Approaches to Regulating Relations in the Sphere of Developing and Using the Artificial Intelligence Technologies: Features and Practical Applicability
https://doi.org/10.21202/jdtl.2023.17
EDN: lbwsxw
Abstract
Objective: to review the modern scientific approaches to regulating relations in the sphere of using the artificial intelligence technologies; to reveal the main features and limitations of using the risk-oriented and technological approaches in order to determine the directions of their further development.
Methods: the methodological basis of the research is a set of scientific cognition methods, including the general scientific dialectic method and the universal scientific methods (analysis and synthesis, comparison, summarization, structural-functional, and formal-logical methods).
Results: it was determined that the use of the risk-oriented approach implies building constructive models of risk management. A significant issue in using this approach is the bases of referring the artificial intelligence technologies to high-risk ones. When determining the risk level of using the artificial intelligence technologies, the following criteria should be applied: the type of artificial intelligence technology, its sphere of use, and the level of potential harm for the environment, health and other fundamental human rights.
In turn, the central issue of using the technological approach is the necessity and limits of regulation in the sphere of developing and using the artificial intelligence technologies. First, interference into this sphere must not create obstacles for developing technologies and innovations. Second, a natural reaction of a regulator towards newly emerging objects and subjects of turnover is the “imperfect law syndrome”. At the same time, a false idea about a lack of legal regulation may produce an opposite effect – duplication of legal norms. To solve the problem of duplicating legal requirements, it is necessary, first of all, to solve the issue of the need to regulate the artificial intelligence technologies or certain types of software applications.
Scientific novelty: a review was carried out of the main approaches to regulating relations in the sphere of developing and using the artificial intelligence technologies; the opportunities and limitations of their use are revealed; further directions of their development are proposed.
Practical significance: the main provisions and conclusions of the research can be used for determining the optimal approaches to regulating the sphere of digital technologies and for improving the legal regulation of the studied sphere of social relations.
About the Author
O. S. ErahtinaRussian Federation
Olga S. Erahtina – Candidate of Sciences in Jurisprudence, Associate Professor, Department of Civil and Entrep reneurial Law
Web of Science Researcher ID: https://www.webofscience.com/wos/author/record/K-3149-2014
Google Scholar ID: https://scholar.google.ru/citations?hl=ru&user=WdwWB4kAAAAJ
RSCI Author ID: https://www.elibrary.ru/author_items.asp?authorid=498773
38 Studencheskaya Str., 614070 Perm
Competing Interests:
The author declares no conflict of interests.
References
1. Alekseev, A. O., Erahtina, O. S., Kondratyeva K. S., & Nikitin, T. Ph. (2020). Approaches to civil legal liability of the artificial intelligence technologies developer: based on the classification. Information Society, 6, 47–57. (In Russ.).
2. Balashova, A. I. (2022). Artificial intelligence in copyright and patent law: objects, subject structure of legal relations, terms of legal protection. Zhurnal Suda po intellektual’nym pravam, 2(36), 90–98. (In Russ.).
3. Calo, R. (2011). Open robotics. Maryland Law Review, 70.3, 101–142.
4. Ellul, J., Pace, G., McCarthy, S., Sammut, T., Brockdorf, J., & Scerri, M. (2021). Regulating artificial intelligence: a technology regulator’s perspective. In: Proceedings of the Eighteenth International conference on artificial intelligence and law (pp. 190–194). https://doi.org/10.1145/3462757.3466093
5. Ellul, J. (2022). Should we regulate Artificial Intelligence or some uses of Software? Discover Artificial Intelligence, 2(5). https://doi.org/10.1007/s44163-022-00021-9
6. Erdélyi, O. J., & Goldsmith, J. (2018). Regulating artifcial intelligence: proposal for a global solution. In Proceedings of the 2018 AAAI/ACM conference on AI, ethics, and society (pp. 95–101).
7. Gellert, R. (2021). The role of the risk-based approach in the General data protection Regulation and in the European Commission’s proposed Artificial Intelligence Act: Business as usual? Journal of Ethics and Legal Technologies, 3(2), 15–33.
8. Gonçalves, M. E. (2020). The risk-based approach under the new EU data protection regulation: a critical perspective. Journal of Risk Research, 23(2), 139–152. https://doi.org/10.1080/13669877.2018.1517381
9. Hamon, R., Junklewitz, H., Sanchez, I., Malgieri, G., & De Hert, P. (2022). Bridging the gap between AI and explainability in the GDPR: towards trustworthiness-by-design in automated decision-making. IEEE ComputIntell Mag., 17(1), 72–85. https://doi.org/10.1109/mci.2021.3129960
10. Leenes, R. (2019). Regulating New Technologies in Uncertain Times. https://doi.org/10.1007/978-94-6265-279-8_2
11. Mikhaleva, E. S., & Shubina, E. A. (2019). Challenges and Prospects of the Legal Regulation of Robotics. Actual Problems of Russian Law, 1(12), 26–35. (In Russ.). https://doi.org/10.17803/1994-1471.2019.109.12.026-035
12. Mogul, J. C. (2006). Emergent (mis)behavior vs. complex software systems. ACM SIGOPS Oper. Syst. Rev., 40(4), 293–304. https://doi.org/10.1145/1218063.1217964
13. Ponkin, I. V., & Redkina, A. I. (2018). Artificial Intelligence from the Point of View of Law. RUDN Journal of Law, 22(1), 91–109. (In Russ.). https://doi.org/10.22363/2313-2337-2018-22-1-91-109
14. Savelyev, A. I. (2016). Directions of freedom of contract evolution under the influence of modern information technologies. In M. A. Rozhkova (head of authors’ collective and editor-in-chief), Svoboda dogovora. Moscow: Statut. (In Russ.).
15. Scherer, M. U. (2016). Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies. Harvard Journal of Law & Technology, 29(2), 353–400. https://doi.org/10.2139/ssrn.2609777
16. Smuha, N. A. (2021). From a ‘race to AI’ to a ‘race to AI regulation’: regulatory competition for artificial intelligence. Law. Innov. Technol., 13(1), 57–84. https://doi.org/10.1080/17579961.2021.1898300
17. Vasilevskaya, L. Yu., Poduzova, E. B., & Tasalov, F. A. (2021). Digitalization of civil turnover: legal characteristics of “artificial intelligence’ and “digital” subjects (civilistic research) (In 5 Vol.). Moscow: Prospekt. (In Russ.).
18. Voinikanis, E. A., Semenova, E. V., & Tyulyaev, G. S. (2018). Artificial intelligence and law: challenges and possibilities of self-learning algorithms. Proceedings of Voronezh State University. Series: Pravo, 4(35), 137–148. (In Russ.).
19. Wagner, B. (2018). Ethics as an escape from regulation: from ethics-washing to ethics-shopping. In Being profiling: cogitas ergo sum (pp. 86–90). Amsterdam: Amsterdam University Press. https://doi. org/10.1515/9789048550180-016
20. Zielke, T. (2020). Is artificial intelligence ready for standardization? In: European conference on software process improvement (pp. 259–274). Springer.
Review
For citations:
Erahtina O.S. Approaches to Regulating Relations in the Sphere of Developing and Using the Artificial Intelligence Technologies: Features and Practical Applicability. Journal of Digital Technologies and Law. 2023;1(2):421–437. https://doi.org/10.21202/jdtl.2023.17. EDN: lbwsxw