Abstract
From the rise of artificial intelligence technology in the 1950s to the present, it has developed tremendously in just over 60 years. The application of artificial intelligence (AAI) technology has widely penetrated into the daily life of human beings. Its development has brought us opportunities and challenges, as well as huge hidden dangers to social public safety. The purpose of this article is to study the risks of artificial intelligence in public management. This article first explains the AAI in public management, and conducts research and analysis from all aspects of life, including transportation, medical care, education, and security. Secondly, it discusses the risks of artificial intelligence in public management, and analyzes ethical risks, public safety risks, employment risks, and public environmental risks on the basis of the previous article. Finally, this paper further analyzes the risks of artificial intelligence in public management, and finally proposes preventive measures to better guide the development direction of artificial intelligence. Experimental research results show that the best practical application effect is in public education management, which is 89.03%, followed by public transportation and public security, with an average of about 83%, and finally in public medical management, the actual application effect is 79.27%. From the overall analysis, there is still a lot of room for artificial intelligence technology to be applied in public management, which needs to be explored.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cierco, A.A.: Artificial intelligence in financial markets: cutting edge applications for risk management, portfolio optimization and economics. Comput. Rev. 58(11), 652 (2017)
Barzegar, R., Adamowski, J., Moghaddam, A.: Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran. Stochast. Environ. Res. Risk Assess. 30(7), 1797–1819 (2016). https://doi.org/10.1007/s00477-016-1213-y
Li, H.B.: Modeling method of tax management system based on artificial intelligence. Int. J. Artif. Intell. Tools 29(07n08), 2040023 (2020)
Gunasekeran, D.V., Tseng, R., Tham, Y.C., et al.: Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies. Npj Digit. Med. 4(1), 40 (2021)
Analysis on the application status of artificial intelligence in COVID-19. Chin. J. Hosp. Adm. 36, E013–E013 (2020)
Kobrinskii, B.A., Grigoriev, O.G., Molodchenkov, A.I., Smirnov, I.V., Blagosklonov, N.A.: Artificial intelligence technologies application for personal health management. IFAC-PapersOnLine 52(25), 70–74 (2019)
Galanos, V.: Exploring expanding expertise: artificial intelligence as an existential threat and the role of prestigious commentators, 2014–2018. Technol. Anal. Strateg. Manag. 31(4), 421–432 (2019)
Asadizadeh, M., Hossaini, M.F.: Predicting rock mass deformation modulus by artificial intelligence approach based on dilatometer tests. Arab. J. Geosci. 9(2), 1–15 (2016). https://doi.org/10.1007/s12517-015-2189-5
Yingjun, H.: Cultivation of social risk management system from the perspective of public management: strategy, logic, and analysis framework. Adm. Forum 025(003), 104–111 (2018)
Mccomas, K.A., Scherer, C.W.: Reassessing public meetings as participation in risk management decisions. RISK: Health Saf. Environ. 9(4), 6 (2016)
Wiener, J.B.: Managing the iatrogenic risks of risk management. RISK: Health Saf. Environ. 9(1), 6 (2016)
Shepherd, E., Sexton, A., Duke-Williams, O., et al.: Risk identification and management for the research use of government administrative data. Rec. Manag. J. 30(1), 101–123 (2020)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kuang, M. (2022). Risk Analysis of the Application of Artificial Intelligence in Public Management. In: J. Jansen, B., Liang, H., Ye, J. (eds) International Conference on Cognitive based Information Processing and Applications (CIPA 2021). Lecture Notes on Data Engineering and Communications Technologies, vol 84. Springer, Singapore. https://doi.org/10.1007/978-981-16-5857-0_75
Download citation
DOI: https://doi.org/10.1007/978-981-16-5857-0_75
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5856-3
Online ISBN: 978-981-16-5857-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)