Core Viewpoint - The media industry is experiencing an "AI saturation," leading to a backlash from readers against the overuse of AI-generated content, which is perceived as lacking creativity and emotional depth [3][6][12] Group 1: AI's Impact on Content Creation - AI writing assistants can generate complete news articles in minutes, but these articles often lack depth and are more like expanded outlines [4] - In visual design, AI tools produce homogenized visual works, diminishing the unique styles that different media outlets previously had [4] - AI-generated video content often suffers from poor logical flow and low-quality subtitles, negatively impacting viewer experience and media professionalism [4][9] Group 2: Reader Backlash - Readers express dissatisfaction with AI-generated content, feeling overwhelmed by the volume and questioning the authenticity of news [6] - The use of virtual anchors by media outlets has not resonated with audiences, as these anchors lack regional characteristics and emotional engagement [6][9] - The backlash is not against AI technology itself but against the low-quality, standardized content it produces, reflecting a disappointment in media's loss of originality [6][12] Group 3: Responsible AI Usage - The media industry needs to rethink its approach to AI, shifting from viewing it as a replacement to seeing it as an enabler [13] - Transparency and quality control should be prioritized, with clear labeling of AI-assisted content to build trust with audiences [14] - A balanced approach that combines AI generation with human oversight in areas like planning and emotional connection is essential for regaining audience trust [14]

Core Viewpoint - Artificial intelligence (AI) is a driving force behind a new round of technological revolution and industrial transformation, significantly enhancing cultural production and consumption in China [1] Group 1: AI's Role in Cultural Development - AI is increasingly integrated into various aspects of life, empowering industries and benefiting households, thus contributing to high-quality cultural development in China [1] - The Chinese government emphasizes the need to adapt to digital industrialization trends and enhance traditional cultural sectors through AI [1] Group 2: Enhancing Cultural Innovation - AI can democratize creativity, allowing non-professionals to engage in cultural creation through tools like AI drawing and music composition [1][2] - There is a need to improve cultural data resource sharing and develop a comprehensive cultural big data system to support the transformation and application of cultural data [2] Group 3: Improving Production Efficiency - AI enhances cultural innovation by reducing costs and time in content creation, allowing creators to focus on high-level tasks [3] - The integration of AI in content production provides diverse perspectives and insights, supporting innovation and quality control in cultural content [3] Group 4: Training and Talent Development - There is a call to improve AI literacy and skills among cultural industry professionals through educational reforms and interdisciplinary courses [3][4] - Training programs and international exchanges are essential to enhance the capabilities of cultural talent in the context of rapid AI development [4] Group 5: New Cultural Experiences - AI is driving the emergence of new cultural scenes, such as immersive performances and virtual exhibitions, transforming cultural consumption from one-way to interactive experiences [4][5] - The use of AI in cultural heritage projects fosters a deeper connection between audiences and historical artifacts, enhancing cultural pride and belonging [5] Group 6: Future Directions - There is a focus on leveraging AI to identify and present Chinese cultural elements, enhancing the integration and sharing of cultural resources [5] - The development of smart cultural institutions, such as libraries and museums, is crucial for meeting the evolving spiritual and cultural needs of the public [5]