• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Development of Measurement Indicators by Type of Risk of AI Robots


Hyun-kyoung Song, Journal of Internet Computing and Services, Vol. 25, No. 4, pp. 97-108, Aug. 2024
10.7472/jksii.2024.25.4.97, Full Text:
Keywords: AI robot, AI Robot Risk Measurement Model, AI robot measurement indicators, AI Ethical Principles, Robot ethics

Abstract

Ethical and technical problems are becoming serious as the industrialization of artificial intelligence robots becomes active, research on risk is insufficient. In this situation, the researcher developed 52 verified indicators that can measure the body, rights, property, and social risk of artificial intelligence robots. In order to develop measurement indicators for each type of risk of artificial intelligence robots, 11 experts were interviewed in-depth after IRB deliberation. IIn addition, 328 workers in various fields where artificial intelligence robots can be introduced were surveyed to verify their fieldwork, and statistical verification such as exploratory factor analysis, reliability analysis, correlation analysis, and multiple regression analysis was verifyed to measure validity and reliability. It is expected that the measurement indicators presented in this paper will be widely used in the development, certification, education, and policies of standardized artificial intelligence robots, and become the cornerstone of the industrialization of artificial intelligence robots that are socially sympathetic and safe.


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Cite this article
[APA Style]
Song, H. (2024). Development of Measurement Indicators by Type of Risk of AI Robots. Journal of Internet Computing and Services, 25(4), 97-108. DOI: 10.7472/jksii.2024.25.4.97.

[IEEE Style]
H. Song, "Development of Measurement Indicators by Type of Risk of AI Robots," Journal of Internet Computing and Services, vol. 25, no. 4, pp. 97-108, 2024. DOI: 10.7472/jksii.2024.25.4.97.

[ACM Style]
Hyun-kyoung Song. 2024. Development of Measurement Indicators by Type of Risk of AI Robots. Journal of Internet Computing and Services, 25, 4, (2024), 97-108. DOI: 10.7472/jksii.2024.25.4.97.