IDEAS home Printed from https://ideas.repec.org/a/ist/iujspc/y2023i85p199-213.html
   My bibliography  Save this article

Yapay Zekânın İstihdama Yönelik Etkileri: Bir Sosyal Politika Önlemi Olarak Evrensel Temel Gelir

Author

Listed:
  • Gökhan Murat

    (İstanbul Üniversitesi)

  • Belemir Şengül

    (Kırklareli Üniversitesi)

Abstract

Son 20 yılda yapay zekâ ve robot teknolojisinde yaşanan gelişmeler teknoloji ve emek arasında yer değişimi yaşanma ihtimalini ön plana çıkarmıştır. Yapay zekâ ve otonom robotların çalışma yaşamına daha fazla entegre olduğu görülürken, makinelerin üstlenmiş olduğu görevlerin paralel ölçüde arttığı görülmektedir. Emek faktörünün ise, çalışma yaşamındaki görevi ve ulusal gelirden aldığı pay azalmaktadır. Çalışmanın amacı, yapay zekâ ve otonom robotların gelişim sürecini ve istihdam üzerindeki etkisini incelemektir. Yapay zekâ ve otonom robotların istihdam üzerindeki muhtemel olumsuz etkilerinin çözümünde ise evrensel temel gelirin bir sosyal politika önlemi olarak uygulanabilirliği araştırılmıştır. Bu çerçevede evrensel temel gelirin gelişimi, avantajları ve itirazları incelenerek, sosyal politika aracı olarak öneminden bahsedilmiştir. Sonuç olarak yapay zekâ ve otonom robotların uzun vadede işleri dönüşüme zorlayacağı ve birçok işin yapay zekâya sahip robotlar tarafından yapılacağı saptanmıştır. Üretim ve tüketim dengesinin sağlanabilmesi, mal ve hizmetlere olan talebin artırılabilmesi için evrensel temel gelirin süreç içerisinde bir sosyal politika önlemi olarak küresel ölçekte yaygınlaşabileceği tespit edilmiştir.

Suggested Citation

  • Gökhan Murat & Belemir Şengül, 2023. "Yapay Zekânın İstihdama Yönelik Etkileri: Bir Sosyal Politika Önlemi Olarak Evrensel Temel Gelir," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, issue 85, pages 199-213, December.
  • Handle: RePEc:ist:iujspc:y:2023:i:85:p:199-213
    DOI: 10.26650/jspc.2023.85.1331159
    as

    Download full text from publisher

    File URL: https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/852F5BA9AF744702B49166960B7F40CD
    Download Restriction: no

    File URL: https://iupress.istanbul.edu.tr/en/journal/jspc/article/yapay-zekanin-istihdama-yonelik-etkileri-bir-sosyal-politika-onlemi-olarak-evrensel-temel-gelir
    Download Restriction: no

    File URL: https://libkey.io/10.26650/jspc.2023.85.1331159?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
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    3. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    4. Piotr Misztal, 2019. "Unconditional Basic Income as an Instrument for Reducing Income Inequalities. The Case of Poland," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(1), pages 63-79, March.
    5. Daniel Nettle & Elliott Johnson & Matthew Johnson & Rebecca Saxe, 2021. "Why has the COVID-19 pandemic increased support for Universal Basic Income?," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    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. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
    2. Judith Clifton & Amy Glasmeier & Mia Gray, 2020. "When machines think for us: the consequences for work and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 3-23.
    3. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
    4. Sholler, Dan & MacInnes, Ian, 2022. "The economic impact of AI on employment and income disparities," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265669, International Telecommunications Society (ITS).
    5. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    6. Uwe JIRJAHN & Stephen C. SMITH, 2018. "Nonunion Employee Representation: Theory And The German Experience With Mandated Works Councils," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 89(1), pages 201-233, March.
    7. Ufuk Akcigit & Sina T. Ates, 2023. "What Happened to US Business Dynamism?," Journal of Political Economy, University of Chicago Press, vol. 131(8), pages 2059-2124.
    8. World Bank, "undated". "Shifting Gears," World Bank Publications - Reports 36317, The World Bank Group.
    9. Lütkenhorst, Wilfried, 2018. "Creating wealth without labour? Emerging contours of a new techno-economic landscape," IDOS Discussion Papers 11/2018, German Institute of Development and Sustainability (IDOS).
    10. Carbonero, Francesco. & Ernst, Ekkehard & Weber, Enzo., 2018. "Robots worldwide the impact of automation on employment and trade," ILO Working Papers 995008793402676, International Labour Organization.
    11. Joshua Greenstein, 2020. "The Precariat Class Structure and Income Inequality among US Workers: 1980–2018," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(3), pages 447-469, September.
    12. Greg Howard & Carl Liebersohn, 2019. "What Explains U.S. House Prices? Regional Income Divergence," 2019 Meeting Papers 1054, Society for Economic Dynamics.
    13. Emin Dinlersoz & Zoltan Wolf, 2024. "Automation, labor share, and productivity: plant-level evidence from U.S. manufacturing," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(4), pages 604-626, May.
    14. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    15. Fabian Eckert & Andrés Gvirtz & Jack Liang & Michael Peters, 2020. "A Method to Construct Geographical Crosswalks with an Application to US Counties since 1790," NBER Working Papers 26770, National Bureau of Economic Research, Inc.
    16. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    17. Christian Dippel & Robert Gold & Stephan Heblich & Rodrigo Pinto, 2017. "Instrumental Variables and Causal Mechanisms: Unpacking the Effect of Trade on Workers and Voters," CESifo Working Paper Series 6816, CESifo.
    18. Wang, Jiaxin & Zhao, Mu & Huang, Xiang & Song, Zilong & Sun, Di, 2024. "Supply chain diffusion mechanisms for AI applications: A perspective on audit pricing," International Review of Financial Analysis, Elsevier, vol. 93(C).
    19. 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.
    20. Mr. Francesco Grigoli & Zsoka Koczan & Petia Topalova, 2018. "Drivers of Labor Force Participation in Advanced Economies: Macro and Micro Evidence," IMF Working Papers 2018/150, International Monetary Fund.

    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:ist:iujspc:y:2023:i:85:p:199-213. 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: Istanbul University Press Operational Team (Ertuğrul YAŞAR) (email available below). General contact details of provider: https://edirc.repec.org/data/ifisttr.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.