Logical and conceptual constructions, theoretical and legal versions of the interpretation of the artificial intelligence’s "legal personality"

Yana V. Gaivoronskaya; Alexey Y. Mamychev; Olga I. Miroshnichenko; Oksana Khotynska- Nor

doi:10.21744/lingcure.v5nS3.1684

Authors

Yana V. Gaivoronskaya
yanavl@yandex.ru
Law School at Far Eastern Federal University and PhD in Law, Associate Professor, Department of theory and history of state and law
Alexey Y. Mamychev Head of the political and legal research laboratory, Lomonosov Moscow State University, Department of Theory and History of Russian and Foreign Law, Vladivostok State University of Economics and Service, Vladivostok, Russia
Olga I. Miroshnichenko Law School at Far Eastern Federal University, PhD in Law, Ll.M., and Associate Professor, Department of theory and history of state and law
Oksana Khotynska- Nor Doctor of Law, Taras Shevchenko National University of Kyiv, Ukraine

Keywords:

android, artificial intelligence, freedoms, gynoid, human rights, law continuity, law subjects, legal personality, legal regulation, robots

Abstract

The lack of sufficient legal regulation of relations associated with the use of artificial intelligence and robotics is associated with the conceptual lack of resolution of the basic issues underlying modern models of legal regulation for anything: about the concept and general status of the phenomenon to be settled. With regard to the research topic, this translates into questions about the concept and legal personality of artificial intelligence. These questions represent a kind of logical metaphor: in order to start modeling the legal personality of artificial intelligence, we must first define its concept; and the legal concept of artificial intelligence will be formulated differently depending on whether we consider it as a subject or an object of law. The authors investigate the technical, moral and legal aspects of the problem concerning the status and understanding artificial intelligence, and draw conclusions about the basic conditions for the legal regulation of this area.

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References

Arbab, H., Jazi, B., & Rezagholizadeh, M. (2009). A computer tracking system of solar dish with two-axis degree freedoms based on picture processing of bar shadow. Renewable Energy, 34(4), 1114-1118. https://doi.org/10.1016/j.renene.2008.06.017

Asada, M., MacDorman, K. F., Ishiguro, H., & Kuniyoshi, Y. (2001). Cognitive developmental robotics as a new paradigm for the design of humanoid robots. Robotics and Autonomous systems, 37(2-3), 185-193. https://doi.org/10.1016/S0921-8890(01)00157-9

Breazeal, C. (2003). Toward sociable robots. Robotics and autonomous systems, 42(3-4), 167-175. https://doi.org/10.1016/S0921-8890(02)00373-1

?erka, P., Grigien?, J., & Sirbikyt?, G. (2017). Is it possible to grant legal personality to artificial intelligence software systems?. Computer law & security review, 33(5), 685-699. https://doi.org/10.1016/j.clsr.2017.03.022

Gbaguidi, C., & Allagbe, A. M. (2018). African social appraisals of women’s liberal and radical feminism in selected contemporary West and Central African female and male novels. International Journal of Linguistics, Literature and Culture, 4(6), 42-52. https://doi.org/10.21744/ijllc.v4n6.374

Gurkaynak, G., Yilmaz, I., & Haksever, G. (2016). Stifling artificial intelligence: Human perils. Computer Law & Security Review, 32(5), 749-758. https://doi.org/10.1016/j.clsr.2016.05.003

Kaharuddin, K. (2021). Assessing the effect of using artificial intelligence on the writing skill of Indonesian learners of English. Linguistics and Culture Review, 5(1), 288-304. https://doi.org/10.21744/lingcure.v5n1.1555

Karbab, E. B., Debbabi, M., Derhab, A., & Mouheb, D. (2018). MalDozer: Automatic framework for android malware detection using deep learning. Digital Investigation, 24, S48-S59. https://doi.org/10.1016/j.diin.2018.01.007

Lee, J., Davari, H., Singh, J., & Pandhare, V. (2018). Industrial Artificial Intelligence for industry 4.0-based manufacturing systems. Manufacturing letters, 18, 20-23. https://doi.org/10.1016/j.mfglet.2018.09.002

Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence, 267, 1-38. https://doi.org/10.1016/j.artint.2018.07.007

Morkhat, P. M. (2017). Artificial intelligence: legal view. M.: BukiVedi, 257.

Morkhat, P. M. (2018). Artificial intelligence in sports: potentialities and implementation ways and tools. Theory and Practice of Physical Culture, (10), 33-33.

Quoc, N. A., Tri, N. M., Thuong, N. A., Hoang, D. T., & Bung, N. V. (2021). The alienated human. Linguistics and Culture Review, 5(1), 247-262. https://doi.org/10.21744/lingcure.v5n1.1509

Rinartha, K., & Suryasa, W. (2017). Comparative study for better result on query suggestion of article searching with MySQL pattern matching and Jaccard similarity. In 2017 5th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-4). IEEE.

Shirazi, F., Ngwenyama, O., & Morawczynski, O. (2010). ICT expansion and the digital divide in democratic freedoms: An analysis of the impact of ICT expansion, education and ICT filtering on democracy. Telematics and Informatics, 27(1), 21-31. https://doi.org/10.1016/j.tele.2009.05.001

Suwija, I. N. (2016). A study on educational value of national character towards Balinese traditional song text: Geguritan Ketut Bungkling. International Journal of Linguistics, Literature and Culture, 2(3), 133-143.

Vidas, T., Zhang, C., & Christin, N. (2011). Toward a general collection methodology for Android devices. digital investigation, 8, S14-S24. https://doi.org/10.1016/j.diin.2011.05.003

Yang, S., Mok, B. K. J., Sirkin, D., Ive, H. P., Maheshwari, R., Fischer, K., & Ju, W. (2015). Experiences developing socially acceptable interactions for a robotic trash barrel. In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (pp. 277-284). IEEE.