Blockchain-Based AI-Generated Content (AIGC) Zero-Knowledge Dataset Regulation System: Introducing a Novel System
Jiaxiang Sun, Rong Zhao, Lehao Lin, Yuanfang Chi, Victor C. M. Leung, Wei Cai · IEEE Systems Man and Cybernetics Magazine · 2025
The popularity of artificial intelligence (AI)-generated content (AIGC) has experienced significant growth recently. Despite AIGC’s potential to transform content creation in various industries, its dependence on extensive computational resources poses a challenge for widespread adoption. To address this challenge, AIGC as a service has been proposed. However, concerns related to dataset compliance have emerged as a source of apprehension among stakeholders. The complexities associated with manual supervision, apprehensions regarding data leakage, and the potential for malicious behavior by third-party supervisors collectively present formidable challenges in the regulation of datasets within the domain of AIGC service. To tackle these challenges, this article presents a blockchain-based system for regulating AIGC datasets. Our proposed system employs AI, zero-knowledge proofs, and smart contracts as integral components for overseeing dataset compliance. To assess the feasibility and effectiveness of the proposed system, a comprehensive analysis and a series of simulations have been conducted. These evaluations offer valuable insights into the system’s security, privacy, and performance.