AI驱动的音乐评价变革:技术路径、伦理风险与跨文化治理OACHSSCD

The application of AI technology in the field of music evaluation has attracted more and more attention,and it has shown obvious advantages in improving the objectivity,standardization and efficiency of music evaluation.AI constructs a music quantitative analysis framework by extracting features such as pitch,rhythm and harmony,and combines heuristic evaluation and data-driven evaluation to realize multi-dimensional automatic evaluation of music creation quality,performance quality and innovation.However,this technology still faces many challenges in practical applications,including the lack of generalization ability of the evaluation model,the cultural bias of the training data and the difficulty of data acquisition.At the same time,the rapid development of AI music evaluation has also triggered ethical disputes such as algorithmic transparency,cultural prejudice and aesthetic discourse power.On the basis of building an open and pluralistic music data ecology,the future development path should focus on the balance between technical instrumentality and aesthetic subjectivity,integrate algorithmic calculation with human aesthetic judgment through the ethical governance framework of human-computer cooperation,and realize the fairness of evaluation by the hierarchical structure of multicultural evaluation criteria.Finally,we will promote the formation of a robust,credible and sustainable intelligent evaluation system.