Artificial intelligence and poverty alleviation: Emerging innovations and their implications for management education and sustainable development

被引:14
|
作者
Goralski, Margaret A. [1 ]
Tan, Tay Keong [2 ]
机构
[1] Quinnipiac Univ, Sch Business, Strategy Dept, Entrepreneurship, 275 Mt Carmel Ave, Hamden, CT 06518 USA
[2] Radford Univ, 5310 Coll Humanities & Behav Sci Bldg, Dept Polit Sci, Radford, VA 24142 USA
来源
关键词
Artificial intelligence; Poverty; Management education; Agriculture; Sustainable development;
D O I
10.1016/j.ijme.2022.100662
中图分类号
F [经济];
学科分类号
02 ;
摘要
Artificial Intelligence (AI) could help humanity achieve the ambitious goal of eradicating extreme poverty. The United Nations (UN) General Assembly, in its declaration Transforming Our World: The 2030 Agenda for Sustainable Development, boldly proclaimed the aspirations of the nations of the world to "end poverty in all its forms everywhere." No Poverty is the first of the 17 UN Sustainable Development Goals (SDGs). However, humanity is not on track to accomplish this ambitious goal; the COVID-19 pandemic has increased joblessness and economic disruption pushing additional millions into extreme poverty and rolling back the gains in poverty alleviation over the past three decades. This paper briefly explores the theoretics of poverty, recent trends in management education, and emerging innovations in AI. It provides some examples of AI implementation in the agriculture sector and draws inferences from these diverse but coalescing transformations in AI, management education, and sustainable development.
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页数:9
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