IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v44y2025i5p888-911.html
   My bibliography  Save this article

Youth perspectives on technology ethics: analysis of teens’ ethical reflections on AI in learning activities

Author

Listed:
  • Eva Durall Gazulla
  • Noora Hirvonen
  • Sumita Sharma
  • Heidi Hartikainen
  • Ville Jylhä
  • Netta Iivari
  • Marianne Kinnula
  • Aizhan Baizhanova

Abstract

The integration of AI technologies in all domains of life raises ethical debates. Children and young people are not exempt from these discussions since AI is also an increasing part of their lives. This study explores teenagers’ (aged 13 to 16 years) views on AI with a focus on ethical thinking. This is a retrospective empirical study in which data from three cases involving young people in technology learning activities have been analysed to answer the following research questions: (i) What ethical challenges around AI do young people reflect upon and (ii) what ethical dimensions do these reflections connect to? We have adapted an existing framework outlining dimensions of ethical thinking to identify young people’s ethical reflections on AI in various learning activities. Our findings show how young people reflect on AI ethics, even without dedicated teaching on it and are able to consider various dimensions and make connections to everyday uses of AI raising ethical issues. Based on our findings, we advocate for an integrated approach of AI and ethics in learning activities about technology. We believe the framework presented in this study can be a valuable tool to inform further research and practice.

Suggested Citation

  • Eva Durall Gazulla & Noora Hirvonen & Sumita Sharma & Heidi Hartikainen & Ville Jylhä & Netta Iivari & Marianne Kinnula & Aizhan Baizhanova, 2025. "Youth perspectives on technology ethics: analysis of teens’ ethical reflections on AI in learning activities," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(5), pages 888-911, March.
    • Handle: RePEc:taf:tbitxx:v:44:y:2025:i:5:p:888-911
    DOI: 10.1080/0144929X.2024.2350666
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2024.2350666
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0144929X.2024.2350666?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:tbitxx:v:44:y:2025:i:5:p:888-911. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.