Scalable Blockchain Oracle for AIGC Services

Abstract

AI-generated content (AIGC) gained immense popularity across various domains, retrieving valuable training data by using free APIs (Application Programming Interfaces) from various applications and utilizing AI techniques to generate content automatically. However, concerns have been raised regarding unfair payment for the utilization of valuable training data between data owners and AIGC services providers (ASPs). Blockchain oracle can establish trust between them and bridge on-chain and off-chain training data trading. However, the integration of blockchain and AIGC services is challenged by the scalability of oracle consensus. It is essential not only to support a high volume of data requests from ASPs but also to ensure timely and accurate training data responses. To solve the above issues, we first propose an API-based decentralized AIGC data sharing framework and introduce a blockchain oracle to help ASPs retrieve training data from off-chain data owners. We then design flooding-based oracle consensus protocols to achieve scalable and efficient interactions between AIGC and data owners. Theoretical analysis and simulation results demonstrate that the proposed mechanism can significantly reduce communication overheads.