  As artificial intelligence technology becomes increasingly prevalent,
Artificial Intelligence Generated Content (AIGC) is being adopted across
various sectors. Although AIGC is playing an increasingly significant role in
business and culture, questions surrounding its copyright have sparked
widespread debate. The current legal framework for copyright and intellectual
property is grounded in the concept of human authorship, but in the creation of
AIGC, human creators primarily provide conceptual ideas, with AI independently
responsible for the expressive elements. This disconnect creates complexity and
difficulty in determining copyright ownership under existing laws.
Consequently, it is imperative to reassess the intellectual contributions of
all parties involved in the creation of AIGC to ensure a fair allocation of
copyright ownership. To address this challenge, we introduce AIGC-Chain, a
blockchain-enabled full lifecycle recording system designed to manage the
copyright of AIGC products. It is engineered to meticulously document the
entire lifecycle of AIGC products, providing a transparent and dependable
platform for copyright management. Furthermore, we propose a copyright tracing
method based on an Indistinguishable Bloom Filter, named IBFT, which enhances
the efficiency of blockchain transaction queries and significantly reduces the
risk of fraudulent copyright claims for AIGC products. In this way, auditors
can analyze the copyright of AIGC products by reviewing all relevant
information retrieved from the blockchain.
