Artificial Intelligence Could Help End Poverty Worldwide

Artificial intelligence has been tasked with many projects in its brief history, but assisting in the latest United Nations projects aimed at ending world poverty, could represent the noblest goals yet posed to the artificial thinking of machine learning. It may also be the most challenging as its measurements and assessments would be applied to the entire world. Ending world poverty by 2030 is the most ambitious of 17 global missions, planned by the United Nations in 2015. These Sustainable Development Goals will require substantial amounts of data and data analysis. Marshall Burke of Stanford University’s Earth System Science explained to Quartz the need for some measure to gauge the success of the project. “How are we going to know if we’ve eliminated poverty if we don’t collect data? It’s…


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