Abstrakti
Unpaid domestic work is vital for human reproduction and enables all other forms of work. In this article, we present first estimates of the impacts of “smart” and “AI” technologies on unpaid work. We ask what the likelihood is of various types of unpaid work being automated, and how this would change the time spent on domestic work and on the gendered division of labour. We adapt three automation likelihood estimates for paid work occupations to estimate the automation likelihood of 19 domestic work tasks. Applying these estimates to Japanese and UK national time use data, we find that 50–60 % of the total time spent on unpaid work could be saved through automation. The savings are unevenly distributed: a Japanese woman aged 20–59 could save up to 3.5 h, a UK woman of the same age could save up to 3 h on an average weekday. A man in the UK could save 1.5 h and a Japanese man only 1 h on an average weekday. Domestic automation could free up to 9.3 % of women in Japan and 5.8 % of women in the UK to take up full- or part-time employment, pointing to substantial potential economic and social gains.
| Alkuperäiskieli | Englanti |
|---|---|
| Artikkeli | 122443 |
| Julkaisu | Technological Forecasting & Social Change |
| Vuosikerta | 191 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2023 |
| OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
This research was supported by a UK-Japan collaborative grant jointly awarded by UK Research and Innovation (grant number ES/T007265/1; PI Ekaterina Hertog) and by the Research Institute of Science and Technology for Society (RISTEX) of the Japan Science and Technology Agency (grant number JPMJRX19H4; PI Nobuko Nagase). This project also benefited from funding from the European Union's Horizon 2020 research and innovation programme under the European Research Council Consolidator Grant agreement No 771736. This research was supported by a UK-Japan collaborative grant jointly awarded by UK Research and Innovation (grant number ES/T007265/1 ; PI Ekaterina Hertog) and by the Research Institute of Science and Technology for Society (RISTEX) of the Japan Science and Technology Agency (grant number JPMJRX19H4 ; PI Nobuko Nagase). This project also benefited from funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 681546 (FAMSIZEMATTERS) and grant agreement No 771736 (GENTIME). The funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
YK:n kestävän kehityksen tavoitteet
Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:
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SDG 5 – Sukupuolten tasa-arvo
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SDG 10 – Vähentynyt eriarvoisuus
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