Research article | Open Access
AI Research in Educational Leadership 2024, Vol. 1(1) 22-28
AI-Driven Technological Unemployment and the Role of Education
pp. 22 - 28 | DOI: https://doi.org/10.5281/zenodo.12543061
Publish Date: June 25, 2024 | Single/Total View: 1/2 | Single/Total Download: 1/2
Abstract
The goal of artificial intelligence (AI) is to simulate, and sometimes even surpass, human intelligence in order produces the best results. The unpredictability of AI growth means that certain harmful impacts are not being considered, which entails risks that in some circumstances could be viewed as threats. All agree that the impact of AI on the workforce is an undeniable fact. AI needs to be seen from a human-complementary standpoint to have a beneficial impact, that is, to maintain both productivity and the workforce. "What is the purpose and function of education?" is the question that now must be answered. Artificial intelligence education needs to support social life by utilizing AI to lower economic disparity and boost productivity. Education can help transform the workforce to fit the needs of the AI-based economy.
Keywords: Artificial intelligence, technological unemployment, education
APA 7th edition
Sincar, M. (2024). AI-Driven Technological Unemployment and the Role of Education. AI Research in Educational Leadership, 1(1), 22-28. https://doi.org/10.5281/zenodo.12543061
Harvard
Sincar, M. (2024). AI-Driven Technological Unemployment and the Role of Education. AI Research in Educational Leadership, 1(1), pp. 22-28.
Chicago 16th edition
Sincar, Mehmet (2024). "AI-Driven Technological Unemployment and the Role of Education". AI Research in Educational Leadership 1 (1):22-28. https://doi.org/10.5281/zenodo.12543061
- Abbott, R. & Bogenschneider, B. (2018). Should Robots Pay Taxes? Tax Policy in the Age of Automation. Harvard Law & Policy Review, 12, 145-175. https://dx.doi.org/10.2139/ssrn.2932483 [Google Scholar]
- Acemoğlu, D. & Restrepo, P. (2019). Automation and New Tasks: How Technology Displaces and Reinstates Labor. Journal of Economic Perspectives, 33(2), 3-30. DOI: 10.1257/jep.33.2.3 [Google Scholar]
- Acemoğlu, D. & Restrepo, P. (2020). Robots and Jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188-2244. DOI 10.3386/w23285 [Google Scholar]
- Acemoğlu, D. & Restrepo, P. (2022a). Demographics and automation. Review of Economic Studies, 89(1), 1-44. [Google Scholar]
- Acemoğlu, D. & Restrepo, P. (2022b). Tasks, automation, and the rise in U.S. wage inequality. Econometrica, 90(5), 1973-2016. https://doi.org/10.3982/ECTA19815 [Google Scholar] [Crossref]
- Acemoğlu, D., Autor, D & Johnson, S. (2023). Can We Have Pro-worker AI?: Choosing a Path of Machines in Service of Minds. Centre for Economic Policy Research. Retrieved from https://cepr.org/publications/policy-insight-123-can-we-have-pro-worker-ai-choosing-path-machines-service-minds [Google Scholar]
- Acemoğlu, D., Autor, D., Hazell, J. & Restrepo, P. (2022). Artificial Intelligence and Jobs: Evidence from online vacancies. Journal of Labor Economics, 40(1), 293-340. DOI: 10.1086/718327 Bordot, F. (2022). Artificial Intelligence, robots and unemployment: Evidence from OECD countries. Journal of Innovation Economics & Management, 37, 117-138. https://doi.org/10.3917/jie.037.0117 [Google Scholar] [Crossref]
- Brynjolfsson, E., Thierer, A. & Acemoğlu, D. (2024). Navigating the Future of Work: Perspectives on Automation, AI, and Economic Prosperity. AEI: American Enterprise Institute for Public Policy Research. United States of America. Retrieved from https://policycommons.net/artifacts/11764205/navigating-the-future-of-work/12655724/ CID: 20.500.12592/s4mwcsw [Google Scholar]
- Cazzaniga, M., Jaumotte, F., Li, L., Melina, G., Panton, A.J., Pizzinelli, C., Rockall, E. & Tavares, M.M. (2024). Gen-AI: Artificial Intelligence and the Future of Work. IMF Staff Discussion Note SDN2024/001, International Monetary Fund, Washington, DC. [Google Scholar]
- Crews, J. (2016). Robonomics: Prepare today for the jobless economy of tomorrow. CreateSpace Independent [Google Scholar]
- Deschacht, N. (2021). The digital revolution and the labour economics of automation: A review. ROBONOMICS: The Journal of the Automated Economy, 1, 8. Retrieved from https://journal.robonomics.science/index.php/rj/article/view/8 [Google Scholar]
- EIU. (2023). Why AI matters. Opportunities, risks, and matters. [Report]. Retrieved from https://www.eiu.com/n/campaigns/why-ai-matters-sep-2023 [Google Scholar]
- Guliyev, H. (2023). Artificial intelligence and unemployment in high-tech developed countries: New insights from dynamic panel data model. Research in Globalization, 7, 1-7. https://doi.org/10.1016/j.resglo.2023.100140 [Google Scholar] [Crossref]
- Haenlein, M. & Kaplan, A.J. (2019). A brief history of artificial intelligence: on the past, present, and future of artificial intelligence. California Management Review, 61(4), 5-14. [Google Scholar]
- Implement Consulting Group [IMC] (2023). The economic opportunity of generative AI in D9+. Retrieved from https://implementconsultinggroup.com/article/the-economic-opportunity-of-generative-ai-in-d9 [Google Scholar]
- Implement Consulting Group [IMC] (2024a). The economic opportunity of generative AI in Belgium. Retrieved from https://implementconsultinggroup.com/article/the-economic-opportunity-of-ai-in-belgium [Google Scholar]
- Implement Consulting Group [IMC] (2024b). The economic opportunity of generative AI in Finland. Retrieved from https://implementconsultinggroup.com/article/the-economic-opportunity-of-generative-ai-in-finland [Google Scholar]
- Implement Consulting Group [IMC] (2024c). The economic opportunity of generative AI in Estonia. Retrieved from https://implementconsultinggroup.com/article/the-economic-opportunity-of-generative-ai-in-estonia [Google Scholar]
- Ivanov, S. (2021). Robonomics: The rise of the automated economy. ROBONOMICS: The Journal of the Automated Economy, 1, 11. Retrieved from https://journal.robonomics.science/index.php/rj/article/view/11 [Google Scholar]
- Keynes, J. M. (1930) [1963]. Economic possibilities for our grandchildren. In J. M. Keynes (Ed), Essays in persuasion. W.W. Norton & Company. [Google Scholar]
- Korinek, A. & Stiglitz, J. (2019). 14. Artificial Intelligence and Its Implications for Income Distribution and Unemployment. In A. Agrawal, J. Gans & A. Goldfarb (Ed.), The Economics of Artificial Intelligence: An Agenda (pp. 349-390). Chicago: University of Chicago Press. https://doi.org/10.7208/9780226613475-016 [Google Scholar] [Crossref]
- Mutascu, M. (2021). Artificial intelligence and unemployment: New insights. Economic Analysis and Policy, 69, 653-667. [Google Scholar]
- OECD (2018). Putting the face behind the jobs at risk of automation. Policy Brief on the Future of Work. Paris: OECD. Retrieved from https://community.oecd.org/docs/DOC-132202 [Google Scholar]
- Peters, M.A., Jandrić, P. & Means, A.J. (2019). Introduction: Technological Unemployment and the Future of Work. In: Peters, M., Jandrić, P., Means, A. (eds) Education and Technological Unemployment. Springer, Singapore. https://doi.org/10.1007/978-981-13-6225-5_1 [Google Scholar] [Crossref]
- Pizzinelli, C., A. Panton, M. M. Tavares, M. Cazzaniga, & L. Li, (2023). Labor Market Exposure to AI: Cross-country Differences and Distributional Implication. IMF Wokring Paper 23/216 Schiff, D. (2022). Education for AI, not AI for education: The role of education and ethics in national AI policy strategies. International Journal of Artificial Intelligence in Education, 32, 527.563. https://doi.org/10.1007/s40593-021-00270-2 [Google Scholar] [Crossref]
- Trajtenberg, M. (2019). Artificial intelligence as the next GPT: A political-economy perspective. In: Agrawal, A., Gans, J., & Goldfarb, A. (Eds.). (2019). The economics of artificial intelligence: an agenda. University of Chicago Press. https://doi.org/10.7208/chicago/9780226613475.001.0001 [Google Scholar] [Crossref]
- WEF (2024). The global risk report. Retrieved from https://www.weforum.org/publications/global-risks-report 2024 [Google Scholar]
- WIPO (2019). WIPO technology trends 2019: Artificial intelligence. Geneva: World Intellectual Property Organization. [Google Scholar]
