Artificial Intelligence (AI) -assisted Education Poverty Alleviation in the Stage of Relative Poverty: Focuses, Advantages, Difficulties and Strategies

As the starting point to achieve the leap forward development of education in the new era, AI provides a broad space for consolidating the achievements of poverty alleviation in the next stage. Based on the perspective of AI, this paper puts forward four key objects of education poverty alleviation in the stage of relative poverty:economic poverty, knowledge poverty, spiritual poverty, and information poverty. Based on this, it analyzes the advantages and difficulties of AI technology in helping education poverty alleviation. At present, in order to promote AI-assisted education poverty alleviation in China, there is a need to optimize the infrastructure construction of intelligent education and improve the construction of information privacy security system in schools in underdeveloped areas. It is also necessary to provide open platforms and services, and pay attention to cultivation of talents of AI.