IDEAS home Printed from https://ideas.repec.org/p/zbw/iudpda/338117.html

Zwischen Kreativität und Recht: Herausforderungen des Urheberrechts bei KI-generierten Bildern

Author

Listed:
  • Kraußer, Vanessa
  • Perst, Florian
  • Schubart, Constantin
  • Veichtlbauer, Maximilian

Abstract

Artificial intelligence (AI) has long since arrived in the world of work, including in the field of media design. This work focusses on AI-generated images and examines copyright challenges in this context. It becomes clear that not only the generated images should be considered, but that AI training data and user input also play a significant role. The aim of the work is to provide an overview of the laws and regulations currently in force in Germany. The empirical study carried out confirms that most employees in the field of media design use AI image generators, but at the same time also reveals uncertainties regarding the legal situation in this subject area. Recom- mendations for dealing with AI-generated images are therefore formulated on the basis of the analysis of applicable laws and other regulations. In addition, various approaches to solving the copyright problems associated with the use of AI-generated works are discussed. To summarise, it can be said that the current copyright law can only be applied to modern technologies to a limited extent.

Suggested Citation

  • Kraußer, Vanessa & Perst, Florian & Schubart, Constantin & Veichtlbauer, Maximilian, 2026. "Zwischen Kreativität und Recht: Herausforderungen des Urheberrechts bei KI-generierten Bildern," IU Discussion Papers – Design, Architektur & Bau 1 (März 2026), IU International University of Applied Sciences.
  • Handle: RePEc:zbw:iudpda:338117
    DOI: 10.56250/4104
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/338117/1/1965180779.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.56250/4104?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

    ;
    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:iudpda:338117. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.iu.de/forschung/ .

    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.