Teknoloji, Yapay Zekâ ve İstihdam
Özet
Tarih boyunca üretim araçlarında yaşanan dönüşümler; işlerin, istihdam biçimlerinin ve işleri yapmak için gerekli becerilerin köklü şekilde değişmesine neden olmuştur. Sanayi Devrimi’nde buhar gücünün, 20. yüzyılda önce elektriğin ve sonra bilgisayarın işgücü piyasası üzerindeki etkilerinin tartışıldığı gibi, bugün de yapay zekânın daha çok iş kayıplarına mı, yoksa yeni iş yaratımına mı yol açacağı tartışılmaktadır. Bununla birlikte, yapay zekâ teknolojilerinin sadece üretim süreçlerini değil; karar alma, veri analizi, dil işleme ve yaratıcı içerik üretme gibi alanları da kapsaması, önceki teknolojik dönüşümlerden ayrışmasına neden olmaktadır. Bu bölümde önce temel kavramlar açıklanacak, ardından yapay zekânın istihdam üzerindeki etkilerini ele alan kuramsal yaklaşımlar özetlenecek ve son bölümde yapay zekânın işgücü piyasaları üzerindeki etkisi farklı boyutlarıyla incelenecektir.
Throughout history, transformations in the means of production have led to profound changes in jobs, forms of employment, and the skills required to perform those jobs. Just as the impact of steam power during the Industrial Revolution, and later electricity and computers in the 20th century, on the labor market has been widely discussed, there is now a debate on whether artificial intelligence will lead to job losses or the creation of new jobs. However, the fact that AI technologies affect not only production processes but also areas such as decision-making, data analysis, language processing, and creative content generation sets them apart from previous technological transformations. This chapter will first explain the key concepts, then summarize the theoretical approaches that examine the impact of artificial intelligence on employment, and finally analyse the effects of AI on labour markets from various perspectives.
Referanslar
Acemoğlu, D. (1998). Why do new technologies complement skills? Directed technical change and wage inequality. Quarterly Journal of Economics, 113(4), 1055–1089. https://doi.org/10.1162/003355398555838
Acemoğlu, D., & Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. In O. Ashenfelter & D. Card (Eds.), Handbook of labor economics (Vol. 4B, pp. 1043–1171). Elsevier. https://doi.org/10.1016/S0169-7218(11)02410-5
Acemoğlu, D., & Robinson, J. A. (2012). Why nations fail: The origins of power, prosperity, and poverty. Crown Publishing.
Acemoğlu, D., & Restrepo, P. (2017). Robots and jobs: Evidence from US labor markets. NBER Working Paper No. 23285. https://doi.org/10.3386/w23285
Acemoğlu, D., & Restrepo, P. (2018). Artificial intelligence, automation, and work (NBER Working Paper No. 24196). National Bureau of Economic Research. https://doi.org/10.3386/w24196
Acemoğlu, D., & Restrepo, P. (2019a). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30. https://doi.org/10.1257/jep.33.2.3
Acemoğlu, D., & Restrepo, P. (2019b). The wrong kind of AI? Artificial intelligence and the future of labor demand. Cambridge Journal of Regions, Economy and Society, 13(1), 25–35. https://doi.org/10.1093/cjres/rsz022
Acemoğlu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244. https://doi.org/10.1086/705716
Acemoğlu, D., & Restrepo, P. (2022). Tasks, automation, and the rise in US wage inequality. Econometrica, 90(5), 1973–2016. https://doi.org/10.3982/ECTA19815
Aghion, P., & Howitt, P. (1992). A model of growth through creative destruction. Econometrica, 60(2), 323–351. https://doi.org/10.2307/2951599
Aghion, P., & Howitt, P. (2009). The economics of growth. MIT Press.
Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis (OECD Social, Employment and Migration Working Papers No. 189). OECD Publishing. https://doi.org/10.1787/5jlz9h56dvq7-en
Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. Quarterly Journal of Economics, 118(4), 1279–1333. https://doi.org/10.1162/003355303322552801
Autor, D. H. (2013). The “task approach” to labor markets: An overview. Journal for Labour Market Research, 46(3), 185–199. https://doi.org/10.1007/s12651-013-0128-z
Autor, D., & Dorn, D. (2013). The growth of low-skill service jobs and the polarization of the US labor market. American Economic Review, 103(5), 1553–1597. https://doi.org/10.1257/aer.103.5.1553
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3
Autor, D., & Salomons, A. (2018). Is automation labor-displacing? Productivity growth, employment, and the labor share. Brookings Papers on Economic Activity, Spring 2018, 1–63. https://www.brookings.edu/wp-content/uploads/2018/03/1_autorsalomons.pdf
Autor, D. H., Mindell, D., & Reynolds, E. (2019). The work of the future: Shaping technology and institutions. MIT Work of the Future Report. https://workofthefuture-taskforce.mit.edu/wp-content/uploads/2020/08/WorkoftheFuture_Report_Shaping_Technology_and_Institutions.pdf
Barocas, S., & Selbst, A. D. (2016). Big data’s disparate impact. California Law Review, 104(3), 671–732. https://doi.org/10.15779/Z38BG31
Bessen, J. E. (2019). AI and jobs: The role of demand (NBER Working Paper No. 24235). National Bureau of Economic Research. https://doi.org/10.3386/w24235
Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
Braverman, H. (1974). Labor and monopoly capital: The degradation of work in the twentieth century. Monthly Review Press.
Brynjolfsson, E., & McAfee, A. (2011). Race against the machine: How the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy. Digital Frontier Press.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Bughin, J., Hazan, E., Lund, S., Dahlström, P., Wiesinger, A., & Subramaniam, A. (2018). Skill shift: Automation and the future of the workforce. McKinsey Global Institute. https://www.mckinsey.com/featured-insights/future-of-work/skill-shift-automation-and-the-future-of-the-workforce
Burrell, J. (2016). How the machine “thinks”: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1). https://doi.org/10.1177/2053951715622512
Castells, M. (2010). The rise of the network society (2nd ed.). Wiley-Blackwell.
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118. https://doi.org/10.1038/nature21056
Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press.
European Commission. (2020). Ethics guidelines for trustworthy AI. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
European Commission. (2022). Digital education action plan (2021–2027): Resetting education and training for the digital age. Publications Office of the European Union. https://education.ec.europa.eu/focus-topics/digital-education/action-plan
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press. https://www.deeplearningbook.org/
Goos, M., & Manning, A. (2007). Lousy and lovely jobs: The rising polarization of work in Britain. Review of Economics and Statistics, 89(1), 118–133. https://doi.org/10.1162/rest.89.1.118
Goos, M., Manning, A., & Salomons, A. (2014). Explaining job polarization: Routine-biased technological change and offshoring. American Economic Review, 104(8), 2509–2526. https://doi.org/10.1257/aer.104.8.2509
International Labour Organization (ILO). (2021). World employment and social outlook: The role of digital labour platforms in transforming the world of work. ILO Publishing. https://www.ilo.org/global/research/global-reports/weso/2021/WCMS_771749/lang--en/index.htm
Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative Industrie 4.0. Final report of the Industrie 4.0 Working Group. https://www.din.de/resource/blob/76902/e8cac883f42bf28536e7e8165993f1fd/recommendations-for-implementing-industry-4-0-data.pdf
Keynes, J. M. (1930). Economic possibilities for our grandchildren. The Nation and Athenaeum, 122(3159), 358–363.
Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242. https://doi.org/10.1007/s12599-014-0334-4
Litman, T. (2025). Autonomous vehicle implementation predictions: Implications for transport planning. Victoria Transport Policy Institute. https://www.vtpi.org/avip.pdf
Mateescu, A., & Nguyen, A. (2019). Algorithmic management in the workplace. Data & Society Research Institute. https://datasociety.net/wp-content/uploads/2019/02/DS_Algorithmic_Management_Explainer.pdf
McKinsey Global Institute. (2017). Harnessing automation for a future that works. https://www.mckinsey.com/featured-insights/digital-disruption/harnessing-automation-for-a-future-that-works
McKinsey Global Institute. (2021). Defining the skills citizens will need in the future world of work. https://www.mckinsey.com/industries/public-sector/our-insights/defining-the-skills-citizens-will-need-in-the-future-world-of-work
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2). https://doi.org/10.1177/2053951716679679
Mourshed, M., Patel, J., & Suder, K. (2014). Education to employment: Getting Europe’s Youth into Work. McKinsey Center for Government. https://www.mckinsey.com/~/media/mckinsey/industries/public%20and%20social%20sector/our%20insights/converting%20education%20to%20employment%20in%20europe/education%20to%20employment%20getting%20europes%20youth%20into%20work%20full%20report.pdf
Muro, M., Liu, S., Whiton, J., & Kulkarni, S. (2019). Automation and artificial intelligence: How machines are affecting people and places. Brookings Institution. https://www.brookings.edu/research/automation-and-artificial-intelligence/
Nelson, R. R., & Winter, S. G. (1982). An evolutionary theory of economic change. Belknap Press.
OECD. (2020). Digital economy outlook 2020. OECD Publishing. https://doi.org/10.1787/bb167041-en
OECD. (2021a). AI and the future of skills, Volume 1. OECD Publishing. https://www.oecd.org/en/publications/ai-and-the-future-of-skills-volume-1_5ee71f34-en.html
OECD. (2021b). The impact of AI on the labour market: What do we know so far? OECD Publishing. https://www.oecd.org/en/publications/2021/01/the-impact-of-artificial-intelligence-on-the-labour-market_a4b9cac2.html
OECD. (2023a). Skills outlook 2023: Skills for a resilient green and digital transition. OECD Publishing. https://www.oecd.org/en/publications/2023/11/oecd-skills-outlook-2023_df859811.html
OECD. (2023b). Employment outlook 2023: Artificial intelligence and the labour market. OECD Publishing. https://www.oecd.org/en/publications/oecd-employment-outlook-2023_08785bba-en.html
OpenAI. (2023). GPT-4 technical report. https://openai.com/research/gpt-4
Rifkin, J. (2011). The third industrial revolution: How lateral power is transforming energy, the economy, and the world. Palgrave Macmillan.
Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Schumpeter, J. A. (1942). Capitalism, socialism and democracy. Harper & Brothers.
Schwab, K. (2017). The fourth industrial revolution. World Economic Forum. https://www.weforum.org/about/the-fourth-industrial-revolution-by-klaus-schwab
Sun, T. Q., & Medaglia, R. (2019). Mapping the challenges of artificial intelligence in the public sector: Evidence from public healthcare. Government Information Quarterly, 36(2), 368–383. https://doi.org/10.1016/j.giq.2018.09.008
Susskind, R., & Susskind, D. (2015). The future of the professions: How technology will transform the work of human experts. Oxford University Press.
Tapscott, D. (1996). The digital economy: Promise and peril in the age of networked intelligence. McGraw-Hill.
Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
UNESCO. (2021a). Recommendation on the ethics of artificial intelligence. https://unesdoc.unesco.org/ark:/48223/pf0000381137
UNESCO. (2021b). Reimagining our futures together: A new social contract for education. https://unesdoc.unesco.org/ark:/48223/pf0000379707
UNESCO. (2022). Re|Shaping policies for creativity: Addressing culture as a global public good. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000380474
Webb, M. (2020). The impact of artificial intelligence on the labor market. Working paper, Stanford University. https://www.michaelwebb.co/webb_ai.pdf
West, D. M., Allen, J. R., & Gorham, M. (2022). Turning point: Policymaking in the era of artificial intelligence. Brookings Institution Press.
World Economic Forum. (2023). The future of jobs report 2023. World Economic Forum. https://www.weforum.org/reports/the-future-of-jobs-report-2023/
Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962. https://doi.org/10.1080/00207543.2018.1444806
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
