Ethical Failures of Generative AI in News Production, Implications and Countermeasures

Authors

  • Siqi Xie

DOI:

https://doi.org/10.54097/jz8nj770

Keywords:

Journalism Ethics, Artificial Intelligence, Data and Algorithms

Abstract

Generative AI is recognized by the media (people) for its high-quality dialogue, complex reasoning and other emergent capabilities in content generation, and human-machine collaboration will gradually become the norm in news production, with application advantages in news production, news distribution and other news survival links. While generative AI assists news production and promotes innovation in news reporting, it also has problems such as providing inaccurate facts, opaque algorithms, and controversial boundaries of application, etc. For this reason, the media should regulate the ethics of human-computer collaboration in terms of optimizing the editing process, disclosing information about algorithms, and setting the boundaries of application of machines.

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Published

29-07-2024

Issue

Section

Articles

How to Cite

Xie, S. (2024). Ethical Failures of Generative AI in News Production, Implications and Countermeasures. Academic Journal of Management and Social Sciences, 8(1), 119-123. https://doi.org/10.54097/jz8nj770