重返沟通的本质:生成式人工智能的媒介哲学解读  

Returning to the Nature of Communication:Interpretation of Generative Artificial Intelligence from the Perspective of Media philosophy

作　　者：白龙 BAI Long

机构地区：[1]东莞理工学院文学与传媒学院,广东东莞523808 [2]南京师范大学新闻与传播学院媒介与危机管理研究所

出　　处：《学习与实践》2025年第1期131-140,共10页Study and Practice

基　　金：2023年度江苏省高校哲学社会科学研究一般项目“智能传播时代的媒介哲学思想创新与技术应用伦理风险研究”(项目编号:2023SJYB0637);国家社会科学基金重大招标项目“我国青少年网络舆情的大数据预警体系与引导机制研究”(项目编号:20&ZD012)。

摘　　要：数字交往的沟通概念长期被遮蔽,致使机器的数字沟通对等角色缺位。生成式人工智能以降,新技术使人机沟通对等关系显现,开启了传播新范式与问题域转向。机器深度学习提升了更高阶的沟通能力,使生成式人工智能重返沟通的本质。不过,人工智能的“中文屋”思想实验争议尚未解决,AI技术物在技术崇高的背后,潜藏着技术副作用和伦理风险。数字沟通朝向哈贝马斯的沟通行动理想发展,前景依然值得期待。The concept of digital interaction incommunication has long been obscured,resulting in the absence of digital communication equivalent roles of machines.Since the emergence of generative artificial intelligence,new technologies have created a manifestation of peer-to-peer communication between humans and machines,opening up a new paradigm of communication and a shift towards problem domains.Machine deep learning has enhanced higher-order communication skills,bringing generative artificial intelligence back to the essence of communication.However,the controversy surrounding the"Chinese House"thought experiment has not yet been resolved.Behind the technological sophistication of AI technology,there are hidden technical side effects and ethical risks.Moving towards Habermas'ideal of communication action,the future of digital communication is still worth looking forward to.

关 键 词：生成式人工智能 人机传播 数字交往 沟通 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]