IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v12y2022i2p70-d792371.html
   My bibliography  Save this article

Are Translators Afraid of Artificial Intelligence?

Author

Listed:
  • Vassil Kirov

    (Institute of Philosophy and Sociology, Bulgarian Academy of Sciences, 13A Moskovska Str., 1000 Sofia, Bulgaria)

  • Bagryan Malamin

    (Institute of Philosophy and Sociology, Bulgarian Academy of Sciences, 13A Moskovska Str., 1000 Sofia, Bulgaria)

Abstract

Artificial intelligence (AI) is a leading technology in the digital transformation. AI is expected to cause job losses in general, initially in professions associated with routine activities, and subsequently in the field of creative professions. The present article analysed the results of the authors’ own empirical sociological survey of the attitude of Bulgarian translators towards AI, and the ways in which it will change their profession. Most of them perceive artificial intelligence and automatization as threats to the profession. According to them, digital technologies and AI will modify the profession by relieving human translators of the routine, technical part of the job. Hence, translators will predominantly edit machine-translated texts, and teach artificial intelligence to perform machine translation. The conclusion of the analysis demonstrates that, in the case of Bulgarian translators, such pessimistic scenarios about mass jobs destruction are not justified. In addition, expectations of a deterioration in quality of work as a result of digitalization in the near future are not justified in the case of the translating profession. The present survey results serve as a basis for further research about the impact of artificial intelligence on other creative professions.

Suggested Citation

  • Vassil Kirov & Bagryan Malamin, 2022. "Are Translators Afraid of Artificial Intelligence?," Societies, MDPI, vol. 12(2), pages 1-14, April.
  • Handle: RePEc:gam:jsoctx:v:12:y:2022:i:2:p:70-:d:792371
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/12/2/70/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2075-4698/12/2/70/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    2. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    2. Yang Shen & Xiuwu Zhang, 2024. "The impact of artificial intelligence on employment: the role of virtual agglomeration," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    3. Xinjie Deng & Zhonggen Yu, 2022. "A Systematic Review of Machine-Translation-Assisted Language Learning for Sustainable Education," Sustainability, MDPI, vol. 14(13), pages 1-15, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    2. Gries, Thomas & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," IZA Discussion Papers 13606, Institute of Labor Economics (IZA).
    3. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    5. Fernández-Macías, Enrique & Klenert, David & Antón, José-Ignacio, 2021. "Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 76-89.
    6. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    7. Dauth, Wolfgang, 2014. "Job polarization on local labor markets," IAB-Discussion Paper 201418, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Kerstin Hötte & Angelos Theodorakopoulos & Pantelis Koutroumpis, 2024. "Automation and taxation," Oxford Economic Papers, Oxford University Press, vol. 76(4), pages 945-969.
      • Kerstin Hotte & Angelos Theodorakopoulos & Pantelis Koutroumpis, 2021. "Automation and Taxation," Papers 2103.04111, arXiv.org, revised Apr 2022.
    9. Naude, Wim, 2019. "The race against the robots and the fallacy of the giant cheesecake: Immediate and imagined impacts of artificial intelligence," MERIT Working Papers 2019-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    11. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, Institute of Labor Economics (IZA).
    12. Martin Labaj & Materj Vitalos, 2019. "Automation and labor demand in European countries: A task-based approach to wage bill decomposition," Department of Economic Policy Working Paper Series 021, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    13. Lordan, Grace & Stringer, Eliza-Jane, 2022. "People versus machines: The impact of being in an automatable job on Australian worker’s mental health and life satisfaction," Economics & Human Biology, Elsevier, vol. 46(C).
    14. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    15. Kovács, Olivér, 2017. "Az ipar 4.0 komplexitása - II [The Complexity of Industry 4.0 - Part 2]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 970-987.
    16. Zhang, Xinchun & Sun, Murong & Liu, Jianxu & Xu, Aijia, 2024. "The nexus between industrial robot and employment in China: The effects of technology substitution and technology creation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    17. Guimarães, Luís & Mazeda Gil, Pedro, 2022. "Looking ahead at the effects of automation in an economy with matching frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    18. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," MERIT Working Papers 2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Azio Barani, 2021. "Innovazione tecnologica e lavoro: automazione, occupazione e impatti socio-economici," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 0(114), pages 51-79.
    20. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).

    More about this item

    Keywords

    AI; translators; creativity; jobs;
    All these 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:gam:jsoctx:v:12:y:2022:i:2:p:70-:d:792371. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.