Algorithmic Creativity: A Systematic Review of AI and Artistic Expression in the Digital African Landscape

Abstract

This systematic review investigates the nascent interface between artificial intelligence and artistic expression within the digital realms of Kenya and the larger African continent. The paper, underpinned by the theoretical lenses of Actor-Network Theory and Critical AI Studies, seeks to critically explore the network of human and non-human actors constituting the phenomenon of algorithmic creativity. The objective of this systematic review is to review and synthesise extant literature on opportunities and challenges of generative artificial intelligence in the African creative space. A comprehensive search was performed covering major academic databases (including WoS, Scopus, ProQuest, and IEEE Xplore) and grey literature from 2014 to 2025. Thematic synthesis was used in analysing the literature retrieved. The primary findings suggest a vibrant and dynamic system in which African artists are hailing AI as equal partners in creating new Afrofuturist stories, challenging cultural stereotypes, and levelling the creative playing field. Nonetheless, this adoption process is riddled with numerous risks, including algorithmic bias replication, a novel ‘data colonialism’ mode that extracts cultural value with no reciprocation, and a severe legal gap in IP protection. The review concludes that although generative AI offers novel opportunities for the expression of art, its ethical and sustainable utilisation requires a steadfast decolonial outline. A decolonial AI frame is dependent on creative sovereignty, community-centred data stewardship, and culturally responsive AI algorithmic creation to fully harness the potential of AI in African creative expression.