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TRV-2026-0409Version 1 · Certified

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TRUVACE RECORD VERSION
record: TRV-2026-0409
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-20T10:33:46.409940Z
status: published
lens: trace
sector: entertainment
headline: Reclaiming the Sonic Archive: AI, Data Sovereignty, and the Future of Mijikenda Music
dek: This paper examines the ethical implications and risks of applying artificial intelligence (AI) to Indigenous musical heritage, with a specific focus on the Mijikenda communities in the coast of Kenya. Traditional AI tools, deeply rooted in Western systems of knowledge, carry a significant risk of perpetuating digital colonialism. This manifests through the decontextualisation of sacred musical practices and the infringement of crucial data sovereignty rights. The study aims to analyse the fundamental effects em…
gain_title: A decolonial framework grounding AI in Indigenous Knowledge Systems could shift AI from extraction to community-led cultural care for Mijikenda music, empowering communities and sustaining living sonic heritage.
problem_title: Applying conventional Western-rooted AI tools to Mijikenda musical heritage risks perpetuating digital colonialism through decontextualisation of sacred practices, infringement of data sovereignty, and cultural appropriation.
trace_subject: use of AI on Mijikenda musical heritage and its impact on cultural continuity and sovereignty
gain_reading: A decolonial framework grounding AI in Indigenous Knowledge Systems could shift AI from extraction to community-led cultural care for Mijikenda music, empowering communities and sustaining living sonic heritage.
gain_evidence: utilisation as a platform for community-led cultural care | empowering Indigenous communities and ensuring the sustainable continuity of their living sonic heritage
problem_reading: Applying conventional Western-rooted AI tools to Mijikenda musical heritage risks perpetuating digital colonialism through decontextualisation of sacred practices, infringement of data sovereignty, and cultural appropriation.
problem_evidence: carry a significant risk of perpetuating digital colonialism | decontextualisation of sacred musical practices and the infringement of crucial data sovereignty rights | widespread threat of cultural appropriation
quick_read: This peer-reviewed paper examines ethical implications of applying artificial intelligence to Indigenous musical heritage of the Mijikenda communities on Kenya's coast. It finds a divergence between AI's extractive logic and holistic Indigenous Knowledge Systems, with risks of decontextualising sacred practices and infringing data sovereignty.

The analysis matters because it reframes AI in music from a technical archiving tool to a question of who controls cultural data and meaning. While it proposes a decolonial, community-led model for cultural care, the work remains conceptual based on literature review and practitioner perspectives, leaving open how such principles would be implemented in actual AI systems.
limitation: 
tag: Automated dual reading
key_points: Study focuses on Mijikenda communities on the coast of Kenya and their musical heritage. | Authors identify divergence between AI's extractive logic and holistic principles of Indigenous Knowledge Systems. | Primary community concern cited is widespread threat of cultural appropriation and music's value beyond mere data.
rundown: The paper employs a systematic review of existing literature combined with documented perspectives of Mijikenda practitioners and analysis of scholarly works on African musicology.

It identifies algorithmic bias and cultural appropriation as specific risks when conventional AI methodologies interact with Mijikenda knowledge systems that view music beyond mere data.
sources:
- peer_reviewed | Journal of Visual and Performing Arts | https://doi.org/10.58721/jvpa.v3i1.1516 | 2025-12-30
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