Analysis of AI-Based Intelligent Content Moderation Strategies in Radio and Television Engineering
In order to improve the efficiency and accuracy of the Artificial Intelligence (AI) content moderation system in radio and television engineering,and ensure the compliance of broadcast content,this article analyzes the challenges faced by the system in data annotation,multilingual and cultural adaptability,identification of emerging illegal content,and the balance between moderation efficiency and accuracy. A series of specific coping strategies are proposed. By implementing the above strategies,the performance and reliability of the AI moderation system can be significantly improved. Thus,it can better ensure the health and safety of broadcast content,meet the high requirements of modern radio and television engineering for efficiency and accuracy,and promote the wider application of AI technology in the field of content moderation.
radio and television engineeringArtificial Intelligence (AI)content moderation
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