Epistemics of African Music Performance: Navigating Knowledge, Tradition, and the Digital Frontier

Abstract

African music traditions are profound epistemic systems, embodying knowledge, history, and spirituality. This paper explores the rich epistemologies inherent in these traditions and examines the role of Artificial Intelligence (AI) in their study and preservation. It critiques the pervasive epistemic bias in current AI technologies, advocating for culturally attuned systems developed through ethical community engagement, co-design, and culturally informed data collection. The paper presents case studies that illustrate how AI, when developed with bias mitigation strategies, can provide insightful analysis and support for diverse musical forms. Furthermore, it addresses the ethical considerations surrounding data sovereignty, informed consent, and equitable benefit sharing. Finally, the paper envisions the future of African music epistemology in the digital age, highlighting both the potential for AI to enrich musical landscapes and the critical challenges posed by digital divides, algorithmic bias, and cultural exploitation. The call is for an African-led approach to AI development that champions innovation, upholds cultural integrity, and ensures epistemic justice.