The Sino-American Rivalry in Artificial Intelligence A : Emerging challenges in the global landscape- Africa as a study case-

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dc.contributor.authorHamiane, Chaima
dc.date.accessioned2025-11-02T10:03:12Z
dc.date.available2025-11-02T10:03:12Z
dc.date.issued2025-10-26
dc.description.abstractleading revisionist peer competitor (China) which appears to be centered on the race to develop AI systems emphasizing the far reaching implications of these dynamics for African states and how to navigate this complex digital ecosystem in a way that benefits them without subserving the agenda of either side. This study uses the comparative analysis to analyze AI advancements in both states and focalize the gaps of the rivalry, in addition to the statistical analysis to determine which party holds a competitive advantage over the other, based on a set of quantitative indicators. While incorporating a case study to illustrate specific instances of AI rivalry implications which could provide concrete examples of how the rivalry manifests in real-world scenarios, particularly in the African landscape. The study has revealed that the US has more opportunities to win the race regarding its capabilities and China is catching up and taking the lead in Africa's AI, while this rivalry has a multidimentional implications on African states like Data exploitation, regulatory divergence resulting from infrastractural gaps and digital skill barriers and some positive aspects regarding AI's positive and transformative potential for African development. It also reaffirme by the end that the non-alignment is a more pragmatic way for Africa to manage its foreign partnerships while it is imperative to build the necessary AI capabilities.
dc.identifier.urihttps://dspace.enssp.dz/handle/123456789/1163
dc.language.isoen
dc.subjectRivalry
dc.subjectChina
dc.subjectAI systems
dc.subjectAfrican States
dc.subjectUnited States
dc.titleThe Sino-American Rivalry in Artificial Intelligence A : Emerging challenges in the global landscape- Africa as a study case-
dc.typeThesis

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