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AI Strategies for Sustainable Development Goals: Collective Action for Poverty Alleviation

AI Strategies for Sustainable Development Goals: Collective Action for Poverty Alleviation
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Author(s): Akhilesh Chandra Prabhakar (University of Technology, Papua New Guinea)
Copyright: 2025
Pages: 50
Source title: AI Strategies for Social Entrepreneurship and Sustainable Economic Development
Source Author(s)/Editor(s): Poshan Yu (Soochow University, China & European Business Institute, Luxembourg & Australian Studies Centre, Shanghai University, China), Steve K.M. Wong (Big Data Ideal Lab, China & Belt and Road Blockchain Association, China)and Akhilesh Chandra Prabhakar (University of Technology, Papua New Guinea)
DOI: 10.4018/979-8-3693-6392-8.ch019

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Abstract

Global poverty is a pressing issue that affects a large portion of the world's population. Understanding the underlying causes of poverty and implementing effective AI strategies for alleviation are crucial steps towards achieving sustainable development goals. The empirical research presented in this study adds valuable insights to the academic discourse on development economics and the interplay between economic growth, poverty reduction, and sustainable development in developing nations. It's through collective action and informed decision-making that we can make a positive impact on combating global poverty. The authors analyze the trends, conflicts and contradictions within the socio-economic-political-cultural systems within the periphery and semi-periphery nations and colonial linkages/legacies with the core nations. The chapter provides also a comprehensive treatment of the subject and recommends new perspectives on poverty alleviation and sustainable development goals.

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