Artificial Intelligence and the Future of Media Education: Reshaping Curriculum for Emerging Technologies
DOI:
https://doi.org/10.58216/kjri.v2025i1.658Keywords:
AI-Integrated Media Education, Algorithmic Ethics, Interdisciplinary Collaboration, Misinformation and Deepfake Regulation, Professional Readiness in AI-Powered JournalismAbstract
Artificial Intelligence (AI) is rapidly reshaping the landscape of media education, compelling institutions to rethink curricula, pedagogical strategies, and professional training models. This paper critically examines the transformative role of AI in journalism and communication studies, focusing on its implications for content creation, media ethics, and workforce preparedness. It is guided by three research questions: (1) How is AI redefining media education to meet emerging technological demands? (2) What ethical considerations must be embedded in AI-assisted journalism training? (3) How can higher education institutions balance AI innovation with foundational media competencies? Drawing on an extensive literature review, empirical case studies, and expert perspectives, the study evaluates current AI applications in media education. It identifies key challenges, including algorithmic bias, misinformation, editorial opacity, and the marginalisation of human creativity. It highlights critical gaps in curriculum modernisation, ethical governance, interdisciplinary collaboration, and industry alignment. The findings underscore the urgency of integrating AI literacy, ethical reasoning, and hands-on training into media programs. Case studies from The New York Times AI Lab, Google’s Journalism AI Initiative, and Stanford University’s AI and Media Program illustrate best practices in curriculum innovation and institutional adaptation. The paper recommends the development of AI-focused courses, cross-disciplinary partnerships, and regulatory frameworks to ensure the responsible implementation of AI in journalism education. Ultimately, the study argues that preparing future media professionals for an AI-driven ecosystem requires more than technical proficiency; it demands a holistic, ethically grounded, and future-facing approach to media education. By bridging the gap between innovation and integrity, universities can cultivate a generation of communicators equipped to navigate the promises and perils of AI-powered journalism.
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Copyright (c) 2026 Dr. Michael Ndonye

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