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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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Innovative value chain creation research according to AI jobs

Innovative value chain creation research according to AI jobs

The Journal of Industrial Distribution & Business(JIDB) / The Journal of Industrial Distribution & Business, (E)2233-5382
2020, v.11 no.10, pp.7-16
https://doi.org/https://doi.org/10.13106/jidb.2020.vol11.no10.7
SEO, Dae-Sung (Division of Paideia, Sungkyul University)
SEO, Byeong-Min (Division of Paideia, Sungkyul University)

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

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The Journal of Industrial Distribution & Business(JIDB)