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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
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    References listed on IDEAS

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    1. Daniel Nettle & Elliott Johnson & Matthew Johnson & Rebecca Saxe, 2021. "Why has the COVID-19 pandemic increased support for Universal Basic Income?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
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