Journal of Information Technology Applications and Management

  • 제28권3호
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  • Pages.109-125
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  • 2021
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  • 1598-6284(pISSN)
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  • 2508-1209(eISSN)
한국데이터전략학회 (Korea Data Strategy Society)
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인지지도분석을 활용한 AI SW 인력양성 정책분석

Policy Analysis on AI SW Human Resources Development Using Cognitive Map Analysis

  • Lee, Jung Mann (Department of Management of Digital Technology, Hoseo University)
  • 투고 : 2021.06.09
  • 심사 : 2021.06.28
  • 발행 : 2021.06.30
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초록

For the government of president Moon's AI SW HRD policy, he proclaimed AI democracy that anyone can utilize artificial intelligence technology to spread AI education for the people of the country. Through cognitive map analysis, this study presents expected policy outcomes due to the input of policy factors to overcome crisis factors and utilize opportunity factors. According to the cognitive guidance analysis, first, the opportunity factor is recognized as accelerating the digital transformation to Covid 19 if AI SW HRD is well nurtured. Second, the crisis factor refers to the rapid paradigm shift caused by the intelligence information society, resulting in job losses in the manufacturing sector and deepening imbalance in manpower supply and demand, especially in the artificial intelligence sector. Third, the comprehensive cognitive map shows a circular process for creating an AI SW ecosystem in response to threats caused by untact caused by Corona and a circular process for securing AI talent in response to threats caused by deepening imbalance in manpower supply and demand in the AI sector. Fourth, in order to accelerate the digital circulation that has been accelerated by Corona, we found a circular process to succeed in the Korean version of digital new deal by strengthening national and corporate competitiveness through AI-utilized capacity and industrial and regional AI education. Finally, the AI utilization empowerment strengthening rotation process is the most dominant of the four mechanisms, and we also found a relatively controllable feedback loop to obtain policy outputs.

키워드

과제정보

This research was supported by the Academic Research Fund of Hoseo University in 2019 (2019-0839).

참고문헌

  1. Aju Economy, "Anyone can use AI technology"...President Moon, in Kwangju 'AI Democracy' Declaration, 2021. 2. 4.
  2. Axelrod, R., Structure of Decision : The Cognitive Maps of Political Elites, Princeton University Press, 1978.
  3. Chang, B. H., The success of Digital New Deal depends on AI SW HRD, dongA. com, 2020. 7. 8.
  4. Eden, C., "Cognitive mapping and problem structuring for system dynamics model building", System Dynamics Review, Vol. 10, No. 2-3, 1994, pp. 257-276. https://doi.org/10.1002/sdr.4260100212
  5. ETRI, Research on information security industry policy, 2016.
  6. Forrester, J. W., Industrial Dynamics, Cambridge, The MIT Press, 1961.
  7. IITP, Trends in HRD Policy in Response to the Fourth Industrial Revolution in Major Foreign Countries , Overseas ICT R&D Policy Trends, 2018, pp. 1-34.
  8. Jointly related ministries, A Plan to Spread AI SW Education to All Koreans , I-KOREA 4.0 Realizing a people-centered Fourth Industrial Revolution, 2020. 8.
  9. Jointly related ministries, Support Plan for ICT Human Resources Growth in Response to the Fourth Industrial Revolution , I-KOREA 4.0 HRD Action Plan, 2018. 11.
  10. Kim, C. W., "Policy design plan based on system thinking : for prevention to policy adverse effect", SERI, 2008.
  11. Kim, D. H. and Ahn, J. Y., "Cognitive map analysis of president Lee on the Policy of Green Growth", Journal of Korea System Dynamics, Vol. 10, No. 4, 2009, pp. 39-51.
  12. Kim, D. H., "Lesson from system thinking on real estate policy", Journal of Korea System Dynamics, Vol. 8, No. 1, 2007, pp. 187-209.
  13. Kim, D. H., "Policy dilemma analysis using casual map : IMP preparation plan of President Kim, Daejoong", Journal of Korean Public Administration, Vol. 33, No. 4, 1999, pp. 279-296.
  14. Kim, D. H., "Policy dilemma in green growth : cognitive map approach", Korea System Dynamics Review, Vol. 11, No. 2, 2010, pp. 29-44.
  15. Kim, D. H., "Secured value and policy dilemma", Journal of Korean Policy, Vol. 11, No. 1, 2002, pp. 27-52.
  16. Kim, Y. M., "Artificial Intelligence(AI) HRD Policies and Implications for Major Countries", KhiDI, 2019, pp. 1-20.
  17. KISDI, Comparison and implications of policies to secure AI talent for the U.S., China and Japan , AI Trend Watch, 2020, pp. 1-13.
  18. Korea Advanced Institute of Industrial Technology, Demand Forecast for Future Automotive Industry Technology Workers, http://www.motie.go.kr/motiee/presse/press2/bbs/bbsView.do?bbs_seq_n=159278&bbs_cd_n=81, 2017.
  19. Korea Economic Daily, 1.5 million IT staff short next year..."AI talent with a high salary", 2021. 5. 3.
  20. Korea Economic Daily, Korean Digital New Deal meet Korean Artificial intelligence, 2020. 11. 25.
  21. KT Economics and Business Research Institute, 2020 Big Change, 2019.
  22. Lee et al., "A Study on the Development of SW Human Resources Development Model using SCM Model", Journal of Technological Innovation, Vol. 10, No. 1, 2007, pp. 22-46.
  23. Lee, J. and Cho, I., "Priority derivation of policy plans for ICT SMEs and ventures' globalization", The Journal of Digital Convergence, Vol. 12, No. 6, 2014, pp. 13-22. https://doi.org/10.14400/JDC.2014.12.6.13
  24. Lee, J. and Hwang, G., "Cognitive map analysis on the policy of SMEs and ventures in the field of information technology", Journal of Korea Contents, Vol. 13, No. 11, 2013, pp. 347-355.
  25. Lee, J. M. and Rim, M. H., "Derivation of creative SW HRD policy using AHP", Journal of Digital Policy, Vol. 11, No. 10, 2013, pp. 95-102.
  26. Lee, J. M., Cho, I. G., and Rim, M. H., "Strategies for Revitalizing the Information Security Industry using Cognitive Map Analysis", Journal of Information Technology Applications and Management, Vol. 23, No. 2, 2016, pp. 177-194. https://doi.org/10.21219/jitam.2016.23.2.177
  27. LG Economy Research Institute, Job risk assessment by Artificial intelligence, 2018, 5. 15.
  28. McKinsey Global Institute, JOBS LOST, JOBS GAINED : Workforce Transitions in a Time of Automation, 2017.
  29. McKinsey Global Institute, Notes From The AI frontier : Modelling The Impact of AI on The World Economy, 2019.
  30. Ministry of Science and ICT, Informatization Statistics Survey on Year 2019, 2020, 1. 21.
  31. Seo et al., "Exploratory study on information security HRD", Journal of Information System, Vol. 24, No. 2, 2015, pp. 73-96. https://doi.org/10.5859/KAIS.2015.24.2.73
  32. Shin, J. W., Kwon, J. W., and Lee, J. M., "Study on policy model for foreign HR scouting and utilization", Journal of Korea Contents, Vol. 10, No. 3, 2010, pp. 1-12.
  33. SW Policy Research Institute, Prospects for future jobs in promising SW sectors , Issue Report 2018-001, 2018, pp. 1-22,
  34. White, P. A., "Naive ecology : Causal judgements about a simple ecosystem", British Journal of Psychology, Vol. 88, 1997, pp. 219-233. https://doi.org/10.1111/j.2044-8295.1997.tb02631.x
  35. Wolstenholme, E. F., System Enquiry : A System Dynamics Approach, John Wiley & Sons, 1990.
  36. World Economic Forum, New vision for education : Fostering social and emotional learning through technology, Colony/Geneva : World Economic Forum, 2016.
  37. YTN News, Science Times, http://www.sciencetime.co.kr/ip=216227, 2021. 1. 8.