IDEAS home Printed from https://ideas.repec.org/a/edt/jsserr/v10y2023i2p330-335.html
   My bibliography  Save this article

The ethics of Al-generated imagery in journalism

Author

Listed:
  • Dan Valeriu VOINEA

    (University of Craiova, Romania)

Abstract

The rapid advancement of generative artificial intelligence (AI) capable of producing highly realistic images presents profound ethical challenges for journalism. This paper examines the multifaceted ethical landscape surrounding Al-generated imagery in news contexts, synthesizing current scholarship and expert perspectives. It analyzes the significant risks posed by synthetic media, focusing on four key themes: the potential for Al-generated visuals to propagate misinformation and erode public trust; the direct challenges to journalistic integrity and traditional ethical codes demanding truth and accuracy; the complex dynamics of audience perception, media literacy, and trust in an era where distinguishing authentic visuals from fakes is increasingly difficult; and the development of policy recommendations and best practices for navigating this terrain. The paper highlights the urgent need for rigorous verification, clear labeling and disclosure, restricted use in factual reporting, updated internal policies, leveraging authentication technologies, and a continued commitment to core journalistic values to maintain credibility and public trust amidst the transformative impact of Al on visual information.

Suggested Citation

  • Dan Valeriu VOINEA, 2023. "The ethics of Al-generated imagery in journalism," Social Sciences and Education Research Review, Department of Communication, Journalism and Education Sciences, University of Craiova, vol. 10(2), pages 330-335, December.
    • Handle: RePEc:edt:jsserr:v:10:y:2023:i:2:p:330-335
    DOI: 10.5281/zenodo.15254301
    as

    Download full text from publisher

    File URL: https://sserr.ro/wp-content/uploads/2023/12/sserr-10-2-330-335.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.5281/zenodo.15254301?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Al-Generated Imagery; Journalism Ethics; Misinformation; Public Trust; Synthetic Media; Transparency;
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:edt:jsserr:v:10:y:2023:i:2:p:330-335. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dan Valeriu Voinea (email available below). General contact details of provider: http://cis01.central.ucv.ro/litere/cadr_juridic/departament_comunicare_jurnalism_stiinte_ale_educatiei/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.