ANALYSIS OF ARTIFICIAL INTELLIGENCE AND AUTOMATION AND ROBOTISATION OF PROCESSES AS FACTORS INFLUENCING STRUCTURAL CHANGES IN EMPLOYMENT IN INDUSTRIAL PRODUCTION

  • Arkadiusz Sylpaczuk Faculty of Economics, University of Gdansk
  • Michał Żynda Faculty of Economics, University of Gdansk https://orcid.org/0000-0002-6920-6504
Keywords: labour productivity, artificial intelligence, robotization and automatization

Abstract

Objective Determining impact which Artificial Intelligence, Robotization and Automation have and will continue to have on the labour market in the processing industry.  

Method Literature review, statistical data and data from industry reports. Deduction and comparative analysis. 

Results In the course of the work, a review of the literature on the subject was carried out and the issue of artificial intelligence, as well as robotization and automation of production was defined, and in addition, it has been demonstrated how important factor of production is labour. It presents examples of the use of artificial intelligence in the modern economy and presents the probability of replacing human work by artificial intelligence systems. Data from research reports and statistical analyses were used in the context of labour market analysis in industries and economies with the highest degree of automation and robotization. Conclusions were presented, which implement the set objective and are the basis for conducting research in the areas indicated by the authors.  

In the course of work, we defined what the labour is, its productivity and measurement methods. Data from research reports were presented, showing the probability of changes in the labour market in relation to specific occupations, due to the use of artificial intelligence. The relationship between artificial intelligence and process automation and robotization is described. The above-mentioned studies allowed the authors to demonstrate some important relations between the described factors. 

Keywords: labour productivity, artificial intelligence, robotization and automation 

JEL Classification: J01, O12, O30 

References

Acemoglu, D., Autor D. (2011), Skills, tasks and technologies: Implications for employment and earnings.Handbook of labor economics, vol. 4.

Begg D., Fischer S., Dornbusch R. (2003), Makroekonomia, PWE, Warszawa.

Belda I. (2012), Umysł, maszyny i matematyka: sztuczna inteligencja i wyzwania, które przed nią stoją, Buka Books Sławomir Chojnacki, Warszawa.

Cawsey A. (1998), The essence of artificial intelligence, Prentice Hall, London.

Frey C.A., Osborne M.A. (2013), The future of employment: how susceptible are jobs to computerisation?, DOI: 10.1016/j.techfore.2016.08.019.

Grace K., Salvatier J., Dafoe A., Zhang B., Evans O., (2017), When Will AI Exceed Human Performance? Evidence from AI Experts.,arXiv:1705.08807

Hall R. E., Taylor J. B. (2000), Makroekonomia, PWN, Warszawa.

Kątowski T. (2009), Podstawowy wykład z mikroekonomii, Wydawnictwo UG, Gdańsk.

Keynes, J.M. (1930), Economic possibilities for our grandchildren.,in:Essays in Persuasion, W. W. Norton & Co., 1963 New York, pp. 358-373.

Kost G., Łebkowski P., Węsierski Ł. N. (2013), Automatyzacja i robotyzacja procesów produkcyjnych, PWE, Warszawa.

Łapiński K., Peterlik M., Wyżnikiewicz B. (2015), Wpływ robotyzacji na konkurencyjność polskich przedsiębiorstw, Raport IBnGR, Warszawa.

Menes M. (2012), Historia i współczesność motoryzacji japońskiej, in: Biuletyn Informacyjny Instytutu Transportu Samochodowego, Zeszyt 6 (54), s. 14-30, Warszawa

Smith A. (2007), Badania nad naturą i przyczynami bogactwa narodów Tom 1, PWN, Warszawa.

Smith R. (1990), Collins dictionary of Artificial Intelligence, Glasgow, London.

Walsh T. (2018), To żyje!: sztuczna inteligencja od logicznego fortepianu po zabójcze roboty, Wydawnictwo Naukowe PWN, Warszawa.

[I] http://wyborcza.biz/biznes/1,147749,19802966,27-euro-za-kilogram-statku-w-polsce-to-rekord.html?disableRedirects=true [13.09.2018].

[II] http://www.cennik-budowlany.pl/ksztaltowniki_stalowe_i_druty.html [13.09.2018].

[III] http://cnc.pl/porownanie-konwencjonalne-a-cnc.php [13.09.2018].

[IV] http://www.pzpm.org.pl/content/download/6351/31761/file/Raport_PZPM_2015.pdf [15.01.2019].

[V] https://researcher.watson.ibm.com/researcher/view_group.php?id=8432 [15.09.2018].

[VI] https://web.stanford.edu/group/nasslli/courses/boutilier/Lecture1.pdf [8.01.2019].

[VII] http://wiadomosci.gazeta.pl/wiadomosci/1,114873,4663222.html [15.09.2018].

[VIII] https://www.digitaltrends.com/cool-tech/japanese-robot-cafe-dawn/?fbclid=IwAR2ATr9lKSwJQP551JGTCSAxxtA9NM4YQnaWzGkL2Fy0MEo5sKsEhJX86Jc [15.12.2018].

[IX] https://electrek.co/2016/07/31/tesla-gigafactory-robots-machines-battery-factory/ [15.08.2018].
Published
2019-03-31
How to Cite
Sylpaczuk, A., & Żynda, M. (2019). ANALYSIS OF ARTIFICIAL INTELLIGENCE AND AUTOMATION AND ROBOTISATION OF PROCESSES AS FACTORS INFLUENCING STRUCTURAL CHANGES IN EMPLOYMENT IN INDUSTRIAL PRODUCTION. Contemporary Economy, 10(1 (32), 9-20. https://doi.org/10.26881/wg.2019.1.02