IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-142-5_37.html

Study on the Impact of Artificial Intelligence on Employment and Income Inequality, Based on Technological Determinism Theory

In: Proceedings of the 8th International Conference on Financial Innovation and Economic Development (ICFIED 2023)

Author

Listed:
  • Qiran Yue

    (Shanghai Ocean University)

Abstract

With the advent of the fourth industrial revolution, the rapid development of Chinese artificial intelligence industry has impacted the existing social stratification structure to some extent. This paper combs the impact of AI on employment and income inequality, mainly in the substitution and creation of employment, “emotional exploitation”, digital divide issues, and the confrontation between the code elite and the “cyber working class”. For the problems faced in the era of artificial intelligence, this paper deeply analyzes the human-machine relationship, employment and income inequality in the digital era, and puts forward a prospect based on the existing research on the impact of AI on employment.

Suggested Citation

  • Qiran Yue, 2023. "Study on the Impact of Artificial Intelligence on Employment and Income Inequality, Based on Technological Determinism Theory," Advances in Economics, Business and Management Research, in: Yushi Jiang & Guangming Li & Wilson Xinbao Li (ed.), Proceedings of the 8th International Conference on Financial Innovation and Economic Development (ICFIED 2023), pages 329-338, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-142-5_37
    DOI: 10.2991/978-94-6463-142-5_37
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-142-5_37. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.