How AIGC Empowers Broadcasting and Television

Many broadcasting stations and media organizations have established artificial intelligence studios, such as the China Central Radio and Television, Shanghai Broadcasting Station, etc. These studios aim to promote the innovative application of AIGC technology in the media field, focusing on six key areas, including AI models exclusive to financial media and applications of news information models.

Multiple media organizations have begun collaborating with professional technology companies and social innovation alliances for the development of AIGC technology applications. The AI Integrated Media Innovation Laboratory of Beijing Broadcasting focuses on content generation and intelligent assistant development to promote the advancement of content production. Weishi China is negotiating with the innovation alliance to establish a dedicated AI audiovisual channel.

For instance, before this article was completed, several mainstream and local media platforms collaborated with AIGCxChina and children to complete the project “June 1 AIMV·What Kind of Future”, involving young warriors bravely fighting serious illnesses, colorful autistic children, and lovely kids from Gaza… Additionally, the AIGC series of public service advertisements “AI for Good” and an interactive digital sign language translation project based on a sign language model have combined AIGC technology with public welfare scenarios to serve the hearing-impaired community.

For example, Shanghai Broadcasting Station has launched the AIGC application integration product Scube Smart Media Cube, empowering news editing and broadcasting, showcasing cutting-edge technology applications.

The broadcasting industry possesses a wealth of high-quality audio and video data, user behavior data, and content metadata, providing valuable resources for AI model training and optimization. Faced with massive content, AI can offer comprehensive content review products to improve the efficiency of media content review and reduce the risk of missing manual reviews. Based on these two points, some investment institutions under broadcasting are considering actively entering the AIGC industry.

Intelligent tagging technology is widely used in news reporting, sports events, and the production and dissemination of TV series and films, helping media professionals quickly extract important information from a large volume of reports, facilitating the writing of news articles, and enabling the timely release of hot topics, thus improving production and dissemination efficiency.

AI technology has a rich application scenario in the broadcasting field, covering every aspect of the “planning, collection, editing, broadcasting, storage, and distribution” process, such as material retrieval, shooting processes, content production, intelligent post-production, and content distribution.

The broadcasting industry, with its unique media licensing and numerous supportive application scenarios, collaborates with tech experts, innovation alliances, and tech companies to promote the application of AIGC technology in the broadcasting industry.