- Apply for Authority
- E-ISSN2233-5382
- KCI
E-ISSN : 2233-5382
Innovative value chain creation research according to AI jobs
SEO, Byeong-Min
- Downloaded
- Viewed
Abstract
Purpose: It suggests that making a policy and strategies in a way of AI and its impact of commercialization on economic efficiency, social custom ethics. Research design, data, and methodology: The paper has analyzed the data based on the proposed model when derived as AI vs. FI job, etc. It is very different for each professional evaluation, which is artificial intelligence or robot job. One concept case was selected as a substitute job, with a relatively low level of occupation ability, such as direct labors, easily replaced. By the induction data has resulted in modeling. Results: The paper suggests that AI at high level become something how to make real decisions on ethical value modeling. Through physical simulation with the deduction data, it can be tuned to design and control what has not been solved, from human senses to climate. Conclusion: For the exploiting of new AI decision-making jobs in markets, the deduction data is possible to prove to AI's Decision-making that the percentage who can easily have different leadership as is different for each person. what is generated by some information silos may be applied to occupation societies. The empirical results indicate the deduction data that if AI determines ethical decisions (VC) for that modifications, it may replace future jobs.
- keywords
- AI, 4th wave, Occupation, Venture, Decision-making, Value chain, Ethics
Reference
Atomico (2017). State of European Tech, R etrieved from https://ec.europa.eu/education/sites/education/files/digital education action plan.pdf.
Copernicus (2018). Data and Information Access Services Retrieved from http://copernicus.eu/news/upcoming copernicus data and information access services dias.
Daugherty, P.R., & Wilson, H. J., & Michelman, P. (2019). Revisiting the Jobs Artificial Intelligence Will Create. MIT Sloan Management Review 60 (4), 1-8.
European Commission (2018). Responsible Research and Innovation: work stream , Retrieved from https://ec.europa.eu/programmes/horizon2020/en/h2020 section/responsible research innovation
European Commission (2017). the Tallinn Declaration , Retrieved from https://ec.europa.eu/digital single market/en/news/ministerial declaration egovernment tallinn declaration.
Frey, C.B., & Osborne, M.A. (2013). The future of employment: how susceptible are jobs to computerization?, Technological forecasting and social change, 114 , 254-280.
Jones, M. L., & Kaufman, E., & Edenberg, E. (2018). AI and the Ethics of Automating Consent. IEEE Security & Privacy. 16 (3), 64-72.
Kim, D.H., & Seo, D.S. (2019). Vector based 3D Emotion Expressio n for Emotion Robot ACM International conference proceeding series F147614, 113-117.
Naqvi, A. (2017). Responding to the will of the machine: Leadership in the age of artificial intelligence. Journal of Economics Bibliography, 4 (3), 244-248.
Mark P., & Paul D. (2016). Why AI is the future of growth , Accenture : Newyork.
Pfaff, C. A.(2020). The Ethics of Acquiring Disruptive Technologies: Artificial Intelligence, Autonomous Weapons, and Decision Support Systems. a Journal of the Center for Complex Operati ons, 8 (3), 128-145.
Samuele, L. P. (2020). Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward. Palgrave Communications, 7 (1), 1-6.
Seo, D.S. (2018). Strategy of Market Spread Commercialization in EVs Industry: Visegrad and Nordic Countries. The International Journal of Industrial Distribution & Business, 9 (3), 57-68.
Seo, D.S., & Kim, D.H. (2019). The innovation diffusion and neighbors in the 4th wave through Dubai city . JIDB , 9(12), 55-61.
Seo , D. (2019). Strategic planning of AI research through analysis of economic and social impact on 4th wave. Journal of Advanced Research in Dynamical and Control Systems, 11 (7) Special Issue, 1636-1642
Seo, D.S. (2019). A Study on the Autonomous Decision Right of Emotional AI based on Analysis of 4th Wave Technology Availability in the Hyper Linkage JCIT ,9 (8) 9-19.
Seo, D.S. (2019). A Study on the Application of AI and Linkage System for Safety in the Autonomous Driving Journal of the Korea Convergence Society , 10 (11), 95-100.
Tang, G.& Webb, P.(2018). The Design and Evaluation of an Ergonomic Contactless Gesture Control System for Industrial Robots. Journal of Robotics ; New York.
Vochozka, M., & Kliestik, T., & Kliestikova, J., & Sion, G. (2018). Participating in a highly automated society: how artificial intelligence disrupts the job market. Economics, Management and Financial Market. 13 (4), 57-62.
Wen, Xi., & Chen, H. (2020). 3D long-term recurrent convolutional networks for human sub-assembly recognition in human-robot collaboration Assembly Automation, 40 (4), 655-662.
Wu, X .., & Wu, S. (2017). An elitist quantum inspired evolutionary algorithm for the flexible job shop scheduling problem. Journal of Intelligent Manufacturing, 28 (6), 1441-1457.
Yoon, K.H., & Kim, B. Y., & EOM, J.G. (2017). The Effects of Job Crafting on Career Success of Multinational Corporations’ Employees The Journal of Asian Finance, Economics and Business , 6 (4), 213-225.
- Downloaded
- Viewed
- 0KCI Citations
- 0WOS Citations