KALKINMANIN İKTİSADİ, SOSYAL VE KÜLTÜREL BOYUTLARI BAĞLAMINDA YAPAY ZEKA

Year 2025, Issue: 68, 103 - 116, 12.05.2025

Caner Demir

https://doi.org/10.30794/pausbed.1611378

Abstract

Bu çalışmada, içinde bulunduğumuz çağın en önemli dönüşüm faktörlerinden biri olan yapay zekanın kalkınma üzerindeki etkileri ele alınmaktadır. Üretim süreçlerini ve tüketim kalıplarını kayda değer bir şekilde etkilemekte olan yapay zeka, iktisadi ilişkileri ve akımları gözle görünür derecede etkilemiş ve etkilemeye devam etmektedir. Oluşan verimlilik artışları sayesinde ekonomik büyümede artışların olması beklenirken işgücü piyasalarında yapay zekanın insan emeğini ikame edeceği yönündeki endişeler halen tartışılmaktadır. Oldukça önemli olan bu başlıklar kalkınmanın iktisadi boyutunu oluştururken, sosyal ve kültürel alanda da yapay zeka sistemlerinden kaynaklanan dikkat çekici dönüşümler meydana gelmektedir. Bu farkındalıktan hareketle, bu çalışmada yapay zekanın kalkınma üzerindeki mevcut ve potansiyel etkileri ekonomik, sosyal ve kültürel boyut olmak üzere üç alt başlık altında ele alınmaktadır. Ayrıca, yapay zekanın kalkınma alanında yol açtığı bu dönüşümlerin sürdürülebilirlik bakımından da bir değerlendirmesi yapılmaktadır. Yapılan tartışma çerçevesinde bu çalışma, yapay zekaya ilişkin izlenecek politikaların geç kalınmaksızın pek çok alanı kapsayıcı ve dinamik bir şekilde tasarlanması gerekliliğini ortaya koymaktadır.

Keywords

Yapay zeka, Kalkınma, Sürdürülebilirlik

ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF ECONOMIC, SOCIAL, AND CULTURAL DIMENSIONS OF DEVELOPMENT

Abstract

This study discusses the effects of artificial intelligence, one of the most important transformation factors of development in the current era. Economic relations and flows have been and still are impacted by artificial intelligence, which has a substantial impact on production processes and consumption patterns. While economic growth is expected to increase due to productivity gains, concerns that artificial intelligence will substitute human labour in labour markets are still being discussed. While these essential topics constitute the economic dimension of development, there are also remarkable transformations in the social and cultural spheres resulting from artificial intelligence systems. Based on this awareness, this study addresses the current and potential impacts of AI on development under three subheadings: economic, social, and cultural dimensions. In addition, an evaluation of these transformations caused by artificial intelligence in the field of development is also to be made in terms of sustainability. Within the framework of the discussion, this study highlights the necessity of designing policies related to artificial intelligence in a comprehensive and dynamic manner without delay.

Keywords

Artificial intelligence, Development, Sustainability

References

• Abbas, N., Imran, A., Manzoor, R., Hussain, T., & Hussain, M. (2023). Role of artificial intelligence tools in enhancing students’ educational performance at higher levels. Journal of Artificial Intelligence Machine Learning and Neural Network, (35), 36-49.
• Acemoglu, D. (2021). Redesigning AI. Boston Review Forum. MIT Press, Cambridge, MA.
• Acemoğlu, D., Johnson, S., & Robinson, J. A. (2005). Institutions as a Fundamental Cause of Long-Run Growth. Handbook of Economic Growth, 1, 385-472.
• Acemoglu, D. (2025). The simple macroeconomics of AI. Economic Policy, 40(121), 13-58.
• Angus, M. (2001). The World Economy: A Millennial Perspective. Development Centre Studies. OECD Publishing.
• Antes, A. L., Burrous, S., Sisk, B. A., Schuelke, M. J., Keune, J. D., & DuBois, J. M. (2021). Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey. BMC Medical Informatics and Decision Making, 21, 1-15.
• 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.
• Autor, D., & Salomons, A. (2017). Robocalypse now: Does productivity growth threaten employment. Proceedings of the ECB Forum on Central Banking: Investment and Growth in Advanced Economie,), Germany, 45-118.
• Bhandari, M. P. (2023). The fundamental principles of social sciences. Business Ethics and Leadership, 7(2), 73-86.
• Boom, R. (2005), Iron, the hidden element: the role of iron and steel in the twentieth century. The Hatfield Memorial Lectures, Woodhead Publishing, 227-245.
• Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & company.
• Campa, R. (2017). Automation, education, unemployment: a scenario analysis. Studia Paedagogica Ignatiana, 20(1), 23-39.
• Castells, M. (2010). The Rise of the Network Society. 2nd ed. Chichester, UK: Wiley-Blackwell.
• Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial intelligence and the ‘good society’: the US, EU, and UK approach. Science and Engineering Ethics, 24, 505-528.
• Ciston, S. (2019). Intersectional AI is essential: Polyvocal, multimodal, experimental methods to save artificial intelligence. Journal of Science and Technology of the Arts, 11(2), 3-8.
• Cota, W., Ferreira, S. C., Pastor-Satorras, R., & Starnini, M. (2019). Quantifying echo chamber effects in information spreading over political communication networks. EPJ Data Science, 8(1), 1-13.
• Diallo, S., Shults, F., & Wildman, W. (2020). Minding morality: ethical artificial societies for public policy modeling. Ai & Society, 36(1), 49-57.
• Diamond, J. (2008). Tüfek, Mikrop ve Çelik, Çev. Ülker İnce. Ankara: Tübitak Popüler Bilim Kitapları.
• Drath, R., Horch, A. (2014), Industrie 4.0: Hit or hype? [industry forum], IEEE Industrial Electronics Magazine, 8(2), 56-58.
• Drucker, P. F. (1993). Post-Capitalist society. HarperCollins.
• Edwards, P. N. (1997), Why Build Computers?: The Military Role in Computer Research, The Closed World: Computers and the Politics of Discourse in Cold War America, Cambridge: MIT, 54-74.
• Elias, M. (2023). Artificial intelligence in health and bioethical implications: a systematic review. Revista Bioética, 31, 1-12.
• Eynon, R., & Young, E. (2021). Methodology, legend, and rhetoric: The constructions of AI by academia, industry, and policy groups for lifelong learning. Science, Technology, & Human Values, 46(1), 166-191.
• Field, A. (2022). Mining the ambient commons: building interdisciplinary connections between environmental knowledge, ai and creative practice research. Interdisciplinary Science Reviews, 47(2), 185-198.
• Gaynes, R. (2017), The discovery of penicillin—new insights after more than 75 years of clinical use, Emerging Infectious Diseases, 23(5), 849-853.
• Goel, V., Sahnan, D., Dutta, S., Bandhakavi, A., & Chakraborty, T. (2023). Hatemongers ride on echo chambers to escalate hate speech diffusion. PNAS Nexus, 2, 1-10.
• Graetz, G., & Michaels, G. (2018). Robots at work. Review of Economics and Statistics, 100(5), 753-768.
• Haseeb, M., Sasmoko, Mihardjo, L. W., Gill, A. R., & Jermsittiparsert, K. (2019). Economic impact of artificial intelligence: New look for the macroeconomic assessment in Asia-Pacific region. International Journal of Computational Intelligence Systems, 12(2), 1295-1310.
• Hermann, M., Pentek, T., Otto, B. (2016), Design principles for industrie 4.0 scenarios, 49th Hawaii International Conference on System Sciences (HICSS), , 3928-3937.
• Hermansyah, M., Najib, A., Farida, A., Sacipto, R., & Rintyarna, B. (2023). Artificial intelligence and ethics: building an artificial intelligence system that ensures privacy and social justice. International Journal of Science and Society, 5(1), 154-168.
• Huang, M. & Rust, R. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
• Jones, C. I. (2016), The Facts of Economic Growth, Handbook of Macroeconomics, Vol. 2, 3-69. Elsevier.
• Kagermann, H., Lukas, W. D., & Wahlster, W. (2011), Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution, VDI nachrichten, 13(1).
• Kamilaris, A., & Prenafeta-Boldú, F. X. (2018). A review of the use of convolutional neural networks in agriculture. The Journal of Agricultural and Biological Research, 15(4), 89-104.
• Kanbur, R. (2002). Economics, social science and development. World Development, 30(3), 477-486.
• Korinek, A., & Stiglitz, J. E. (2021). Artificial intelligence, globalization, and strategies for economic development. National Bureau of Economic Research. No. w28453.
• Landes, D. S. (2003). The unbound Prometheus: technological change and industrial development in Western Europe from 1750 to the present. Cambridge University Press.
• Lee, D. & Yoon, S. (2021). Application of artificial intelligence-based technologies in the healthcare industry: opportunities and challenges. International Journal of Environmental Research and Public Health, 18(1), 271, 1-18. Liffen, J. (2013), Telegraphy and telephones. Industrial Archaeology Review, 35(1), 22-39.
• Lu, Y., & Zhou, Y. (2021). A review on the economics of artificial intelligence. Journal of Economic Surveys, 35(4), 1045-1072.
• Mateos-Garcia, J. C. (2018). The complex economics of artificial intelligence. Available at SSRN 3294552. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3294552, Erişim Tarihi: 02.09.2024
• Merola, R. (2022). Inclusive growth in the era of automation and ai: how can taxation help?. Frontiers in Artificial Intelligence, 5.
• Osoba, O. A. (2020). Technocultural Pluralism: A” Clash of Civilizations” in Technology?. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 132-137.
• Patón-Romero, J. D., Vinuesa, R., Jaccheri, L., & Baldassarre, M. T. (2022). State of Gender Equality in and by Artificial Intelligence. IADIS International Journal on Computer Science and Information Systems, 17(2), 31-48.
• Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: an emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 1-14.
• Puaschunder, J. M. (2019). Artificial Intelligence market disruption. Proceedings of the 13th International RAIS Conference on Social Sciences and Humanities, Scientia Moralitas Research Institute, 1-8
• Rifkin, J. (2011), The third industrial revolution: how lateral power is transforming energy, the economy, and the world. Macmillan.
• Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., ... & Bengio, Y. (2022). Tackling climate change with machine learning. ACM Computing Surveys, 55(2), 1-96.
• Sadiku, M. N., Ashaolu, T. J., Ajayi-Majebi, A., & Musa, S. M. (2021). Artificial intelligence in social media. International Journal of Scientific Advances, 2(1), 15-20.
• Schiff, D. (2020). Out of the laboratory and into the classroom: the future of artificial intelligence in education. Ai & Society, 36(1), 331-348.
• Schumpeter, J. A. (1942). Capitalism, Socialism, and Democracy. Harper & Brothers.
• Sharabov, M. and Tsochev, G. (2020). The use of artificial intelligence in industry 4.0. Problems of Engineering Cybernetics and Robotics, 73, 17-29.
• Siau, K., & Wang, W. (2020). Artificial intelligence (AI) ethics: ethics of AI and ethical AI. Journal of Database Management, 31(2), 74-87.
• Skolnik, M. (2002), Role of radar in microwaves, IEEE Transactions on Microwave Theory and Techniques, 50(3), 625-632.
• Smith, A. (2006). Ulusların Zenginliği, Çev: Haldun Derin. Türkiye İş Bankası Kültür Yayınları, İstanbul.
• Takbir, M., Munir, M., & Mustansyir, R. (2022). Decolonizing Social Sciences in postcolonial countries: Reflection on the Social Sciences in Indonesia. Research, Society and Development, 11(3), e54911327055-e54911327055.
• Tamburrini, G. (2022). The AI carbon footprint and responsibilities of AI scientists. Philosophies, 7(1), 4. 1-11.
• Tyulin, A., Chursin, A., Ragulina, J., Akberdina, V., & Yudin, A. (2023). The development of kondratieff’s theory of long waves: the place of the ai economy humanization in the ‘competencies-innovations-markets’ model. Humanities and Social Sciences Communications, 10(1), 1-13.
• UNDP. (2024). Human Development Report 2024. United Nations Development Programme, New York. ISSN: 2412-3129.
• United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. https://sdgs.un.org/2030agenda, Erişim Tarihi: 05.10.2024
• van Wynsberghe, A. (2021). Sustainable AI: AI for sustainability and the sustainability of AI. AI and Ethics, 1(3), 213-218.
• Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., ... & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the sustainable development goals. Nature Communications, 11(233), 1-10.
• Walton, N., & Nayak, B. S. (2021). Rethinking of Marxist perspectives on big data, artificial intelligence (AI) and capitalist economic development. Technological Forecasting and Social Change, 166, 120576, 1-8.
• Wang, Q., Sun, T., & Li, R. (2023). Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects. Energy & Environment, 1-33.
• Wilson, H., Rauwolf, P., & Bryson, J. J. (2021). Evolutionary psychology and artificial intelligence: The impact of artificial intelligence on human behaviour. The SAGE Handbook of Evolutionary Psychology: Applications of Evolutionary Psychology, 333-351.
• World Commission on Environment and Development (1987). Our Common Future, Oxford University Press, ISBN: 019282080X.
• Wulf, C. (2025). Intangible Cultural Heritage: Challenges and Expectations. In: Wulf, C. (eds) Handbook on Intangible Cultural Practices as Global Strategies for the Future. Heritage Studies. Springer, Cham. https://doi.org/10.1007/978-3-031-72123-6_2
• Xian, F. (2023). Quantifying the Economic Benefits of Artificial Intelligence Technology. Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China.
• Zhang, H. (2023). Research and practical exploration of new models of social governance in the age of artificial intelligence. SHS Web of Conferences, 179, 01017, 1-8.
• Zhao, Z., & Zhang, L. (2023). Design of artificial intelligence cultural creative industry based on machine learning. Soft Computing, 1-12.