AIGC介入新媒体短片创作的人机协同机制及实践路径

Human-AI Collaboration Mechanisms and Practical Paths in AIGC-Assisted New Media Short Video Creation

摘要: 人工智能生成内容(AIGC)技术在新媒体短片创作领域的应用正引发创作方式、生产效率与内容形态的深刻变革。本文基于人机协同理论，结合《灵探》微短剧、快手“可灵AI”导演短片计划等实际案例，系统分析了AIGC技术在新媒体短片创作中的应用现状。案例分析表明，AIGC已经进入剧本拆解、画面生成、素材整理与后期制作等多个环节，但其实际成效仍取决于创作者的筛选、修改和审核。针对版权与伦理风险，本文从人机协同视角提出任务分工、迭代反馈、人工决策与责任追溯四个分析维度，并建议通过规范创作流程和保留过程证据提高技术应用的可控性。

Abstract: The application of Artificial Intelligence Generated Content (AIGC) technology in the field of new media short video creation is triggering profound changes in creation methods, production efficiency and content forms. Based on the human-AI collaboration theory, this paper combines practical cases such as the micro-short drama Spirit Detective and Kuaishou’s “Keling AI” director short video program to systematically analyze the current application status of AIGC technology in new media short video creation. Case analysis shows that AIGC has been involved in multiple links including script decomposition, picture generation, material sorting and post-production, but its actual effectiveness depends on creators’ screening, revision and review. In response to copyright and ethical risks, this paper puts forward four analytical dimensions from the perspective of human-machine collaboration: task division of labor, iterative feedback, manual decision-making and accountability tracing. It also proposes suggestions to improve the controllability of technology application by standardizing creation procedures and retaining process evidence.