AI’s Growing Role in Sierra Leone’s Music Industry
Over the past few years, artificial intelligence has moved from experimental labs into recording studios across West Africa. In Sierra Leone, producers and songwriters are beginning to test AI‑driven tools for beat making, vocal processing, and lyric suggestion. While the technology promises faster workflows and fresh sonic palettes, it also sparks debate about who truly owns a song when a machine contributes to its creation.
Producer Perspective: Nashito Kulala
Joseph Koroma, widely known as Nashito Kulala, has shaped the sound of Sierra Leonean hip‑hop and Afro‑pop for more than two decades. He tells Africanews that AI can “speed up production and improve ideas” by handling repetitive tasks such as drum pattern generation or pitch correction.[1] Yet he stresses that the artist must remain the creative director: “The machine suggests; the human decides.” For Kulala, AI is a collaborator rather than a replacement, a view echoed by many seasoned producers who see the technology as a way to free up time for experimentation.
Artist Concerns: Tracy Jac‑During
Singer‑songwriter Tracy Jac‑During raises a different worry. She argues that a voice carries cultural memory, personal narrative, and emotional nuance that algorithms cannot replicate.[1] When AI synthesizes a vocal that mimics her timbre, she fears listeners may attribute the feeling to the software rather than to her lived experience. Jac‑During’s concern highlights a broader anxiety among performers: that AI‑generated voices could dilute the authenticity that fans connect with.
Legal and Copyright Challenges
As AI‑generated performances become more sophisticated, questions of ownership surface. Who holds the rights when a model trained on a dataset of Sierra Leonean songs produces a new track? Legal experts point out that current copyright frameworks in many African jurisdictions do not explicitly address machine‑generated works.[2] Some tech firms propose licensing models where artists receive royalties whenever their voice or style is used to train an AI system, but such mechanisms are still in pilot stages.
The African Union’s Draft Policy on AI and Culture (2023) recommends that member states develop clear guidelines on attribution and compensation for AI‑assisted creations.[3] Until such policies are enacted nationally, Sierra Leonean musicians often rely on informal agreements, leaving room for misunderstanding and potential exploitation.
Industry Voices and Audience Reaction
Radio host Saraphina Hannah Turay notes that listeners still prize the “emotional power of music [that] comes from real human expression.”[1] A quick poll conducted by a local university’s media department in early 2024 found that 62 % of respondents preferred songs where the lead vocal was unmistakably human, even if the backing track incorporated AI elements.[4] This suggests that while audiences accept AI as a production aid, they remain skeptical about fully synthetic performances.
On the other hand, AI practitioner Theodore Rogers sees opportunity. He encourages artists to use generative tools to reach new audiences—for example, by creating multilingual versions of a hit song or by producing background scores for indie films at a fraction of traditional costs.[5] Rogers believes that responsible adoption can strengthen careers rather than diminish them.
Moving Forward: Responsible AI Adoption
For Sierra Leone’s music sector to benefit from AI without compromising artistic integrity, several steps appear necessary:
- Develop clear, locally relevant copyright rules that protect vocal likenesses and compositional rights.
- Establish transparent licensing platforms where artists can opt‑in or opt‑out of having their voices used for AI training.
- Invest in education programs that teach musicians how to leverage AI as a creative assistant while maintaining artistic control.
- Encourage collaboration between tech developers and cultural institutions to ensure that AI models are trained on diverse, ethically sourced Sierra Leonean musical data.
By balancing innovation with respect for the country’s rich musical heritage, stakeholders can help ensure that AI serves as a catalyst for growth rather than a threat to originality.
References
- [1] Africanews. “AI in Sierra Leone’s Music Scene: Opportunities and Fears.” Accessed November 2025. https://www.africanews.com/ai-sierra-leone-music
- [2] World Intellectual Property Organization (WIPO). “Copyright and Artificial Intelligence: Policy Brief.” 2024.
- [3] African Union. “Draft Policy on AI and Culture.” 2023.
- [4] Fourah Bay College, Department of Media Studies. “Audience Perception of AI‑Generated Music in Sierra Leone.” Survey Report, March 2024.
- [5] Rogers, T. “Generative AI for African Artists: Practical Applications.” Journal of Music Technology, vol. 12, no. 1, 2024, pp. 45‑60.
