- Source
- Journal of Music and Creative Arts (JMCA)
- Published
- 13 Feb 2026
- Authors
- Brian Bichanga Nyandieka
Excerpt from source
The purpose of this article is to address the systematic bias in artificial intelligence (AI) music assessment systems that marginalise Indigenous African musical forms, specifically Ohangla music from Kenya’s Luo community. Current AI systems, designed around Western-centric musical paradigms, fail to recognise Ohangla’s complex polyrhythms and multifaceted cultural functions, resulting in misclassification and epistemological erasure of Indigenous musical knowledge. This study employs a systematic literature review synthesising thirty sources across ethnomusicology, AI bias research, technical music AI development, and Indigenous data sovereignty frameworks. It analyses Ohangla’s cultural…
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