Innovative value chain creation research according to AI jobs
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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.
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.
참고문헌 (22)
- "State of European Tech" (2017)[URL]
- "Data and Information Access Services" (2018)[URL]
- Daugherty, P. R., "Revisiting the Jobs Artificial Intelligence Will Create", MIT Sloan Management Review, 60(4), pp.1~8 (2019)
- "Responsible Research and Innovation: work stream" (2018)[URL]
- "the Tallinn Declaration" (2017)[URL]
- Frey, C. B., "The future of employment : how susceptible are jobs to computerization?", Technological forecasting and social change, 114, pp.254~280 (2013)
- Jones, M. L., "AI and the Ethics of Automating Consent", IEEE Security & Privacy, 16(3), pp.64~72 (2018)
- Kim, D. H., "Vector based 3D Emotion Expression for Emotion Robot", ACM International conference proceeding series, pp.113~117 (2019)
- Naqvi, A., "Responding to the will of the machine : Leadership in the age of artificial intelligence", Journal of Economics Bibliography, 4(3), pp.244~248 (2017)
- Mark P., "Why AI is the future of growth" (2016), Accenture
- Pfaff, C. A., "The Ethics of Acquiring Disruptive Technologies : Artificial Intelligence, Autonomous Weapons, and Decision Support Systems", a Journal of the Center for Complex Operations, 8(3), pp.128~145 (2020)
- Samuele, L. P., "Ethical principles in machine learning and artificial intelligence : cases from the field and possible ways forward", Palgrave Communications, 7(1), pp.1~6 (2020)
- 서대성, "EVs 산업의 시장파급과 상용화의 전략비교: 비셰그라드 그룹과 북유럽 협의체와의 산업역량중심으로", 산경연구논집, 9(3), pp.57~68 (2018), 한국유통과학회
- 서대성, "두바이 도시혁신에 따른 주변국가의 4차산업 혁신확산", 산경연구논집, 9(12), pp.55~61 (2018), 한국유통과학회
- Seo, D., "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), pp.1636~1642 (2019)
- 서대성, "A Study on the Autonomous Decision Right of Emotional AI based on Analysis of 4th Wave Technology Availability in the Hyper-Linkage", 융합정보논문지, 9(8), pp.9~19 (2019), 중소기업융합학회[DOI]
- 서대성, "자율주행시 안전을 위한 AI와 연계 시스템 적용연구", 한국융합학회논문지, 10(11), pp.95~100 (2019), 한국융합학회[DOI]
- Tang, G., "The Design and Evaluation of an Ergonomic Contactless Gesture Control System for Industrial Robots", Journal of Robotics (2018)
- Vochozka, M., "Participating in a highly automated society : how artificial intelligence disrupts the job market", Economics, Management and Financial Market, 13(4), pp.57~62 (2018)
- Wen, Xi., "3D long-term recurrent convolutional networks for human sub-assembly recognition in human-robot collaboration", Assembly Automation, 40(4), pp.655~662 (2020)
- Wu, X. ., "An elitist quantum inspired evolutionary algorithm for the flexible job shop scheduling problem", Journal of Intelligent Manufacturing, 28(6), pp.1441~1457 (2017)
- Kyung-Hee YOON, "The Effects of Job Crafting on Career Success of Multinational Corporations’ Employees", The Journal of Asian Finance, Economics and Business, 6(4), pp.213~225 (2019), 한국유통과학회