Abstract
Copyright and AI are at the centre of intense debate. Generative AI (GenAI), trained on vast datasets that often include copyrighted works, has amplified concerns over fair compensation and proper attribution for creative rightsholders. Current approaches to data licensing for GenAI rely on ad hoc agreements with a small number of large dataset owners who have the resources to broker such deals. These models lack transparency, control, and inclusivity in a modern creative economy where content production and consumption are increasingly decentralized. To address these challenges, we present a decentralized platform built on the Content ARCs (Authenticity, Rights, Compensation) framework to enable creators to manage provenance, licensing, and monetisation of their media assets on distributed ledgers using open standards such as C2PA and Open Digital Rights Language (ODRL).