IDEAS home Printed from https://ideas.repec.org/p/bis/bisblt/86.html
   My bibliography  Save this paper

Survey evidence on gen AI and households: job prospects amid trust concerns

Author

Listed:
  • Iñaki Aldasoro
  • Olivier Armantier
  • Sebastian Doerr
  • Leonardo Gambacorta
  • Tommaso Oliviero

Abstract

A representative survey shows that almost half of US households use generative artificial intelligence (gen AI) tools. The use of and knowledge about gen AI are significantly lower among women, the elderly and households with lower income or educational attainment. Respondents expect gen AI to bring more opportunities than risks for job prospects, especially among men and younger, more educated and higher-income households. Nonetheless, all groups trust gen AI less than humans, especially in the provision of financial and medical services. Survey participants express concern over the risks of data breaches and data abuse and overwhelmingly support the regulation of AI. Consistent with previous surveys, respondents trust government agencies and financial institutions more than big techs to safeguard their data.

Suggested Citation

  • Iñaki Aldasoro & Olivier Armantier & Sebastian Doerr & Leonardo Gambacorta & Tommaso Oliviero, 2024. "Survey evidence on gen AI and households: job prospects amid trust concerns," BIS Bulletins 86, Bank for International Settlements.
  • Handle: RePEc:bis:bisblt:86
    as

    Download full text from publisher

    File URL: https://www.bis.org/publ/bisbull86.pdf
    File Function: Full PDF document
    Download Restriction: no

    File URL: https://www.bis.org/publ/bisbull86.htm
    Download Restriction: no
    ---><---

    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:bis:bisblt:86. 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: Christian Beslmeisl (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

    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.