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![]() Title:AsɛMpayɛTsia: an Afrocentric Framework for Computational Creativity in Sound and Image Authors:Nana Amowee Dawson Conference:evostar2026 Tags:Afrocentric aesthetics, Artistic research, Asɛmpayɛtsia framework, Computational creativity, Cultural computation, Decolonial AI and Generative sound and image Abstract: This paper introduces Asɛmpayɛtsia, an Afrocentric compositional framework derived from Ghanaian-Akan-Mfantse folklore (Kodzi), as a new model for computational creativity. Developed through artistic research in music and audiovisual composition, the framework proposes a Triadic Process of Artistic Translation—cultural excavation, compositional translation, and audiovisual reinscription—as a generative system through which intangible heritage can inform artificial intelligence–based creative processes. Inspired by UNESCO’s 2003 Convention on the Safeguarding of Intangible Cultural Heritage, the Fourth Industrial Revolution, and the African Union’s Agenda 2063 (Aspiration 5), Asɛmpayɛtsia redefines African cultural forms as dynamic creative algorithms rather than archival artifacts. The paper maps the logic of oral reasoning, cyclical temporality, and communal improvisation found in Akan artistic reasoning onto computational principles of iteration, recursion, and emergence. By reframing indigenous artistic cognition as a computational aesthetic model, this work contributes to current discourses on Decolonial AI and Cultural Computation, offering an alternative to Eurocentric paradigms of generative art and music. Ultimately, Asɛmpayɛtsia positions artistic research as a method for designing AI systems that think with—rather than about—African heritage, advancing new possibilities for intercultural creativity and algorithmic imagination. AsɛMpayɛTsia: an Afrocentric Framework for Computational Creativity in Sound and Image ![]() AsɛMpayɛTsia: an Afrocentric Framework for Computational Creativity in Sound and Image | ||||
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