Education, Science, Technology, Innovation and Life
Open Access
Sign In

Problems in the Construction and Implementation of Legal Liability System in the Era of Artificial Intelligence

Download as PDF

DOI: 10.23977/law.2024.030119 | Downloads: 14 | Views: 194

Author(s)

Yiwen Mao 1

Affiliation(s)

1 ZUEL-SUR School of Law and Economics, Zhongnan University of Economics and Law, Wuhan, Hubei, China

Corresponding Author

Yiwen Mao

ABSTRACT

Artificial intelligence (AI) is a very widely studied science at present. In an era of continuous technological development, there are more and more legal issues arising from AI. How to find out the problems as soon as possible and build a perfect legal liability system is very important at present. The purpose of this paper was to analyze the problems faced in the construction and implementation of the legal liability system in the context of AI and to improve the relevant laws. This paper first proposed the use of random forest algorithms to classify and assess legal risks related to legal issues that might arise from different AI products. This paper found that security, human rights, ethics, copyright and infringement issues in the AI era were among the most important issues. Then this paper selected three areas where legal cases occur more frequently in a city and conducted risk classification and assessment of AI products in these areas. The results showed that before the implementation of the system, the risk ratio of AI products in personal lending was 0.65, the risk ratio of transactions was about 0.8, and the risk ratio of returns was about 0.78; the risk rate of credit card AI products was about 0.5, the self-risk rate and return risk rate of smart medical AI products were about 0.35, and the transaction risk rate was about 0.5. After the implementation of the legal system, the overall legal risk ratio of its personal loan products dropped to about 0.5, the credit card AI products dropped to about 0.45, and the smart medical AI products dropped to 0.3. This showed that the relevant legal liability system constructed in this paper had a certain warning effect and could reduce the relevant legal risks of AI products. And the final expert's score for the legal system constructed in this paper was about 70 points, which showed that the legal system constructed in this paper had certain reliability and feasibility.

KEYWORDS

Legal Responsibility, Construction and Implementation of the System, Artificial Intelligence, Random Forest

CITE THIS PAPER

Yiwen Mao, Problems in the Construction and Implementation of Legal Liability System in the Era of Artificial Intelligence. Science of Law Journal (2024) Vol. 3: 118-126. DOI: http://dx.doi.org/DOI: 10.23977/law.2024.030119.

REFERENCES

[1] Droste W, Hoffmann P, Olze H, Kneist W, Ruta M. Interactive Implants: Ethical, legal and social implications. Current Directions in Biomedical Engineering, 2018, 4(1):13-16.
[2] Callier, Michael. Blame It on the Machine: A Socio-Legal Analysis of Liability in an AI World. Washington Journal of Law, Technology & Arts, 2018, 14(1):4-4.
[3] Machnikowski P. Producers' Liability in the EC Expert Group Report on Liability for AI. Journal of European Tort Law, 2020, 11(2):137-149.
[4] Mazurowski M A. Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce. Journal of the American College of Radiology: JACR, 2019, 16(8):1077-1082.
[5] Sellwood, Michelle. The Road to Autonomy. San Diego Law Review, 2017, 54(4):5-5.
[6] Mareiniss D P. Doctors Could Face Significant Legal Liability if We Reallocate Ventilators. Journal of Emergency Medicine, 2021, 60(5):e138-e139.
[7] Min K S, Ho L J. Inferior alveolar nerve cutting; legal liability versus desired patient outcomes. J Korean Assoc Oral Maxillofac Surg, 2017, 43(5):318-323.
[8] Weng T C, Chen G Z, Chi H Y. Effects of directors and officers liability insurance on accounting restatements. International Review of Economics & Finance, 2017, 49(May):437-452.
[9] Bagchi, Aditi. Production Liability. Fordham Law Review, 2019, 87(6):9-9.
[10] Canellas M, Haga R A. Unsafe at Any Level: NHTSA's levels of automation are a liability for autonomous vehicle design and regulation. Communications of the ACM, 2020, 63(3):31-34.
[11] Tebano G, Dyar O J, Beovic B, Claudot, F, Pulcini C. Practices, organisation, and regulatory aspects in advising on antibiotic prescription: the international ESCMID AntibioLegalMap survey. Infection, 2019, 47(5):749-760.
[12] Baranowska, Nina, Natalia. Public Authority Liability and the Regulation of Nanotechnology: A European Perspective. Canadian Journal of Law and Technology, 2018, 16(1):15-15.
[13] Beccia F, Amantea C, Rossi M F. Legal resposability of vaccinating doctor. Giornale Italiano di Medicina del Lavoro Ed Ergonomia, 2021, 43(2):93-98.
[14] Anisimov A P, Ryzhenkov A J. Is it possible to change the destiny of stray animals by legal means? International Journal of Legal Discourse, 2020, 4(2):143-166.
[15] Joshi O, Poudyal N C, Weir J R. Determinants of perceived risk and liability concerns associated with prescribed burning in the United States. J Environ Manage, 2018, 230(JAN.15):379-385.
[16] YR Shrestha, SM Ben-Menahem, GV Krogh. Organizational Decision-Making Structures in the Age of Artificial Intelligence. California Management Review, 2019, 61(4):66-83.
[17] Russell S. Life 3.0: Being Human in the Age of Artificial Intelligence. Nature, 2017, 548(7669):520-521.
[18] Ohno E. State of the "Fine" art in the age of artificial intelligence. Journal of Medical Ultrasonics, 2019, 46(2):175-175.
[19] Hu L, Zhang Z. Evolving EEG signal processing techniques in the age of artificial intelligence. Brain Science Advances, 2020, 6(3):159-161.
[20] Gao Y, Geras K J, Lewin A A. New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence. American Journal of Roentgenology, 2019, 212(2):300-307.
[21] Fleissner, Chris. Inclusive Capitalism Based on Binary Economics and Positive International Human Rights in the Age of Artificial Intelligence. Washington University Global Studies Law Review, 2018, 17(1):9-9.
[22] Liu X, Keane P A, Denniston A K. Time to regenerate: the doctor in the age of artificial intelligence. Journal of the Royal Society of Medicine, 2018, 111(4):113-116.
[23] Zhao S, Chen J. The Influence of E-Book Teaching on the Motivation and Effectiveness of Learning Law by Using Data Mining Analysis. Journal of Organizational and End User Computing, 2022, 34(3), 1-17.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.