Artificial Intelligence Tools and Sustainable Development

Artificial Intelligence (AI) has emerged as a transformative technology, playing a critical role in advancing sustainable development. This paper examines the intersection of AI tools and sustainable development, focusing on key areas such as environmental protection, resource management, and societal well-being. By leveraging AI for climate change mitigation, biodiversity conservation, and waste management, we can achieve significant environmental benefits. In resource management, AI enhances water resource management, agricultural practices, and sustainable urban planning. Additionally, AI contributes to societal well-being through improved healthcare, personalized education, and effective disaster response. Despite its potential, the implementation of AI in sustainable development faces challenges, including data privacy concerns, algorithmic bias, and the need for adequate infrastructure and expertise. Addressing these challenges is crucial for maximizing AI’s positive impact on sustainability. This paper will cover three main areas where AI impacts sustainable development: environmental protection, resource management, and societal well-being. Each section delves into specific applications, providing case studies and examples to illustrate AI's role. This paper provides a comprehensive overview of current AI applications in sustainable development, discusses their potential impacts, and explores the ethical and practical considerations involved. By doing so, it aims to contribute to the ongoing discourse on how AI can be harnessed to create a more sustainable and equitable future.

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Publication Details

Journal
Journal of Information and Technology
Published
2025-06-19
DOI
https://doi.org/10.70619/vol5iss5pp26-33
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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Artificial Intelligence Tools and Sustainable Development

KN Jonathan
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Journal of Information and Technology
Smart Cities and Technologies
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Artificial Intelligence Tools and Sustainable Development

KN Jonathan
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Abstract

Artificial Intelligence (AI) has emerged as a transformative technology, playing a critical role in advancing sustainable development. This paper examines the intersection of AI tools and sustainable development, focusing on key areas such as environmental protection, resource management, and societal well-being. By leveraging AI for climate change mitigation, biodiversity conservation, and waste management, we can achieve significant environmental benefits. In resource management, AI enhances water resource management, agricultural practices, and sustainable urban planning. Additionally, AI contributes to societal well-being through improved healthcare, personalized education, and effective disaster response. Despite its potential, the implementation of AI in sustainable development faces challenges, including data privacy concerns, algorithmic bias, and the need for adequate infrastructure and expertise. Addressing these challenges is crucial for maximizing AI’s positive impact on sustainability. This paper will cover three main areas where AI impacts sustainable development: environmental protection, resource management, and societal well-being. Each section delves into specific applications, providing case studies and examples to illustrate AI's role. This paper provides a comprehensive overview of current AI applications in sustainable development, discusses their potential impacts, and explores the ethical and practical considerations involved. By doing so, it aims to contribute to the ongoing discourse on how AI can be harnessed to create a more sustainable and equitable future.

Journal of Information and TechnologyVol. 5(5)
University of Lay Adventists of Kigali (RW), Universidad Latina (MX)
Responsible consumption and production, Life in Land
Openalex Percentile: Top 81%
Smart Cities and Technologies
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Artificial Intelligence Tools and Sustainable Development — KN Jonathan · Journal of Information and Technology (2025) | TGRS Research Map | TGRS