Towards trustworthy management of AIGC copyright: blockchain-enabled full lifecycle recording and multi-party auditing approach
Jiajia Jiang, Moting Su, Fengshu Li, Xiangli Xiao, Yushu Zhang

TL;DR
This paper presents AIGC-Chain, a blockchain-based system for comprehensive recording and multi-party auditing of AI-generated content's full lifecycle to ensure trustworthy copyright management.
Contribution
It introduces a novel blockchain-enabled approach that records intermediate data throughout AIGC's lifecycle, addressing limitations of existing solutions.
Findings
The scheme effectively records full lifecycle data of AIGC.
It enables secure multi-party auditing and copyright verification.
Experimental results confirm high performance and security.
Abstract
With the escalating proliferation of artificial intelligence technologies, AI-generated content (AIGC) has progressively permeated across diverse domains. However, this explosive application has also sparked widespread public discussion about the copyright of AIGC. Existing copyright legal frameworks, originally designed around human creators, now face a paradigm shift. As human involvement in the generation of AIGC diminishes, where creative expression increasingly hinges on AI. This discrepancy has introduced multifaceted complexities and challenges in determining the copyright ownership of AIGC within established legal boundaries. Given this, meticulous recording and auditing of contributions from all parties in AIGC generation becomes imperative. Blockchain, with its decentralized storage, offers a robust technical foundation for AIGC copyright management. Yet existing…
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