Generative AI, Governance, and the Transformation of Academic Communication: A Conceptual Review from the Perspective of Political Economy of Communication Hasanuddin (a*) and Ace Sriati Rachman (b)
Hasanuddin (a*) Universitas Terbuka, Ace Sriati Rachman (b) Univeristas Terbuka,
Abstract
The rapid development of Generative Artificial Intelligence (GenAI) has transformed academic communication by changing how academic communities produce, access, and disseminate knowledge. This transformation offers opportunities to support learning innovation while raising concerns about transparency, accountability, and integrity in digital knowledge production. This article aims to examine the transformation of academic communication resulting from the use of Generative AI and its implications for university governance and social responsibility. This study employs a qualitative approach through a conceptual literature review of scholarly articles, policy documents, and reports from international organizations on AI in higher education. The analysis is based on the political economy of communication, particularly Mosco^s concept of structuration, to explain the changing relationships among AI platforms, universities, lecturers, and students in digital knowledge production. The analysis is further supported by the concept of AI Governance to examine governance principles for the responsible use of AI in higher education. The study argues that Generative AI is not merely a learning support tool but also reshapes academic communication by requiring clear governance, AI literacy, transparency, and institutional accountability. Effective AI governance is therefore essential to maintain academic integrity while encouraging innovation and social responsibility in higher education
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Topic: Strategic Communication in the Digital Sphere: Cultivating Civic Trust through Data-Driven Approaches (Digital Communication- Public Communication Strategy- Civic Trust)
