Trustworthy AIGC Copyright Management with Full Lifecycle Recording and Multi-party Supervision in Blockchain
Jiajia Jiang, Moting Su, Fengshu Li, Xiangli Xiao, Yushu Zhang
TL;DR
The paper tackles the challenge of determining and proving copyright ownership for AIGC by recording the full lifecycle data of AIGC products on a consortium blockchain (AIGC‑Chain) and enabling decentralized, multi‑party supervision. It introduces a privacy‑preserving copyright tracing mechanism, CTrace, based on an Indistinguishable Bloom Filter to efficiently verify related transactions while safeguarding sensitive inputs, and defines an eight‑attribute world state to maintain lifecycle provenance. Theoretical results establish data authenticity, non‑forgeability, auditor fairness, and feasible Bloom Filter parameters ($m=288$, $k=10$, $P_{fp}\le 0.1\%$ for $n\le 20$), while a private Ethereum testbed demonstrates practical performance, including high initial gas costs for creation transactions yet low verification costs and constant‑time querying. Overall, the framework provides a scalable, verifiable foundation for fair AIGC copyright management, with potential to reduce disputes and improve trust in AI‑generated creative ecosystems.
Abstract
As artificial intelligence technology becomes increasingly widespread, AI-generated content (AIGC) is gradually penetrating into many fields. Although AIGC plays an increasingly prominent role in business and cultural communication, the issue of copyright has also triggered widespread social discussion. The current legal system for copyright is built around human creators, yet in the realm of AIGC, the role of humans in content creation has diminished, with the creative expression primarily reliant on artificial intelligence. This discrepancy has led to numerous complexities and challenges in determining the copyright ownership of AIGC within the established legal boundaries. In view of this, it is necessary to meticulously record contributions of all entities involved in the generation of AIGC to achieve a fair distribution of copyright. For this purpose, this study thoroughly records the intermediate data generated throughout the full lifecycle of AIGC and deposits them into a decentralized blockchain system for secure multi-party supervision, thereby constructing a trustworthy AIGC copyright management system. In the event of copyright disputes, auditors can retrieve valuable proof from the blockchain, accurately defining the copyright ownership of AIGC products. Both theoretical and experimental analyses confirm that this scheme shows exceptional performance and security in the management of AIGC copyrights.