Leveraging Artificial Intelligence for Sustainable Development: A Cross-Sectoral Approach

Available:https://ijirt.org/article?manuscript=183276

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