Definition of artificial intelligence in the context of the Russian legal system: a critical approach

 
PIIS102694520018288-7-1
DOI10.31857/S102694520018288-7
Publication type Article
Status Published
Authors
Occupation: Head of the Department of theory and history of state and law
Affiliation: St. Petersburg State University
Address: Saint Petersburg, Russia
Occupation: lecturer at the Department of theory and history of state and law
Affiliation: St. Petersburg State University
Address: Russia
Occupation: chief researcher of the Information Law and international information security sector of the Institute of State and Law of the Russian Academy of Sciences; chief researcher of the Laboratory of applied informatics and problems of society informatization o
Affiliation:
Institute of State and Law of the Russian Academy of Sciences
St. Petersburg state University
Dentons Law Firm
Address: Russian Federation, St. Petersburg
Occupation: Chief Research Fellow, Acting Head of the Information Law and International Information Security sector, Institute of State and Law
Affiliation: Institute of State and Law of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Occupation: Head of the Department of Information Law and digital technologies
Affiliation:
Kutafin Moscow state Law University (MSAL)
The Institute of State and Law of the Russian Academy of Sciences
Address: Russian Federation
Journal nameGosudarstvo i pravo
EditionIssue 1
Pages168-178
Abstract

The article addresses the normative definition of artificial intelligence as provided in the Russian legislation by 2021 in the context of general approach to this term. Authors identify principal legally significant features of artificial intelligence that include autonomy of functioning (complete or relative), the ability to find solutions (including without predetermined algorithms) and “inorganic” nature that imply – strictly from formal legal, and not factual, perspective – potential risk and, subsequently, potential danger of artificial intelligence to be understood in formalized legal sense. The authors take into consideration examples of approaches to defining the term in the world, raise criticism of the existing definition and suggest more concise approach based on defining artificial intelligence as an information system (in formal legal sense) which provides the function of forming algorithms for solving problems different from those laid down by the system developers, including artificial neural network

Keywordslaw, artificial intelligence, definition, neural network
AcknowledgmentThe article was prepared within the framework of the thematic research plan of the Institute of Digital Environment Law, National Research University “Higher School of Economics”.
Received15.11.2021
Publication date17.03.2022
Number of characters41158
Cite  
100 rub.
When subscribing to an article or issue, the user can download PDF, evaluate the publication or contact the author. Need to register.

Number of purchasers: 2, views: 759

Readers community rating: votes 0

1. Definition Intelligence Artificielle dans les systems industriels de production, http://www.industrie-dufutur.org/content/uploads/2019/02/Intelligence-Artificielle-AIF-Janvier-2019.pdf (accessed: 2021 August 23).

2. Digital transformation: challenges to law and the vectors of scientific research / T.A. Polyakov, A.V. Minvaleev [and others]. Moscow, 2020 (in Russ.).

3. Günther J.P. Roboter und rechtliche Verantwortung. München (2016).

4. Hallevy G. When robots kill: artificial intelligence under Criminal Law. Boston (2013).

5. Hunter D. The death of the legal profession and the future of law // UNSW Law Journal 43(4), 1199–1225 (2020).

6. Kalyaev I., Zaborovskij V. Artificial Intelligence: from metaphor to technical solutions // Control Engineering Russia 83(5), 26 - 31 (2019) (in Russ.).

7. Legal and ethical aspects related to the development and application of artificial intelligence systems and robotic technology: history, modern status, and development prospects / ed. by V.B. Naumov. St. Petersburg, 2020 (in Russ.).

8. Lipinsky D.A., Repeteva O.E. On the inter-branch institution of legal liability // Yuridicheskaya Mysl’ 4(96), 24 - 32 (2016) (in Russ.).

9. McDermott D. Artificial intelligence meets natural stupidity. SIGART Newsletter 57, 4 - 9 (1976).

10. Pollack J.B. Mindless intelligence // IEEE Intelligent Systems. (21)3, 50 - 56 (2006).

11. Polyakov A.V., Timoshina E.V. General theory of law. St. Petersburg (2005) (in Russ.).

12. Polyakova T.A., Minbaleev A.V., Krotkova N.V. New vectors of Information Law development in the conditions of the civilizational crisis and digital transformation // State and Law, No. 5, 75 - 87 (2020) (in Russ.).

13. Proudfoot D. Anthropomorphism and AI: Turingʼs much misunderstood imitation game // Artificial intelligence 175(5-6), 950 - 957 (2011).

14. Report of Estonia's AI Taskforce, https://f98cc689-5814-47ec-86b3-db505a7c3978.filesusr.com/ugd/7df26f_486454c9f32340b28206e140350159cf.pdf (accessed: 2021 August 23).

15. Scherer M.U. Regulating artificial intelligence systems: risks, challenges, competencies, and strategies // Harv. JL & Tech 29(2), 353 - 400 (2015).

16. Schuett J. Defining the scope of AI regulations, https://arxiv.org/abs/1909.01095 (accessed: 2021 August 23).

17. Simmler M., Markwalder N. Roboter in der Verantwortung? // Zeitschrift für die gesamte Strafrechtswissenschaft. 129(1), 20 - 47 (2017).

18. Susskind R.E. Online courts and the future of justice. Oxford (2019).

19. Turing A. Can machines think? Moscow (1960) (in Russ.).

20. Turner J. Robot rules: regulating artificial intelligence. London (2019).

21. Volkov V.V. Artificial Intelligence and the human mind: futuristic synecdoche and reality (linguistic and linguo-mental aspects) // Vestnik Rossijskogo universiteta druzhby narodov. Ser.: Teoriya yazyka. Semiotika. Semantika 11(4), 745 - 759 (2020) (in Russ.).

22. Whitby B. The Turing test: AI’s biggest blind alley? // Machines and thought: the legacy of Alan Turing (1), 53 - 62 (1996).

Система Orphus

Loading...
Up