Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
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Development of Measurement Indicators by Type of Risk of AI Robots

인공지능 로봇의 위험성 유형별 측정지표 개발

  • Hyun-kyoung Song (National Police Agency Seoul Metropolitan Police Agency)
  • 송현경
  • Received : 2024.06.06
  • Accepted : 2024.07.11
  • Published : 2024.08.31
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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.

인공지능 로봇의 산업화가 활발해짐에 따라 윤리적, 기술적 문제가 심각해지고 있음에도 위험성에 관한 연구는 미흡하다. 이러한 실정에서 연구자는 인공지능 로봇의 신체, 권리, 재산, 사회적 위험성을 측정할 수 있는 검증된 지표 52개를 개발하였다. 인공지능 로봇의 위험성 유형별 측정지표 개발을 위해 IRB 심의 이후, 전문가 11명에게 심층 면접하였다. 또한 현장성 검증을 위해 인공지능 로봇이 도입될 수 있는 여러 분야 종사자 328명에게 설문 조사하였으며, 타당성 및 신뢰성 측정을 위해 탐색적 요인분석과 신뢰도 분석, 변수 계산을 위한 상관관계 분석과 다중 회귀분석 등 통계 검증하였다. 이 논문에서 제시하는 측정지표가 표준화된 인공지능 로봇의 개발·인증·교육·정책 등에 널리 활용되어, 사회적으로 공감받고 안전한 인공지능 로봇 산업화의 초석이 되기를 기대한다.

Keywords

References

  1. Park Eun-kyung, A robot that mistook humans for boxes, killed people, Hankookilbo, 2023. https://v.daum.net/v/20231108180921195 
  2. Korea Institute of Science and Technology Planning and Evaluation, Ministry of Science and Technology Information and Communication, "The future of social robots as a result of the 2019 Technology Impact Assessment." pp.151, Dongjin Culture Co., Ltd., 2019.
  3. IAAE, ETHICS GUIDELINES FOR TRUSTWORTHY AI, European Commission, 2020. https://iaae.ai/research/?q=ytoyontzojeyoijrzxl3b3jkx3r5cguio3m6mzoiywxsijtzojq6inbhz2uio2k6mtt9&bmode=view&idx=4384062&t=board 
  4. Byeon Sun-yong, "A Study on the Ethical Guideline for artificial intelligence robots - Focusing on 4 principles of artificial intelligence robot ethics -," Journal of Ethics Education Studies, Vol.47, pp.233-252, 2018. https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE10769080  10769080
  5. Ryu Ji-woong "A Study on Legal Problems of Artificial Intelligence (AI) Robot - Focusing on EU Legislative Trends of RoboLaw -," Korean Society for Land Construction and Construction, Vol.78, pp.301-326. 2017. https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11471740 
  6. Lee Hae-won, "Progress and Future Prospects of the EU AI Bill," Journal of KISO, Vol.51, pp.34-37, 2023. https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11440658 
  7. Japanese Cabinet Office, Human-centered AI social principles, 2019.
  8. Ministry of Science and ICT, Korea Information and Communication Technology Association 2023 "A Guide to Reliable Artificial Intelligence Development - Self-Driving Field," Jinhan M&B Co., Ltd., 2023.
  9. C. H. Lee, S. Y. BYUN, B. J. Kim, H. J. Kim, H. C. Choi, Y. G. KIM and J. W. Kim. "A Study on the Development of Ethics Checklist for Developers of Healthcare AI Robots in Home," Korean Ethical Society, vol.1, no.132, pp.263-280, 2021. https://doi.org/10.15801/je.1.132.202103.263 
  10. S. D. Hong and Y. W. Yoo, "A Study on the Use and Risk of Artificial Intelligence (Focusing on the eproperty appraiser industry)," The Journal of the Korea Contents Association, Vol.22, no.7, pp.81-88. 2022. https://dx.doi.org/10.5392/JKCA.2022.22.07.081 
  11. Torresen J., "A Review of Future and Ethical Perspectives of Robotics and AI," Robot Learning and Evolution, Vol.4, 2018. https://doi.org/10.3389/frobt.2017.00075 
  12. Jobin. A, Lenca, M., Vayena, E. "The global Landscape of AI ethics guidelines," nature machine intelligence. pp.389-399, 2019. https://www.nature.com/articles/s42256-019-0088-2 
  13. Hosseinzadeh, M. Sinopoli, B. and Bobick, A.F., "Toward Safe and Efficient Human-Robot Interaction via Behavior-Driven Danger Signaling," IEEE Transactions on Control Systems Technology, vol.32, no.1, pp.214-224, 2024. https://doi.org/10.1109/TCST.2023.3305100 
  14. W. Jeong., "Legal review on the use of artificial intelligence robots," Kyung Hee University Law Research Institute, Vol.55, no.4, pp.189-221, 2020. https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE10730413  10730413
  15. Guerra, A., Parisi, F. and Pi, D., "Liability for robots I: legal challenges," Journal of Institutional Economics, Vol.18, no.3, pp.331-343, 2022. https://doi.org/10.1017/S1744137421000825 
  16. S. H. Kim, "Artificial intelligence technology for robot-human, robot-robot, robot-equipment-human collaboration," The Magazine of the IEEE, Vol.49, no.4, pp.17-24. 2022. https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE11100751  100751
  17. Huang, M. H, and Rust, R T., "Engaged to a Robot? The Role of AI in Service," Journal of Service Research, Vol.24, no.1, pp.30-41, 2020. https://doi.org/10.1177/1094670520902266 
  18. H. K. Song, and S. J. Ahn, "A study on the measurement indicators for risk prevention of AI robots," Journal of Internet Computing and Services, Vol.24, no.3, pp.27-41. 2023. https://doi.org/10.7472/jksii.2023.24.3.27