Leveraging Artificial Intelligence for Advancing Key Sectors of National Growth and Development

Ogunseye, Olusola Olabisi and Ajayi, Oladapo Tolulope and Fabusoro, Adetutu and Abba, Amina Oje and Adepoju, Benjamin (2025) Leveraging Artificial Intelligence for Advancing Key Sectors of National Growth and Development. Asian Journal of Current Research, 10 (1). pp. 45-55. ISSN 2456-804X

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Abstract

This study explores the transformative potential of artificial intelligence (AI) in national development across key sectors, including economic growth, healthcare, education, infrastructure, and security. Using a qualitative doctrinal research approach, it synthesizes insights from peer-reviewed literature, policy analyses, and case studies to assess AI's contributions and challenges in fostering sustainable progress. Key findings highlight AI’s role in driving economic productivity through automation and innovation while underscoring its impact on the workforce and job market transformation. In healthcare, AI enhances diagnostics, treatment planning, and public health interventions, though concerns about data privacy and algorithmic bias persist. Education systems benefit from AI-enabled personalized learning and skill development, preparing future-ready workforces. Additionally, AI supports sustainable infrastructure through smart city initiatives, improving resource management and urban planning. Despite these advancements, the study identifies challenges such as ethical dilemmas, digital divides, and governance gaps that hinder equitable AI adoption. Recommendations include establishing transparent regulatory frameworks, fostering international collaboration, and investing in digital literacy to ensure inclusive growth. By addressing these issues, AI can become a cornerstone of national development, contributing to the United Nations' Sustainable Development Goals. This research underscores the importance of balanced policies and proactive governance to harness AI's benefits while mitigating associated risks.

Item Type: Article
Subjects: East India Archive > Multidisciplinary
Depositing User: Unnamed user with email support@eastindiaarchive.com
Date Deposited: 23 Jan 2025 09:08
Last Modified: 23 Jan 2025 09:08
URI: http://article.ths100.in/id/eprint/1968

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