A mesterséges intelligencia munkaerő-piaci hatásai
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DOI:
https://doi.org/10.14267/VEZTUD.2022.02.06Kulcsszavak:
technológiai munkanélküliség, mesterséges intelligencia, alapjövedelem, automatizáció, szcenárió, munkaerő-polarizációAbsztrakt
A mesterséges intelligencia (MI) jelentősen átalakítja a munkaerőpiacot, mely szinte észrevétlenül zajlik napjainkban. Az üzleti tanácsadó cégek és a technológiai cégek együttesen ösztönzik az MI-megoldások terjedését, azok vitathatatlan előnyeire hivatkozva. Azonban magával az MI fogalmával kevesen vannak tisztában. Továbbá a munkaerő-piaci hatások sem egyértelműek. Ezért a szerzők szisztematikus szakirodalmi áttekintésük során e kutatási rés betöltésére, és további kutatások megalapozására törekedtek. Eredményeik részletesen bemutatják a technológiai munkanélküliség (f)okozóit, illetve azokat a mechanizmusokat, amelyek azt önműködő módon, vagy éppen tudatos beavatkozással ellensúlyozhatják. Elengedhetetlen az MI hatásaira mind egyéni, mind vállalati, mind kormányzati szinten már most felkészülni, ebben segít a jelen cikk.
Letöltések
Hivatkozások
Acemoglu, D. (2000). Technical change, inequality, and the labor market (Working paper, 7800) [online]. Cambridge, MA: National Bureau of Economic Research. https://doi.org/10.3386/w7800
Acemoglu, D., & Autor, D. (2010). Skills, tasks and technologies: implications for employment and earnings (Working paper, 16082) [online]. Cambridge, MA: National Bureau of Economic Research. https://doi.org/10.3386/w16082
Acemoglu, D., & Restrepo, P. (2018a). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488-1542. https://doi.org/10.1257/aer.20160696
Acemoglu, D., & Restrepo, P. (2018b). Artificial intelligence, automation and work (Working paper, 24196). Cambridge, MA: National Bureau of Economic Research. https://www.nber.org/system/files/working_ papers/w24196/w24196.pdf
Ackerman, B., & Alstott, A. (2004). Why stakeholding? Politics & Society, 32(1), 41-60. https://doi.org/10.1177/0032329203261096
Ahlqvist, T. (2005). From information society to biosociety? On societal waves, developing key technologies, and new professions. Technological Forecasting and Social Change, 72(5), 501-519. https://doi.org/10.1016/j.techfore.2004.06.001
Allen, R. C. (2017). Lessons from history for the future of work. Nature, 550(Oct), 321-324. https://doi.org/10.1038/550321a
Arnold, T., & Scheutz, M. (2018). The “big red button” is too late: an alternative model for the ethical evaluation of AI systems. Ethics and Information Technology, 20(1), 59-69. https://doi.org/10.1007/s10676-018-9447-7
Arntz, M., Gregory, T., & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis (No. 189) [online]. Paris: OECD Social, Employment and Migration Working Papers. https://doi.org/10.1787/5jlz9h56dvq7-en
Asimov, I. (1991) Én, a robot. Budapest: Móra.
Autor, D. (2010). The Polarization of Job Opportunities in the U.S. Labor Market [online]. Cambridge, MA: MIT Department of Economics and National Bureau of Economic Research. https://economics.mit.edu/files/5554
Autor, D. H. (2015). Why are there still so many jobs? Journal of Economic Perspectives, 29(3), 3-30. https://doi.org/10.1257/jep.29.3.3
Barczi, G., & Országh, L. (1966). A magyar nyelv értelmező szótára. Budapest: Akadémiai Kiadó.
Barr, A., & Feigenbaum, E. A. (Eds.) (2014). The Hand- book of Artificial Intelligence: Volume 2. Oxford: Butterworth-Heinemann.
Baum, S. D., Goertzel, B., & Goertzel, T. G. (2011). How long until human-level AI? Results from an expert assessment. Technological Forecasting and Social Change, 78(1), 185-195. https://doi.org/10.1016/j.techfore.2010.09.006
Bergman, B. (2004). A swedish-style welfare state or basic income? Politics & Society, 32(1), 107-118. https://doi.org/10.1177/0032329203261101
Bergstein, B. (2018). The great AI paradox. MIT Technology Review, 121(Dec), 76-80. https://www.technologyreview.com/2017/12/15/146836/the-great-ai-paradox/
Berman, M. (2018). Resource rents, universal basic income, and poverty among alaska’s indigenous peoples. World Development, 106(June), 161-172. https://doi.org/10.1016/j.worlddev.2018.01.014
Bond H. Alan, & Gasser Les (Eds.). (1988), Readings in Distributed Artificial Intelligence. Amsterdam: Morgan Kaufmann. https://doi.org/10.1016/c2013-0-07700-6
Boring, E. G. (1923). Intelligence as the tests test it. New Republic, 35(6), 35-37. https://brocku.ca/MeadProject/sup/Boring_1923.html
Bowles, J. (2014). The computerisation of European jobs [online]. Bruegel. https://www.bruegel.org/2014/07/the-computerisation-of-european-jobs/
Coates, J. F. (2016). Readying children for the future. Technological Forecasting and Social Change, 113(Dec), 89-93. https://doi.org/10.1016/j.techfore.2016.10.041
Chow, K. W., & Wong, K. P. (1999). Comment: Further sufficient conditions for an inverse relationship between productivity and employment. Quarterly Review of Economics and Finance, 39(4), 565–571. https://doi.org/10.1016/s1062-9769(99)00040-x
Crawford, K., & Calo, R. (2016). There is a blind spot in AI research. Nature, 538, 311-313. https://doi.org/10.1038/538311a
David, B. (2017). Computer technology and probable job destructions in Japan: An evaluation. Journal of the Japanese and International Economies, 43, 77–87. https://doi.org/10.1016/j.jjie.2017.01.001
Davis, R. (1998). What Are Intelligence? And Why? 1996 AAAI Presidential Address. AI Magazine, 19(1), 91– 111. https://doi.org/doi.org/10.1609/aimag.v19i1.1356
DeCanio, S. J. (2016). Robots and humans – Complements or substitutes? Journal of Macroeconomics, 49, 280- 291. https://doi.org/10.1016/j.jmacro.2016.08.003
Decker, M., Fischer, M., & Ott, I. (2016). Service robotics and human labor: A first technology assessment of substitution and cooperation. Robotics and Autonomous Systems, 87(Jan), 348–354. https://doi.org/10.1016/j.robot.2016.09.017
Degryse, C. (2016). Digitalisation of the Economy and its Impact on Labour Markets [online]. ETUI Research Paper. https://doi.org/10.2139/ssrn.2730550
Dengler, K., & Matthes, B. (2018). The impacts of digital transformation on the labour market: Substitution-potentials of occupations in germany. Technological Forecasting and Social Change, 137(Dec), 304-316. https://doi.org/10.1016/j.techfore.2018.09.024
Dirican, C. (2015). The impacts of robotics, artificial intelligence on business and economics. Procedia – Social and Behavioral Sciences, 195(July), 564-573. https://doi.org/10.1016/j.sbspro.2015.06.134
Ernst & Young (2017). Intelligent automation – reshaping the future of work with robots.
Fadel, C. (2014). Hype vs reality: A Roundtable Discussion on the Impact of Technology and Artificial Intelligence on Employment [online].
Fadel, C., Trilling, B., & Bialik, M. (2015). Four-dimensional education: The competencies learners need to succeed. New York: CreateSpace Independent Publishing Platform.
Frey, C. B., & Osborne, M. A. (20137). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114(Jan), 254-280. https://doi.org/10.1016/j.techfore.2016.08.019
Garcia-Murilloa, M., MacInnes, I., & Bauer, J. M. (2018). Techno-unemployment: A framework for assessing the effects of information and communication technologies on work. Telematics and Informatics, 35(7). https://doi.org/10.1016/j.tele.2018.05.013
Gill, P., Marrin, S., & Phythian, M. (Eds.). (2008). Intelligence Theory: Key questions and debates. London: Routledge.
Glenn, J., & Gordon, T. J. (2004). Future S&T management policy issues – 2025 global scenarios. Technological Forecasting and Social Change, 71(9), 913- 940. https://doi.org/10.1016/j.techfore.2003.12.005
Goldin, I. (2017). The second renaissance. Nature, 550(Oct), 327-329. https://doi.org/10.1038/550327a
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
Gumbel, P. (Ed.) (2017). Jobs lost, jobs gained: work- force transitions in a time of automation [on- line]. McKinsey Global Institute.
Harari, Y. N. (2017). Reboot for the AI revolution. Nature, 550(Oct), 324-327. https://doi.org/10.1038/550324a
Haton, J. P. (2006). A brief introduction to artificial intelligence. IFAC Proceedings Volumes, 39(4), 8-16. https://doi.org/10.3182/20060522-3-FR-2904.00003
Hirsch-Kreinsen, H. (2016). Digitization of industrial work: development paths and prospects. Journal for Labour Market Research, 49(1), 1-14. https://doi.org/10.1007/s12651-016-0200-6
Hortoványi, L. (2016). The Dynamic Nature of Competitive Advantage of the Firm. Advances in Economics, 4(11), 624-629. https://doi.org/10.13189/aeb.2016.041109
Hortoványi, L. & Ferincz, A. (2014). Munkahelyi tanulást befolyásoló tényezők – Humán-számítógép együttműködés vizsgálata. Vezetéstudomány, 45(10), 30-41. http://doi.org/10.14267/VEZTUD.2014.10.03
Hortoványi, L., & Ferincz, A. (2015). The impact of ICT on learning on-the-job. The Learning Organization, 22(1), 2-13. https://doi.org/10.1108/TLO-06-2014-0032
Hughes, J. J. (2014). A strategic opening for a basic income guarantee in the global crisis being created by AI, robots, desktop manufacturing and biomedicine. Journal of Evolution and Technology, 24(Febr), 45-61.
Hutter, M. (2004). Universal artificial intelligence: Sequential decisions based on algorithmic probability. Cham: Springer Science & Business Media.
Jackson, P. & Al-Kofahi, K. (2011). Human expertise and artificial intelligence in legal search. In Geist, A., Brunschwig, C.R., Lachmeyer, F., & Schefbeck, G. (Eds.), Strukturierung der Juristischen Semantik— Structuring Legal Semantics (pp. 417-427). Bern: Editions Weblaw.
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577-586. https://doi.org/10.1016/j.bushor.2018.03.007
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4), 230-243. https://doi.org/10.1136/svn-2017-000101
Kangas, O., Jauhiainen, S., Simanainen, M., & Ylikännö, M. (2019). The basic income experiment 2017–2018 in Finland. Preliminary results [online]. http://julkaisut.valtioneuvosto.fi/handle/10024/161361
Kim, Y. J., Kim, K., & Lee, S. (2017). The rise of technological unemployment and its implications on the future macroeconomic landscape. Futures, 87(March), 1-9. https://doi.org/10.1016/j.futures.2017.01.003
KPMG. (2017). Accelerating automation [online]. https://home.kpmg/content/dam/kpmg/my/pdf/accelerating-automation-plan-your-faster-smoother-journey.pdf
Lee, J. J., Cyranoski, D., Gibney, E., Tollefson, J., Padma, T. V., Schiermeier, Q., & Nordling, L. (2016). Is science only for the rich? Nature, 537(Sept), 466-470. https://doi.org/10.1038/537466a
Levesque, H. J. (2017). Common sense, the turing test and the quest for real AI. Cambridge, MA: MIT Press. Loi, M. (2015). Technological unemployment and human disenhancement. Ethics and Information Technology, 17(Sept), 201-210. https://doi.org/10.1007/s10676-015-9375-8
Luger, F. G. (2005). Artificial Intelligence: Structures and Strategies for Complex Problem Solving. Harlow: Pearson.
Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. Journal of Business Research, 120(Nov), 262–273. https://doi.org/10.1016/j.jbusres.2020.07.045
Makó, C., Illéssy, M., & Pap, J. (2020). Munkavégzés a platformalapú gazdaságban. A foglalkoztatás egy lehetséges modellje? Közgazdasági Szemle, 67(11), 1112–1129. https://doi.org/10.18414/ksz.2020.11.1112
Makridakis, S. (2017). The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms. Futures, 90(June), 46-60. https://doi.org/10.1016/j.futures.2017.03.006
McKinsey. (2019). Driving impact at scale from automation and AI [online]. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/driving-impact-at-scale-from-automation-and-ai#
Mitchell, T., & Brynjolfsson, E. (2017). Track how technology is transforming work. Nature, 544(April), 290- 292. https://doi.org/10.1038/544290a
Mortensen, J., & Vilella-Vila, M. (2012). The future of employment supply and demand in social europe. Futures, 44(7), 671–677. https://doi.org/10.1016/j.futures.2012.04.006
Nam, T. (2019). Technology usage, expected job sustainability, and perceived job insecurity. Technological Forecasting and Social Change, 138(January), 155- 165. https://doi.org/10.1016/j.techfore.2018.08.017
Negnevitsky, M. (2005). Artificial intelligence: a guide to intelligent systems. Harlow: Pearson Education. Nilsson, N. J. (2010). The Quest for Artificial Intelligence: A History of Ideas and Achievements [online]. https://ai.stanford.edu/~nilsson/QAI/qai.pdf
Pantea, S., Sabadash, A., & Biagi, F. (2017). Are ict displacing workers in the short run evidence from seven european countries. Information Economics and Policy, 39(June), 36-44. https://doi.org/10.1016/j.infoecopol.2017.03.002
Parijs, P. V. (2003). Basic income: A simple and powerful idea for the 21st century. Politics & Society, 32(1), 7-39. https://doi.org/10.1177/0032329203261095
Pateman, C. (2003). Democratizing citizenship: Some advantages to basic income. Politics & Society, 32(1), 89-105. https://doi.org/10.1177/0032329203261100
Pianta, M., & Vivarelli, M. (2000). Unemployment, structural change and globalization [online]. International Labour Organization. http://training.itcilo.it/actrav_cdrom1/english/global/art/9.htm
Pistono, F., & Yampolskiy, R. V. (2016). Unethical research: How to create a malevolent artificial intelligence. In Ethics for Artificial Intelligence Workshop (pp. 1-7). New York. https://arxiv.org/ftp/arxiv/papers/1605/1605.02817.pdf
Poole, D., & Mackworth, A. (2010). Artificial Intelligence: Foundations of Computational Agents. Cambridge: Cambridge University Press.
Poole, D.; Mackworth, A. & Goebel, R. (1998). Computational Intelligence: A Logical Approach. New York: Oxford University Press.
Pueyo, S. (2016). Growth, degrowth, and the challenge of artificial superintelligence. Journal of Cleaner Production, 197(Oct), 1731-1736. https://doi.org/10.1016/j.jclepro.2016.12.138
Rhisiart, M., Störmer, E., & Daheim, C. (2016). From foresight to impact? The 2030 future of work scenarios. Technological Forecasting and Social Change, 124(Nov), 203-213. https://doi.org/10.1016/j.techfore.2016.11.020
Russell, S. (2016). Should we fear supersmart robots? Scientific American, 2016(June), 58-59. https://doi.org/10.1038/scientificamerican0616-58
Russell, S. & Norvig, P. (2005). Mesterséges intelligencia: Modern megközelítésben. Budapest: Panem Kft.
Samuelson, P. A. & Nordhaus, W. D. (1993). Közgazdaságtan I. Alapfogalmak és makroökonómia. Budapest: Közgazdasági és Jogi Könyvkiadó.
Sántáné-Tóth, E., Bíró, M., Gábor, A., Kő, A., & Lovrics, L. (2008). Döntéstámogató rendszerek. Budapest: Panem Könyvkiadó.
Segal, M. (2018). Automatic pilots – more robotics and artificial intelligence in the workplace doesn’t have to destroy your job. Nature, 563(Nov), 132-135. https://doi.org/10.1038/d41586-018-07501-y
Silva, H. C., & Lima, F. (2017). Technology, employment and skills: A look into job duration. Research Policy, 46(8), 1519–1530. https://doi.org/10.1016/j.respol.2017.07.007
Szabó, Zs. R. (2008). Adaptációs stratégiák a kialakuló bioethanol-iparágban. Vezetéstudomány, 40(4), 28-42. http://unipub.lib.uni-corvinus.hu/4029/1/vt2008n11p54-63.pdf
Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. New York: Knopf.
Titan, E., Burciua, A., Manea, D., & Ardelean, A. (2014). From traditional to digital: The labour market demands and education expectations in an EU context. Procedia Economics and Finance, 10, 269 – 274. https://doi.org/10.1016/S2212-5671(14)00302-5
Wang, P. (2019). On Defining Artificial Intelligence. Journal of Artificial General Intelligence, 10(2), 1–37. https://doi.org/10.2478/jagi-2019-0002
Warner, M. (2008). Intelligence as risk shifting. In Peter Gill, Stephen Marrin, & Mark Phythian (Eds.), Intelligence Theory (pp. 30-46). London: Routledge.
Webster, J. & Watson, R. T. (2002) Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly, 26(2), 13-23. https://doi.org/10.1.1.104.6570.
Wilson, J., Daugherty, P., & Morini-Bianzino, N. (2017). The jobs that artificial intelligence will create: A global study finds several new categories of human jobs emerging, requiring skills and training that will take many companies by surprise. MIT Sloan Management Review, 58(Summer), 14-16.
Winick, E. (2018). Every study we could find on what automation will do to jobs, in one chart [online]. MIT Technology Review, 2018(Jan)
Wisskirchen, G., Biacabe, B. T., Bormann, U., Muntz, A., Niehaus, G., Soler, G. J., & Brauchitsch, B. von. (2017). Artificial Intelligence and Robotics and Their Impact on the Workplace. London: IBA Global Employment Institute (GEI).
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