Risk Prevention and Control and Value Realization Path of Enterprise Operation Based on Blockchain Technology under AI Generated Music Copyright Confirmation Mechanism

Abstract

The rapid development of artificial intelligence technology has promoted significant changes in the field of music creation, and AI-generated music has commercial-grade creative ability, but there is still a legal gap in its copyright attribution. This study constructs a risk assessment model of enterprise operation under the copyright confirmation mechanism of AI-generated music, determines the weights of the indicators by combining the hierarchical analysis method and entropy weighting method, and applies the fuzzy comprehensive evaluation method to assess the risk level. By distributing 500 questionnaires and obtaining 100 valid questionnaires, a risk identification system containing five primary indicators and 20 secondary indicators for technology, law, society, company and external environment was constructed. The study investigated 200 cases of enterprise operation risk in the copyright confirmation mechanism of AI-generated music, with objective data ranging from 60 to 100. The results showed that the objective weight distribution range of the second-level indicators was 0.0231-0.0895, and the weight distribution range of the first-level indicators was 0.1415-0.2813, and the final risk evaluation level was medium risk. Based on the evaluation results, an operational risk control mechanism and value realization path based on blockchain technology are proposed, including four aspects of copyright registration, copyright trading, music authorization, and usage tracking, providing a complete solution for AI-generated music copyright confirmation.