Proceedings of the 2023 2nd International Conference on Public Culture and Social Services (PCSS 2023)

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On the Identification of the Policyholder of Artificial Intelligence Tort Liability Insurance

Authors
Yuan Liu1, Zheng Sai2, *
1LawSchool/Intellectual Property School of Guilin, University of Electronic Technology, Guilin, China
2LawSchool/Intellectual Property School of Guilin, University of Electronic Technology, Law School of Zhongnan University of economics and law, Guilin, China
*Corresponding author. Email: 47871170@qq.com
Corresponding Author
Zheng Sai
Available Online 29 October 2023.
DOI
10.2991/978-2-38476-130-2_45How to use a DOI?
Keywords
Artificial intelligence; Tort liability; Liability insurance; Insured policyholder
Abstract

Artificial Intelligence (AI) technology has been developing rapidly in recent years, and a large portion of products, whether in the highly sophisticated industrial field or in daily life, are seeking to apply AI to their production processes, with a view to improving production efficiency and condensing it into part of their core values. This paper focuses on the dual perspectives of tort liability system and liability insurance system during the research process, and combines relevant principles from multiple academic fields such as civil law, insurance law, and artificial intelligence to study a series of legal issues related to the identification of the insured party of artificial intelligence tort liability insurance. I hope to conduct a comparative study on the liability subjects and insurance policyholders brought about by artificial intelligence infringement in the context of big data, and try to identify the common operating mechanisms and internal connections between the two. This will provide a theoretical basis for establishing an artificial intelligence infringement liability insurance system and establish an effective mechanism to achieve a balance of interests among all parties in the issue of artificial intelligence infringement.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 2nd International Conference on Public Culture and Social Services (PCSS 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 October 2023
ISBN
978-2-38476-130-2
ISSN
2352-5398
DOI
10.2991/978-2-38476-130-2_45How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuan Liu
AU  - Zheng Sai
PY  - 2023
DA  - 2023/10/29
TI  - On the Identification of the Policyholder of Artificial Intelligence Tort Liability Insurance
BT  - Proceedings of the 2023 2nd International Conference on Public Culture and Social Services (PCSS 2023)
PB  - Atlantis Press
SP  - 363
EP  - 369
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-130-2_45
DO  - 10.2991/978-2-38476-130-2_45
ID  - Liu2023
ER  -