IDEAS home Printed from https://ideas.repec.org/a/mhr/jinste/urndoi10.1628-jite-2024-0015.html
   My bibliography  Save this article

Health Implications on the Excessive Use of AI Chatbots

Author

Listed:
  • Hyojin Chin
  • Assem Zhunis
  • Wenchao Dong
  • Chiyoung Cha
  • Meeyoung Cha

Abstract

With technological advances, humans now communicate with machines as chat partners. This study reviews recent findings on the health implications of potential excessive use of AI chatbots. Based on the real human-machine conversations, we show what information people sought during the COVID-19 pandemic and identify the risks of relying on chatbots for medical advice. In particular, we found conversational chatbots such as ChatGPT can exacerbate the problem of disseminating misinformation and influencing people's opinions. We discuss guidelines for addressing the potential risks of excessive use of AI chatbots and the importance of establishing ethical frameworks to govern this new technology.

Suggested Citation

  • Hyojin Chin & Assem Zhunis & Wenchao Dong & Chiyoung Cha & Meeyoung Cha, 2024. "Health Implications on the Excessive Use of AI Chatbots," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 180(2), pages 347-365.
  • Handle: RePEc:mhr:jinste:urn:doi:10.1628/jite-2024-0015
    DOI: 10.1628/jite-2024-0015
    as

    Download full text from publisher

    File URL: https://www.mohrsiebeck.com/en/article/health-implications-on-the-excessive-use-of-ai-chatbots-101628jite-2024-0015
    Download Restriction: Fulltext access is included for subscribers to the printed version.

    File URL: https://libkey.io/10.1628/jite-2024-0015?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

    Keywords

    health; chatbots; large language model; AI regulation; ethical design;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

    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:mhr:jinste:urn:doi:10.1628/jite-2024-0015. 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: Thomas Wolpert (email available below). General contact details of provider: https://www.mohrsiebeck.com/jite .

    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.