上海视觉

上海视觉 ›› 2026, Vol. 0 ›› Issue (1): 143-149.

• 新锐观点 • 上一篇    下一篇

生成式人工智能赋能电视内容生产的价值审视与发展策略

李雨昊1,2, 高迎刚1,2   

  1. 1.山东财经大学济南 250014
    2.山东大学济南 250100
  • 出版日期:2026-01-20 发布日期:2026-03-30
  • 作者简介:李雨昊(1995— ),男,山东财经大学文学与新闻传播学院讲师。研究方向为电视研究、艺术管理、文化产业。
    高迎刚(1972— ),男,山东大学博士,山东大学艺术学院教授、博士生导师,山东大学公共文化研究中心主任。研究方向为艺术美学、艺术批评。
  • 基金资助:
    2023年国家社会科学基金艺术学重大项目“中华文明精神标识的艺术呈现与传播研究”(23ZD02)

Value Examination and Development Strategy of Generative AI-Empowered TV Content Production

LI Yuhao1,2, GAO Yinggang1,2   

  • Online:2026-01-20 Published:2026-03-30

摘要:

生成式人工智能技术正在成为电视内容生产新焦点。该技术赋能电视内容生产的价值在于多模态信息的足量生成与足质应用、电视内容产业“微笑曲线”的整体抬升与产值增值、叙事样态的多样化与理念世界的视觉化,而其潜在风险为生成运用下内容与视觉形式的实际应用失效、产业化应用中创意版权侵权与价值信息泄露、技术解构后内容生产人文性失位与人的主体性价值弱化。因此,需强调人类逻辑引领技术创新生产、实施技术与内容信息的人为监管、形成“人为主导,技术主体”的人机共治,从而完成电视内容和视觉形式的实质性提升,确保版权归属清晰与信息安全,以及实现内容生产人文性归位与人的主体性价值回归。

关键词: 生成式人工智能, 电视内容生产, 电视内容产业

Abstract:

Generative artificial intelligence (Gen-AI) is emerging as a new focal point in the production of TV content. The value of this technology lies in the efficient generation and quality application of multimodal information, the elevation and value enhancement of the industry’s “smile curve”, the diversification of narrative styles, and the visualization of conceptual worlds. However, its potential risks include practical application failures, copyright infringement, and information leakage in industrialized applications, as well as the erosion of humanity and weakening of human subjectivity in content production. Therefore, it is necessary to emphasize the priority of human logic in technological innovation, implement human supervision over technology and content, and form a human-machine co-governance model where “humans are the leading force and technology is the main body”. This approach will achieve substantial improvements in content and visual forms, ensure clear copyright ownership and information security, and facilitate the return of humanity and the restoration of human subjectivity in content production.

Key words: Generative Artificial Intelligence, TV Content Production, TV Content Industry