The Ethical Risks of Generative AI News from the Perspective of Human-Machine Collaborative Narration

DOI

10.2991/978-2-38476-456-3_32How to use a DOI?

Keywords

Generative artificial intelligence; AI-generated journalism; Ethical risks in journalism

Abstract

This research focuses on the application of generative artificial intelligence (AI) in the field of journalism and the ethical risks it poses. Through literature review and content analysis, it systematically collates relevant research findings from both domestic and international sources over the past decade. The research reveals that generative AI is deeply involved in news production through three main pathways: “embedding within general-purpose tools,” “integration into intelligent platforms,” and “development of proprietary systems.” It serves not only as a non-core narrator, assisting in material collection, interview preparation, and content generation, but also elevates itself to a core narrator in data-intensive reporting fields such as finance, sports, and meteorology, thereby reshaping the network of news production relationships. However, lurking behind this technological empowerment are multiple ethical risks: endogenous risks including the erosion of news authenticity, weakened creativity, and value biases, as well as systemic risks such as digital trust crises, the expansion of platform power, and the deterioration of cross-cultural narrative ethics. The research proposes a governance framework of “synergy between technological safeguards and humanistic values,” advocating for the strengthening of content auditing through generative adversarial networks, the establishment of a “middle ground” narrative practice involving human-machine collaboration, and the improvement of value alignment mechanisms in technological development to achieve the reconstruction of journalistic ethical order. This research fills a gap in micro-level studies on generative AI as a new narrative subject and provides theoretical references for the technological governance of journalism in the intelligent era.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ming Sheng
PY  - 2025
DA  - 2025/08/25
TI  - The Ethical Risks of Generative AI News from the Perspective of Human-Machine Collaborative Narration
BT  - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025)
PB  - Atlantis Press
SP  - 268
EP  - 277
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-456-3_32
DO  - 10.2991/978-2-38476-456-3_32
ID  - Sheng2025
ER  -