理论语法与机器审美:生成式人工智能参与影视艺术研究的核心挑战Theoretical Grammar and Machine Aesthetics: The Core Challenges of Generative Artificial Intelligence in Film and Television Art Studies
梁君健,李云帆
摘要(Abstract):
生成式人工智能是否能在影视艺术研究领域生成符合研究规范的学术论文?作为一个探索性的研究,通过系统的对话交互过程,本研究对大语言模型ChatGPT-5进行影视艺术的理论训练,要求其针对两项研究任务完成两篇学术论文,并将这两篇论文与同题材的真人已发表论文进行对比。研究发现,大语言模型生成文本面临理论的逻辑一致性与创新性缺失等“理论语法”问题;同时由于经验性审美判断的缺乏,大语言模型生成的论文也表现出“机器审美”的幻象。总体来看,相比大语言模型,人类研究者在理论建构和审美经验等方面仍然具有不可替代性,但随着具身智能、社会智能与世界建模的成熟,人类研究者的上述优势有可能逐渐消失。
关键词(KeyWords): 生成式人工智能;影视艺术研究;“理论语法”;机器审美
基金项目(Foundation):
作者(Author): 梁君健,李云帆
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