IDEAS home Printed from https://ideas.repec.org/p/zbw/iudpda/282998.html
   My bibliography  Save this paper

Leitfaden: Sieben Eckpunkte für deine KI-Kompetenz

Author

Listed:
  • Burbach, Jörg
  • Meyer, André
  • Plank, Marion
  • Trautzsch, Nadine

Abstract

Der vorliegende Leitfaden vermittelt in insgesamt 7 Punkten eine grundsätzliche KI-Kompetenz, mit der KI-Systeme souverän eingesetzt werden können. Der Leitfaden dient dazu, für den Umgang mit generierten Inhalten zu sensibilisieren und zugleich das Auge für mögliche Risiken zu schärfen. Der Leitfaden soll Schüler:innenn, Studierenden und Mitarbeitenden von Bildungseinrichtungen eine Handreichung sein, um ihre eigene KI-Kompetenz zu überprüfen und sie zu erweitern. Zugrunde liegen ihm eine 12-monatige empirische Forschung für die kreative Praxis, eine Medien- und Literaturrecherche, Inputs von Expert:innen sowie die Analyse gängiger Machine-Learning-Software ("KI-Tools") auf dem Markt. Die Recherche fand zwischen November 2022 und November 2023 statt und ist der erste Schritt im Forschungsprojekt "AI-KI-DO - KI-Systeme in der kreativen Praxis & Lehre". The present guide provides a basic AI competence in a total of 7 points, enabling the sovereign use of AI systems. The guide is intended to raise awareness for handling generated content and at the same time sharpen the eye for possible risks. It aims to assist students, learners, and staff of educational institutions in checking and expanding their own AI competence. It is based on a 12-month empirical research for creative practice, media and literature research, inputs from experts, and the analysis of common machine learning software ('AI tools') on the market. The research took place between November 2022 and November 2023 and is the first step in the research project "AI-KI-DO - AI Systems in Creative Practice & Teaching".

Suggested Citation

  • Burbach, Jörg & Meyer, André & Plank, Marion & Trautzsch, Nadine, 2024. "Leitfaden: Sieben Eckpunkte für deine KI-Kompetenz," IU Discussion Papers – Design, Architektur & Bau 2 (Februar 2024), IU International University of Applied Sciences.
    • Handle: RePEc:zbw:iudpda:282998
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/282998/1/1880411741.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Künstliche Intelligenz; KI; AI; Kompetenz;
    All these 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:282998. 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.