Enforce Nigerian Music Copyright in the Age of AI-Generated Content

Afrobeats has a documented identity. An AI model trained on Burna Boy's catalogue can now generate new tracks that are commercially indistinguishable from his work to most listeners. These tracks circulate on streaming platforms, are used in commercial videos, and generate revenue that the original artist never sees. Nigerian music copyright law was not designed for this scenario, and no enforcement mechanism currently addresses it. Your challenge is to design a music copyright enforcement system for Nigerian artists that covers both traditional infringement (sampling without clearance, streaming without licensing) and AI-generated content that mimics a specific artist's style. The system must identify infringing content at scale across streaming platforms and social media, generate enforcement notices that streaming platforms are legally obligated to respond to, and do so at a cost structure that independent Nigerian artists can access. Submit a system design document (max 12 pages) including: the audio fingerprinting and AI-mimicry detection technology, the enforcement notice generation process, how streaming platform takedowns are handled, the legal framework for AI-style mimicry claims in Nigerian and international law, cost per artist per year, and a plan to protect 5,000 Nigerian artists within 18 months. Judging criteria: 40% technical detection methodology for both infringement types, 30% legal framework for AI mimicry, 20% cost model for independent artists, 10% artist onboarding plan.