论生成式人工智能对视频生产的影响——以Sora文生视频模型为例  

The Impact of Generative Artificial Intelligence on Video Production:A Case Study of Sora Text-to-Video Model

作　　者：姜博 JIANG Bo(Taofen School of Journalism and Communication,East China University of Political Science and Law,Shanghai 201620,China)

机构地区：[1]华东政法大学韬奋新闻传播学院,上海201620

出　　处：《上海大学学报(社会科学版)》2025年第2期73-84,共12页Journal of Shanghai University(Social Sciences Edition)

基　　金：上海市哲学社会科学规划课题(2024EXW003)。

摘　　要：理解智能技术的最佳方式在于“从技而谈”。面对生成式人工智能技术在视频生产领域的深度嵌入,我们必须以开放的姿态拥抱智能化带来的启示。横空出世的Sora作为文生视频模型的最新代表,将生成式人工智能技术在文本、图像领域的影响延伸至视频行业。Sora在场景塑造、镜头组接、影像叙事层面为视频生产带来革新,通过释放算力和逻辑洞见,加速了视频化社会的发展进程。应对智能技术带来的变革,我们需要摒弃“AI失业论”,以数字共识迎接智能挑战,强化人机协同理念,发展新质生产力,增进产业合作,培育人才支撑,把握视频产业智能化发展的战略主动。The best way to understand intelligent technology is through a technical perspective.Faced with the deep integration of generative artificial intelligence(AI)technology in video production,we must embrace the insights brought by intelligence with an open mindset.The emergence of Sora as the latest representative of text-to-video models has extended the influence of generative AI technology from the realms of text and images to the video industry.Sora brings innovation to video production through scene creation,shot composition,and visual storytelling,accelerating the development of a“video-centric society”by leveraging computational power and logical insights.In response to the changes brought by intelligent technology,it is imperative to move beyond the notion of“AI-induced unemployment”and embrace digital consensus to address the challenges of intelligence.Strengthening human-machine collaboration,fostering new forms of productivity,enhancing industrial cooperation,and cultivating talent support are essential to maintain strategic initiative in the intelligent development of the video industry.

关 键 词：SORA 生成式人工智能 技术嵌入 视频生产 产业变革 

分 类 号：G202[文化科学—传播学]