Abstract
Artificial intelligence (AI) is revolutionizing media and journalism, reshaping processes, content, and audience relationship. This editorial report discusses the opportunities and challenges AI brings to these industries raised by this collection of studies, emphasizing the importance of integrating ethical principles and human-centric approaches to its development. These articles examine how AI reshapes content creation, distribution, and audience interaction while addressing the ethical, political, and economic implications of its integration. Key contributions include discussions on the ethical challenges posed by AI—such as bias, transparency, and accountability—and the need for robust governance structures to foster trust and fairness in AI-driven media systems. A recurring theme in this issue is the AI divide, highlighting the disparity in access to AI technologies between the Global North and South. The special issue offers insights into how this divide exacerbates existing inequalities in media production and consumption. It also advocates for interdisciplinary approaches and collaborative efforts to ensure AI's benefits are equitably distributed across geographical and socio-economic contexts. By exploring both the opportunities and perils of AI adoption in media and news industries, this special issue serves as a comprehensive examination of the evolving relationship between AI, media, and society, offering pathways for responsible innovation and inclusive AI adoption worldwide.
| Original language | English |
|---|---|
| Pages (from-to) | 335-346 |
| Number of pages | 12 |
| Journal | Emerging Media |
| Volume | 2 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2024 |
Bibliographical note
Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- artificial intelligence
- responsible AI
- human AI
- media
- AI divide
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