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Yapay Zekâ ve Otomasyon Çağında Eşitlik ve Refah: Daron Acemoğlu’nun Görüşlerine Dayalı Bir İnceleme

Yıl 2024, Cilt: 3 Sayı: 2, 137 - 160, 28.11.2024

Öz

Yapay zekâ (YZ) ve otomasyonun hızla yaygınlaşmasının iş piyasası ve genel olarak toplum üzerinde önemli bir etkiye sahip olacağı açıktır. Bu geçiş döneminde, teknolojik ilerlemenin avantajlarının toplumdaki tüm bireyler arasında adil bir şekilde paylaşılmasını sağlamak büyük önem taşımaktadır. Bu çalışma, değerli ekonomist Daron Acemoğlu'nun YZ ve otomasyonun işgücü üzerindeki potansiyel etkilerine ilişkin perspektiflerini incelemektedir. Acemoğlu'na göre, YZ’nin işgücü piyasası üzerindeki etkileri, tarih boyunca teknolojik ilerlemenin sonuçlarına benzer olacaktır. Otomasyon ilerlemeye devam ettikçe, belirli işler aşamalı olarak ortadan kalkabilir, ancak yeni fırsatlar da ortaya çıkacaktır. Ek eşitsizlikleri önlemek ve toplumun her kesiminin faydalardan yararlanmasını garanti altına almak için bu dönüşüm sürecini adil bir şekilde ele almak büyük önem taşımaktadır. Acemoğlu, YZ ve otomasyonun işgücü piyasası üzerindeki potansiyel olumsuz etkilerini ele almak için çeşitli politikalar önermektedir. Bunlar arasında işçi haklarının ve korumalarının geliştirilmesi, toplu pazarlığın teşvik edilmesi, yeniden eğitim girişimlerine yatırım yapılması, etkilenen işçilere gelir desteği sunulması ve YZ ve otomasyonun etik kullanımının teşvik edilmesi yer almaktadır. Çalışmada, YZ ve otomasyonun farklı meslek grupları üzerindeki potansiyel etkileri de gösterilerek, eşitsizliklerin daha da kötüleşmesini önlemek için YZ ve otomasyonu yönetme stratejilerini tartışmaktadır. Ek olarak, hükümetlerin, işletmelerin ve sendikaların bu teknolojik gelişmelere uyum sağlamadaki rolünü incelemektedir. Son olarak, YZ ve otomasyonun gelecekteki işgücü piyasası üzerindeki potansiyel etkileri ele alınmaktadır. Bu çalışma, YZ ve otomasyonun işgücü piyasası üzerindeki potansiyel etkilerini değerlendirmek ve bu dönüştürücü süreci yönlendirmek için en etkili stratejileri belirlemek için değerli bir kaynak olarak kabul edilmektedir.

Kaynakça

  • Acemoglu, Daron. Yapay Zekayı Yeniden Tasarlamak: Otomasyon Çağında İş, Demokrasi ve Adalet. 2nd ed. Ankara: Efil Yayınevi, 2022.
  • Acemoglu, Daron, and David H. Autor. ‘Skills, Tasks and Technologies: Implications for Employment and Earnings’. In Handbook of Labor Economics, 1st ed., 4:1043–1171. Elsevier, 2011.
  • Acemoglu, Daron, David Autor, and Simon Johnson. ‘Can We Have Pro-Worker AI? Choosing a Path of Machines in Service of Minds’. The Centre for Economic Policy Research, 2023.
  • Acemoglu, Daron, and Simon Johnson. İktidar ve Teknoloji: Bin Yıllık Mücadele. İstanbul: Doğan Kitap, 2023.
  • Acemoglu, Daron, and Pascual Restrepo. ‘Artificial Intelligence, Automation, and Work’. In The Economics of Artificial Intelligence: An Agenda, 197–236. University of Chicago Press, 2018.
  • ———. ‘Automation and New Tasks: How Technology Displaces and Reinstates Labor’. Journal of Economic Perspectives 33, no. 2 (May 2019): 3–30. https://doi.org/10.1257/jep.33.2.3.
  • ———. ‘Low-Skill and High-Skill Automation’. Journal of Human Capital 12, no. 2 (June 2018): 204–32. https://doi.org/10.1086/697242.
  • ———. ‘Modeling Automation’. AEA Papers and Proceedings 108 (May 2018): 48–53. https://doi.org/10.1257/pandp.20181020.
  • ———. ‘Tasks, Automation, and the Rise in U.S. Wage Inequality’. Econometrica 90, no. 5 (2022): 1973–2016. https://doi.org/10.3982/ECTA19815.
  • ———. ‘The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment’. American Economic Review 108, no. 6 (June 2018): 1488–1542. https://doi.org/10.1257/aer.20160696.
  • ———. ‘The Wrong Kind of AI? Artificial Intelligence and the Future of Labour Demand’. Cambridge Journal of Regions, Economy and Society 13, no. 1 (15 May 2020): 25–35. https://doi.org/10.1093/cjres/rsz022.
  • ———. ‘Unpacking Skill Bias: Automation and New Tasks’. AEA Papers and Proceedings 110 (May 2020): 356–61. https://doi.org/10.1257/pandp.20201063.
  • Acemoglu, Daron, and James A. Robinson. Dar Koridor: Devletler, Toplumlar ve Özgürlüğün Geleceği. İstanbul: Doğan Kitap, 2020.
  • Acemoglu, Daron, and Alexander Wolitzky. ‘Employment and Community: Socioeconomic Cooperation and Its Breakdown’. MIT Economics, May 2024.
  • Aghion, Philippe, Celine Antonin, Simon Bunel, and Xavier Jaravel. ‘What Are the Labor and Product Market Effects of Automation? New Evidence from France’. SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 1 February 2020. https://papers.ssrn.com/abstract=3547376.
  • Aşkun, Volkan. ‘Örneklerle Yapay Zeka ve İnsan Kaynakları Yönetimi’. In Kamu ve Özel Sektör Boyutuyla İnsan Kaynakları Yönetimi 2, 215–43. İstanbul: Efe Akademik Yayıncılık, 2023.
  • ———. ‘Sosyal bilimler araştırmaları için ChatGPT potansiyelinin açığa çıkarılması: Uygulamalar, zorluklar ve gelecek yönelimler’. Erciyes Akademi 37, no. 2 (30 June 2023): 622–56. https://doi.org/10.48070/erciyesakademi.1281544.
  • Autor, David H. ‘Why Are There Still So Many Jobs? The History and Future of Workplace Automation’. Journal of Economic Perspectives 29, no. 3 (September 2015): 3–30. https://doi.org/10.1257/jep.29.3.3.
  • ———. ‘Work of the Past, Work of the Future’. AEA Papers and Proceedings 109 (May 2019): 1–32. https://doi.org/10.1257/pandp.20191110.
  • Autor, David H., Frank Levy, and Richard J. Murnane. ‘The Skill Content of Recent Technological Change: An Empirical Exploration*’. The Quarterly Journal of Economics 118, no. 4 (1 November 2003): 1279–1333. https://doi.org/10.1162/003355303322552801.
  • Brynjolfsson, Erik, and Andrew McAfee. The Second Machine Age: Akıllık Teknolojiler Devrinde Çalışma, İlerleme ve Refah. Türk Hava Yolları Yayınları, 2015.
  • Capraro, Valerio, Austin Lentsch, Daron Acemoglu, Selin Akgun, Aisel Akhmedova, Ennio Bilancini, Jean-François Bonnefon, et al. ‘The Impact of Generative Artificial Intelligence on Socioeconomic Inequalities and Policy Making’. OSF, 22 December 2023. https://doi.org/10.31234/osf.io/6fd2y.
  • De Stefano, Valerio. ‘The Rise of the Just-in-Time Workforce: On-Demand Work, Crowdwork, and Labor Protection in the Gig-Economy’. Comparative Labor Law & Policy Journal 37, no. 3 (2015): 471.
  • Díaz Pavez, Luis R., and Inmaculada Martínez-Zarzoso. ‘The Impact of Automation on Labour Market Outcomes in Emerging Countries’. The World Economy 47, no. 1 (2024): 298–331. https://doi.org/10.1111/twec.13523.
  • Fjeld, Jessica, Nele Achten, Hannah Hilligoss, Adam Nagy, and Madhulika Srikumar. ‘Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI’. SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 15 January 2020. https://doi.org/10.2139/ssrn.3518482.
  • Ford, Martin. Robotların İktidarı: Yapay Zeka Dünyaya Nasıl Hükmedecek? 2nd ed. İstanbul: Kronik Kitap, 2023.
  • Frank, Morgan R., David Autor, James E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, et al. ‘Toward Understanding the Impact of Artificial Intelligence on Labor’. Proceedings of the National Academy of Sciences 116, no. 14 (2 April 2019): 6531–39. https://doi.org/10.1073/pnas.1900949116.
  • Georgieff, Alexandre, and Raphaela Hyee. ‘Artificial Intelligence and Employment: New Cross-Country Evidence’. Paris: OECD, 15 December 2021. https://doi.org/10.1787/c2c1d276-en.
  • Gigerenzer, Gerd. How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms. MIT Press, 2022.
  • Goldin, Claudia, and Lawrence F. Katz. ‘The Race between Education and Technology: The Evolution of U.S. Educational Wage Differentials, 1890 to 2005’. Working Paper. Working Paper Series. National Bureau of Economic Research, March 2007. https://doi.org/10.3386/w12984.
  • Günbayı, İlhan. ‘Action Research as a Mixed Methods Research: Definition, Philosophy, Types, Process, Political and Ethical Issues and Pros and Cons’. Journal of Mixed Methods Studies 1, no. 2 (2020): 16–25.
  • ———. ‘Knowledge-Constitutive Interests and Social Paradigms in Guiding Mixed Methods Research (MMR)’. Journal of Mixed Methods Studies 1, no. 1 (2020): 37–49.
  • Harari, Yuval Noah. Neksus: Taş Devri’nden Yapay Zekaya Bilgi Ağlarının Kısa Tarihi. Kolektif Kitap, 2024.
  • Jobin, Anna, Marcello Ienca, and Effy Vayena. ‘The Global Landscape of AI Ethics Guidelines’. Nature Machine Intelligence 1, no. 9 (2 September 2019): 389–99. https://doi.org/10.1038/s42256-019-0088-2.
  • Katz, Raúl, Fernando Callorda, and Juan Jung. ‘The Impact of Automation on Employment and Its Social Implications: Evidence from Chile’. Economics of Innovation and New Technology 32, no. 5 (4 July 2023): 646–62. https://doi.org/10.1080/10438599.2021.1991798.
  • Mokyr, Joel. The Lever of Riches: Technological Creativity and Economic Progress. Oxford University Press, 1990.
  • Morandini, Sofia, Federico Fraboni, Marco De Angelis, Gabriele Puzzo, Davide Giusino, and Luca Pietrantoni. ‘The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations’. Informing Science 26 (2023): 39–68. https://doi.org/10.28945/5078.
  • Moretti, Enrico. The New Geography of Jobs. New York: Houghton Mifflin Company, 2012.
  • Piketty, Thomas. Yirmi Birinci Yüzyılda Kapital. 1st ed. İstanbul: Türkiye İş Bankası Kültür Yayınları, 2014.
  • Restrepo, Pascual. ‘Automation and New Tasks: The Implications of the Task Content of Production for Labor Demand’. 2019 Meeting Papers, 2019 Meeting Papers, 2019. https://ideas.repec.org//p/red/sed019/234.html.
  • Rigley, Eryn, Caitlin Bentley, Joshua Krook, and Sarvapali D. Ramchurn. ‘Evaluating International AI Skills Policy: A Systematic Review of AI Skills Policy in Seven Countries’. Global Policy 15, no. 1 (2024): 204–17. https://doi.org/10.1111/1758-5899.13299.
  • Schwab, Klaus. Dördüncü Sanayi Devrimi. İstanbul: Optimist Yayın, 2017.
  • Susskind, Daniel. A World Without Work: Technology, Automation, and How We Should Respond. New York: Metropolitan Books, 2020.
  • The MIT Press. ‘What 250 Years of Innovation History Reveals About Our Green Future’. The MIT Press Reader (blog), 9 April 2021. https://thereader.mitpress.mit.edu/what-250-years-of-innovation-history-reveals-about-our-green-future/.
  • Vermeulen, Ben, Jan Kesselhut, Andreas Pyka, and Pier Paolo Saviotti. ‘The Impact of Automation on Employment: Just the Usual Structural Change?’ Sustainability 10, no. 5 (May 2018): 1661. https://doi.org/10.3390/su10051661.
  • West, Darrell M. The Future of Work: Robots, AI, and Automation. Brookings Institution Press, 2018.
  • Zhou, Guangsu, Gaosi Chu, Lixing Li, and Lingsheng Meng. ‘The Effect of Artificial Intelligence on China’s Labor Market’. China Economic Journal 13, no. 1 (2 January 2020): 24–41. https://doi.org/10.1080/17538963.2019.1681201.

Equality and Prosperity in the Age of Artificial Intelligence and Automation: A Review Based on Daron Acemoğlu's Views

Yıl 2024, Cilt: 3 Sayı: 2, 137 - 160, 28.11.2024

Öz

It is clear that the rapid spread of artificial intelligence (AI) and automation will have a significant impact on the labor market and society in general. In this transition period, it is crucial to ensure that the benefits of technological progress are shared fairly among all individuals in society. This paper examines the perspectives of esteemed economist Daron Acemoglu on the potential impacts of AI and automation on labor. According to Acemoglu, the effects of AI on the labor market will be similar to the consequences of technological progress throughout history. As automation continues to advance, certain jobs may be phased out, but new opportunities will also emerge. It is crucial to handle this transformation process fairly to avoid additional inequalities and guarantee that all segments of society reap the benefits. Acemoglu suggests several policies to address the potential negative impacts of AI and automation on the labor market. These include improving worker rights and protections, promoting collective bargaining, investing in retraining initiatives, offering income support to affected workers, and promoting the ethical use of AI and automation. The paper discusses strategies for managing AI and automation to prevent inequalities from worsening, also illustrating the potential impacts of AI and automation on different occupational groups. In addition, it examines the role of governments, businesses and trade unions in adapting to these technological developments. Finally, it considers the potential impacts of AI and automation on the future labor market. This study is considered a valuable resource for assessing the potential impacts of AI and automation on the labor market and identifying the most effective strategies to drive this transformative process.

Kaynakça

  • Acemoglu, Daron. Yapay Zekayı Yeniden Tasarlamak: Otomasyon Çağında İş, Demokrasi ve Adalet. 2nd ed. Ankara: Efil Yayınevi, 2022.
  • Acemoglu, Daron, and David H. Autor. ‘Skills, Tasks and Technologies: Implications for Employment and Earnings’. In Handbook of Labor Economics, 1st ed., 4:1043–1171. Elsevier, 2011.
  • Acemoglu, Daron, David Autor, and Simon Johnson. ‘Can We Have Pro-Worker AI? Choosing a Path of Machines in Service of Minds’. The Centre for Economic Policy Research, 2023.
  • Acemoglu, Daron, and Simon Johnson. İktidar ve Teknoloji: Bin Yıllık Mücadele. İstanbul: Doğan Kitap, 2023.
  • Acemoglu, Daron, and Pascual Restrepo. ‘Artificial Intelligence, Automation, and Work’. In The Economics of Artificial Intelligence: An Agenda, 197–236. University of Chicago Press, 2018.
  • ———. ‘Automation and New Tasks: How Technology Displaces and Reinstates Labor’. Journal of Economic Perspectives 33, no. 2 (May 2019): 3–30. https://doi.org/10.1257/jep.33.2.3.
  • ———. ‘Low-Skill and High-Skill Automation’. Journal of Human Capital 12, no. 2 (June 2018): 204–32. https://doi.org/10.1086/697242.
  • ———. ‘Modeling Automation’. AEA Papers and Proceedings 108 (May 2018): 48–53. https://doi.org/10.1257/pandp.20181020.
  • ———. ‘Tasks, Automation, and the Rise in U.S. Wage Inequality’. Econometrica 90, no. 5 (2022): 1973–2016. https://doi.org/10.3982/ECTA19815.
  • ———. ‘The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment’. American Economic Review 108, no. 6 (June 2018): 1488–1542. https://doi.org/10.1257/aer.20160696.
  • ———. ‘The Wrong Kind of AI? Artificial Intelligence and the Future of Labour Demand’. Cambridge Journal of Regions, Economy and Society 13, no. 1 (15 May 2020): 25–35. https://doi.org/10.1093/cjres/rsz022.
  • ———. ‘Unpacking Skill Bias: Automation and New Tasks’. AEA Papers and Proceedings 110 (May 2020): 356–61. https://doi.org/10.1257/pandp.20201063.
  • Acemoglu, Daron, and James A. Robinson. Dar Koridor: Devletler, Toplumlar ve Özgürlüğün Geleceği. İstanbul: Doğan Kitap, 2020.
  • Acemoglu, Daron, and Alexander Wolitzky. ‘Employment and Community: Socioeconomic Cooperation and Its Breakdown’. MIT Economics, May 2024.
  • Aghion, Philippe, Celine Antonin, Simon Bunel, and Xavier Jaravel. ‘What Are the Labor and Product Market Effects of Automation? New Evidence from France’. SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 1 February 2020. https://papers.ssrn.com/abstract=3547376.
  • Aşkun, Volkan. ‘Örneklerle Yapay Zeka ve İnsan Kaynakları Yönetimi’. In Kamu ve Özel Sektör Boyutuyla İnsan Kaynakları Yönetimi 2, 215–43. İstanbul: Efe Akademik Yayıncılık, 2023.
  • ———. ‘Sosyal bilimler araştırmaları için ChatGPT potansiyelinin açığa çıkarılması: Uygulamalar, zorluklar ve gelecek yönelimler’. Erciyes Akademi 37, no. 2 (30 June 2023): 622–56. https://doi.org/10.48070/erciyesakademi.1281544.
  • Autor, David H. ‘Why Are There Still So Many Jobs? The History and Future of Workplace Automation’. Journal of Economic Perspectives 29, no. 3 (September 2015): 3–30. https://doi.org/10.1257/jep.29.3.3.
  • ———. ‘Work of the Past, Work of the Future’. AEA Papers and Proceedings 109 (May 2019): 1–32. https://doi.org/10.1257/pandp.20191110.
  • Autor, David H., Frank Levy, and Richard J. Murnane. ‘The Skill Content of Recent Technological Change: An Empirical Exploration*’. The Quarterly Journal of Economics 118, no. 4 (1 November 2003): 1279–1333. https://doi.org/10.1162/003355303322552801.
  • Brynjolfsson, Erik, and Andrew McAfee. The Second Machine Age: Akıllık Teknolojiler Devrinde Çalışma, İlerleme ve Refah. Türk Hava Yolları Yayınları, 2015.
  • Capraro, Valerio, Austin Lentsch, Daron Acemoglu, Selin Akgun, Aisel Akhmedova, Ennio Bilancini, Jean-François Bonnefon, et al. ‘The Impact of Generative Artificial Intelligence on Socioeconomic Inequalities and Policy Making’. OSF, 22 December 2023. https://doi.org/10.31234/osf.io/6fd2y.
  • De Stefano, Valerio. ‘The Rise of the Just-in-Time Workforce: On-Demand Work, Crowdwork, and Labor Protection in the Gig-Economy’. Comparative Labor Law & Policy Journal 37, no. 3 (2015): 471.
  • Díaz Pavez, Luis R., and Inmaculada Martínez-Zarzoso. ‘The Impact of Automation on Labour Market Outcomes in Emerging Countries’. The World Economy 47, no. 1 (2024): 298–331. https://doi.org/10.1111/twec.13523.
  • Fjeld, Jessica, Nele Achten, Hannah Hilligoss, Adam Nagy, and Madhulika Srikumar. ‘Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI’. SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 15 January 2020. https://doi.org/10.2139/ssrn.3518482.
  • Ford, Martin. Robotların İktidarı: Yapay Zeka Dünyaya Nasıl Hükmedecek? 2nd ed. İstanbul: Kronik Kitap, 2023.
  • Frank, Morgan R., David Autor, James E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, et al. ‘Toward Understanding the Impact of Artificial Intelligence on Labor’. Proceedings of the National Academy of Sciences 116, no. 14 (2 April 2019): 6531–39. https://doi.org/10.1073/pnas.1900949116.
  • Georgieff, Alexandre, and Raphaela Hyee. ‘Artificial Intelligence and Employment: New Cross-Country Evidence’. Paris: OECD, 15 December 2021. https://doi.org/10.1787/c2c1d276-en.
  • Gigerenzer, Gerd. How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms. MIT Press, 2022.
  • Goldin, Claudia, and Lawrence F. Katz. ‘The Race between Education and Technology: The Evolution of U.S. Educational Wage Differentials, 1890 to 2005’. Working Paper. Working Paper Series. National Bureau of Economic Research, March 2007. https://doi.org/10.3386/w12984.
  • Günbayı, İlhan. ‘Action Research as a Mixed Methods Research: Definition, Philosophy, Types, Process, Political and Ethical Issues and Pros and Cons’. Journal of Mixed Methods Studies 1, no. 2 (2020): 16–25.
  • ———. ‘Knowledge-Constitutive Interests and Social Paradigms in Guiding Mixed Methods Research (MMR)’. Journal of Mixed Methods Studies 1, no. 1 (2020): 37–49.
  • Harari, Yuval Noah. Neksus: Taş Devri’nden Yapay Zekaya Bilgi Ağlarının Kısa Tarihi. Kolektif Kitap, 2024.
  • Jobin, Anna, Marcello Ienca, and Effy Vayena. ‘The Global Landscape of AI Ethics Guidelines’. Nature Machine Intelligence 1, no. 9 (2 September 2019): 389–99. https://doi.org/10.1038/s42256-019-0088-2.
  • Katz, Raúl, Fernando Callorda, and Juan Jung. ‘The Impact of Automation on Employment and Its Social Implications: Evidence from Chile’. Economics of Innovation and New Technology 32, no. 5 (4 July 2023): 646–62. https://doi.org/10.1080/10438599.2021.1991798.
  • Mokyr, Joel. The Lever of Riches: Technological Creativity and Economic Progress. Oxford University Press, 1990.
  • Morandini, Sofia, Federico Fraboni, Marco De Angelis, Gabriele Puzzo, Davide Giusino, and Luca Pietrantoni. ‘The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations’. Informing Science 26 (2023): 39–68. https://doi.org/10.28945/5078.
  • Moretti, Enrico. The New Geography of Jobs. New York: Houghton Mifflin Company, 2012.
  • Piketty, Thomas. Yirmi Birinci Yüzyılda Kapital. 1st ed. İstanbul: Türkiye İş Bankası Kültür Yayınları, 2014.
  • Restrepo, Pascual. ‘Automation and New Tasks: The Implications of the Task Content of Production for Labor Demand’. 2019 Meeting Papers, 2019 Meeting Papers, 2019. https://ideas.repec.org//p/red/sed019/234.html.
  • Rigley, Eryn, Caitlin Bentley, Joshua Krook, and Sarvapali D. Ramchurn. ‘Evaluating International AI Skills Policy: A Systematic Review of AI Skills Policy in Seven Countries’. Global Policy 15, no. 1 (2024): 204–17. https://doi.org/10.1111/1758-5899.13299.
  • Schwab, Klaus. Dördüncü Sanayi Devrimi. İstanbul: Optimist Yayın, 2017.
  • Susskind, Daniel. A World Without Work: Technology, Automation, and How We Should Respond. New York: Metropolitan Books, 2020.
  • The MIT Press. ‘What 250 Years of Innovation History Reveals About Our Green Future’. The MIT Press Reader (blog), 9 April 2021. https://thereader.mitpress.mit.edu/what-250-years-of-innovation-history-reveals-about-our-green-future/.
  • Vermeulen, Ben, Jan Kesselhut, Andreas Pyka, and Pier Paolo Saviotti. ‘The Impact of Automation on Employment: Just the Usual Structural Change?’ Sustainability 10, no. 5 (May 2018): 1661. https://doi.org/10.3390/su10051661.
  • West, Darrell M. The Future of Work: Robots, AI, and Automation. Brookings Institution Press, 2018.
  • Zhou, Guangsu, Gaosi Chu, Lixing Li, and Lingsheng Meng. ‘The Effect of Artificial Intelligence on China’s Labor Market’. China Economic Journal 13, no. 1 (2 January 2020): 24–41. https://doi.org/10.1080/17538963.2019.1681201.
Toplam 47 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Politika ve Yönetim (Diğer)
Bölüm Derlemeler
Yazarlar

Volkan Aşkun 0000-0003-2746-502X

Erken Görünüm Tarihi 28 Kasım 2024
Yayımlanma Tarihi 28 Kasım 2024
Gönderilme Tarihi 27 Mayıs 2024
Kabul Tarihi 26 Kasım 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 3 Sayı: 2

Kaynak Göster

Chicago Aşkun, Volkan. “Yapay Zekâ Ve Otomasyon Çağında Eşitlik Ve Refah: Daron Acemoğlu’nun Görüşlerine Dayalı Bir İnceleme”. Bozok Sosyal Bilimler Dergisi 3, sy. 2 (Kasım 2024): 137-60.