Use and Impact of Artificial Intelligence on Climate Change Adaptation in Africa

Isaac Rutenberg, Arthur Gwagwa, Melissa Omino

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Although Climate Change is a global phenomenon, the impact in Africa is anticipated to be greater than in many other parts of the world. This expectation is supported by many factors, including the relatively low shock tolerance of many African countries and the relatively high percentage of African workers engaged in the agricultural sector. High-income countries are increasingly turning their focus to climate change adaptation, and Artificial Intelligence (AI) is a critical tool in those efforts. Algorithms using AI are making better predictions on the short- and long-term effects of climate change, including predictions related to weather patterns, floods and droughts, and human migration patterns. It is not clear, however, that Africa is (or will be) maximally benefitting from those AI tools, particularly since they are largely developed by highly developed countries using data sets that are specific to those same countries. It is therefore important to characterize the efforts underway to use AI in a way that specifically benefits Africa in climate change adaptation. These efforts include projects undertaken physically in Africa as well as those that have Africa as their focus. In exploring AI projects in or about Africa, this chapter also looks at the sufficiency of such efforts and the variety of approaches taken by researchers working with AI to address climate change in Africa.
Original languageEnglish
Title of host publicationAfrican Handbook of Climate Change Adaptation
EditorsNicholas Oguge, Desalegn Ayal, Lydia Adeleke, Izael da Silva
Place of PublicationCham
PublisherSpringer
Chapter55
Pages1107-1126
Number of pages20
Edition1
ISBN (Electronic)978-3-030-45106-6
ISBN (Print)978-3-030-45105-9
DOIs
Publication statusPublished - 21 May 2021

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