生成式人工智慧、數位自主性與傳播研究的未來

Generative AI, Digital Autonomy, and the Future of Communication Research

在本對話中，Hannes Cools博士從新聞學與傳播科學的視角，檢視生成式AI的興起。對話將ChatGPT置於新聞業技術變遷的長歷史脈絡中，探討生成式AI如何在速度、規模，以及對專業自主性與能動性的影響上，有別於早期技術。Cools博士反思新聞工作的性質如何改變、AI羞恥感的出現、批判性AI素養的重要性，以及研究快速演變技術所面臨的方法論挑戰。本對話也討論數位自主性、開源語言模型，以及新聞組織、大學與公共機構對大型科技公司基礎設施的依賴。與其將生成式AI視為威脅或解方，本討論強調傳播研究者有必要批判性地檢視這些技術如何被設計、採用、常態化與治理。最後，本對話強調傳播科學在生成式AI研究中所能扮演的角色：提供審慎且以證據為基礎的分析，並關注這些技術如何被設計、採用，以及如何整合進專業實作、制度性慣例與日常生活之中。

In this dialogue, Dr. Hannes Cools examines the rise of generative AI from the perspective of journalism and communication science. Situating ChatGPT within a longer history of technological change in journalism, the conversation explores how generative AI differs from earlier technologies in its speed, scale, and impact on professional autonomy and agency. Dr. Cools reflects on the changing nature of journalistic work, the emergence of AI shame, the importance of critical AI literacy, and the methodological challenges of studying rapidly evolving technologies. The dialogue also considers digital autonomy, open-source language models, and the dependency of news organizations, universities, and public institutions on Big Tech infrastructures. Rather than treating generative AI as either a threat or a solution, the discussion emphasizes the need for communication researchers to critically examine how these technologies are designed, adopted, normalized, and governed. It concludes by emphasizing the role of communication science in offering careful, evidence-based analysis of generative AI, with attention to how these technologies are designed, adopted, and integrated into professional practice, institutional routines, and our daily life.