IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/vzwyd.html
   My bibliography  Save this paper

The future(s) of unpaid work: How susceptible do experts from different backgrounds think the domestic sphere is to automation

Author

Listed:
  • Lehdonvirta, Vili
  • Shi, Lulu
  • Hertog, Ekaterina
  • Ohta, Yuji
  • Ohta, Yuji

Abstract

The “future of work” has emerged as a prominent area of future making. Regardless of how accurate predictions about automation turn out to be, they are influencing present-day policies. In this article we expand the debate to unpaid domestic work, which so far has been excluded. We report on a forecasting exercise in which 64 AI experts from the UK and Japan estimated how automatable are 17 housework and care work tasks. Unlike previous studies, we draw on sociological and feminist literature to understand how experts’ diverse backgrounds may shape their visions. On average the experts predict that 39 percent of the time spent on a domestic task is automatable within ten years. Japanese male experts are notably pessimistic about the potentials of domestic automation, a result we interpret through gender disparities in the Japanese household. Without dismissing the practice of forecasting entirely, we demonstrate how predictions are socially contingent.

Suggested Citation

  • Lehdonvirta, Vili & Shi, Lulu & Hertog, Ekaterina & Ohta, Yuji & Ohta, Yuji, 2022. "The future(s) of unpaid work: How susceptible do experts from different backgrounds think the domestic sphere is to automation," SocArXiv vzwyd, Center for Open Science.
  • Handle: RePEc:osf:socarx:vzwyd
    DOI: 10.31219/osf.io/vzwyd
    as

    Download full text from publisher

    File URL: https://osf.io/download/61efe7d69f195e06ac2e2d25/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/vzwyd?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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:socarx:vzwyd. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.