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Innovative value chain creation research according to AI jobs KCI 등재

  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/400359
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산경연구논집 (JIDB) (산경연구논집)
한국유통과학회 (Korea Distribution Science Association)
초록

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.

목차
Abstract
1. Introduction 
 1.1 Job structure in super network society
 1.2 The mission of digital Europe
2. Literature Review Model and Proposition
 2.1. Precedent research of Robot Industrial Ethics
 2.2. Establishment of Propositions
3. Research and characteristics of the hyperlinked Europe
 3.1 Ensure free ethics of personal data
4. Research Results of 4th wave on Science Strategy POLICY
5. Korea perspective
 5.1. Reorganization of cities and professions of science innovation
 5.2 Korea's replacement rate for AI ethics
6. Conclusions
References
저자
  • Dae-Sung SEO(Division of Paideia, Sungkyul University)
  • Byeong-Min SEO(Division of Paideia, Sungkyul University) Corresponding Author