IDEAS home Printed from https://ideas.repec.org/a/cxi/jcsit0/v3y2026i2id1088.html

Evaluating the Capacity of Artificial Intelligence to Replicate Human Emotional Expression

Author

Listed:
  • Rodoshi Paul

    (Muminunnisa Government Mohila College, Mymensingh)

Abstract

This essay discusses the ability of artificial intelligence (AI) to mimic human expression of emotions. Although AI systems have advanced greatly into replicating the external presentation of human emotions, including tone, facial expressions, and textual responses, they do not possess the inner knowledge, self-awareness, and personal experiences that motivate genuine human emotions. The paper explores the potential of technology and the ethical, social, and psychological implications of emotional simulations in AI, particularly in the sensitive areas of healthcare, education, and customer care. The study finds that AI has the potential to be an effective instrument in facilitating communication and accessibility, but it cannot substitute the rich, subjective experience of human emotion. There is a need to adopt a balanced approach to the use of AI so that it can be used responsibly and in a way that does not bring about any transparency and makes the users think that AI can truly feel or empathize.

Suggested Citation

  • Rodoshi Paul, 2026. "Evaluating the Capacity of Artificial Intelligence to Replicate Human Emotional Expression," Journal of Computer Science and Information Technology, Bluemark Publishers, vol. 3(2), pages 99-112, August.
  • Handle: RePEc:cxi:jcsit0:v:3:y:2026:i:2:id:1088
    DOI: 10.61424/jcsit.v3i2.1088
    as

    Download full text from publisher

    File URL: https://bluemarkpublishers.com/index.php/JCSIT/article/view/1088
    File Function: Abstract page
    Download Restriction: no

    File URL: https://bluemarkpublishers.com/index.php/JCSIT/article/download/1088/923
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.61424/jcsit.v3i2.1088?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

    ;
    ;
    ;
    ;
    ;

    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:cxi:jcsit0:v:3:y:2026:i:2:id:1088. 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: Editorial Team (email available below). General contact details of provider: https://bluemarkpublishers.com/index.php/JCSIT .

    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.