Dashkevych, S.
(2024).
Implementation of artifical intelligence in modern judiciary.
Law, Policy and Security,
2(2),
52-59.
https://doi.org/10.62566/lps/2.2024.52
ISSN 2786-8761 e-ISSN 2786-877X UDC 34
Article
Implementation of artifical intelligence in modern judiciary
Received 04.07.2024, Revised 28.10.2024, Accepted 20.12.2024
Abstract
The purpose of the article was to explore the issue of implementing AI in the judiciary, the challenges involved, and existing solutions. The study employed methods of comparative analysis of international experience, an examination of Ukraine's legal framework, as well as an analysis of the ethical and socio-legal aspects of AI application. It was established that algorithms trained on historical data may inadvertently reinforce or exacerbate existing biases. This creates a risk of unfair outcomes, undermining the principle of justice – the cornerstone of the judicial system. It was noted that the complexity of legal systems poses challenges for AI implementation. Laws vary across jurisdictions, and the nuances of legal reasoning are difficult to codify into algorithms. AI applications must be adapted to specific legal frameworks, requiring significant investments in customization and continuous updates to keep pace with legal reforms. The article highlighted international examples of successful AI integration into judicial systems. It was found that AI integration could support ongoing judicial reform efforts in Ukraine by promoting transparency and reducing opportunities for corruption. AI tools can monitor case processing and flag violations, increasing accountability within the system. However, these advancements must be accompanied by robust training programs for legal professionals to ensure they understand AI applications and trust them. A balanced regulatory approach is needed to mitigate risks and maximise benefits. By addressing ethical concerns, ensuring data security, and adapting solutions to local needs, AI can become a powerful tool for advancing justice. AI tools can facilitate judicial reform by reducing corruption and enhancing accountability. However, effective AI utilization requires appropriate training for legal professionals to ensure proper understanding of the technology and its correct interpretation
Keywords:
legal technologies; automation; international experience; justice; machine learning
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References
1. Aletras, N., Tsarapatsanis, D., Preoţiuc-Pietro, D., & Lampos, V. (2016). Predicting judicial decisions of the European Court of human rights: A natural language processing perspectivе. PeerJ Computer Science, article number 2:e93. doi: 10.7717/peerj-cs.93.
2. Allen, J.C. (2020). Artificial intelligence in our legal system. The Judges’ Journal, 59 (1).
3. Bilousov, Y.V., Hariievska, M.B., Bondarenko-Zelinska, N.L., Trach, O.M., & Chudyk-Bilousova, N.I. (2020). Digitalization of civil justice in Ukraine. Asia Life Sciences – The Asian International Journal of Life Sciences, 22(1), 209-226.
4. Byelov, D.M., & Byelova, M.V. (2023). Artificial intelligence in judicial proceedings and court decisions, potential and risks. Scientific Bulletin of Uzhhorod National University. Series: Law, 2(78), 315-320. doi: 10.24144/2307-3322.2023.78.2.50.
5. Cherevko, V. (2024). Artificial intelligence in fair justice: Foreign experience and prospects for implementation in Ukraine. In The right to a fair trial in criminal proceedings: Materials of the roundtable discussion, Lviv: Lviv State University of Internal Affairs.
6. Cherniavskyi, S., Tychyna, D., & Pertsev, R. (2022). International experience of forensic support for crime investigation. Law Journal of the National Academy of Internal Affairs, 12(3), 9-16. https://doi.org/10.56215/04221203.09.
7. Clio. (2024). AI and law: What are the ethical considerations? Retrieved from https://www.clio.com
8. Greenstein, M.N. (2020). AI and a judge’s ethical obligations. The Judges’ Journal, 59(1), 40-40.
9. Holosiy, K.D. (2023). Artificial intelligence in the Ukrainian judiciary: Problems of implementation. In Actual problems of modern science in the research of young scientists, cadets and students: Abstracts of the All-Ukrainian scientific and practical conference (pp.162-165). Vinnytsya: Kharkiv National University of Internal Affairs.
10. Kostiuchenko, O.Yu. (2023).Should the use of artificial intelligence in criminal justice be ensured with a higher level of respect for the rights of participants in the proceedings? In Technologies of fair use of artificial intelligence in the field of education and science: Materials of the all-Ukrainian scientific and pedagogical advanced training (pp. 136-138). Odesa: Helvetica Publishing House.
11. Kovalchuk, O.Ya. (2024). Theoretical foundations for overcoming ethical challenges in the use of AI in the judiciary. Scientific Notes. Series: Law, 16, 217-221. doi: 10.36550/2522-9230-2024-16-217-221.
12. Kryvytskyi, Yu. (2021). Artificial intelligence as a tool of legal reform: Potential, trends and prospects. Scientific Journal of the National Academy of Internal Affairs, 26(2), 90-101. doi: 10.33270/01211192.90.
13. Lashchuk, N.R., & Serkevych, I.R. (2024). The right to a fair trial in criminal proceedings: Materials of the Round Table. Lviv: Lviv State University of Internal Affairs.
14. National Center for State Courts. (2024). AI and the courts: Judicial and Legal ethics issues. Retrieved from https://www.ncsc.org/__data/assets/pdf_file/0010/101125/ncsc-ai-rrt-judicial-legal-ethics-may-2024.pdf.
15. OECD AI Policy Observatory. (n.d.). Emerging ethical and legal issues related to the usage of artificial intelligence. Retrieved from: https://oecd.ai.
16. Savytskyy, D.O. (2024). Possibilities of using artificial intelligence in judicial proceedings. In Artificial intelligence in legal practice: Boundaries and opportunities: Collection of abstracts of the All-Ukrainian Round Table (pp.154-158). Lviv: Lviv State University of Internal Affairs.
17. Shadska, U. (2024). Human rights in the era of artificial intelligence: Challenges and legal regulation. Kyiv: EU4DigitalUA.
18. Shepitko, V., Shepitko, M., Latysh, K., Kapustina, M., & Demidova, E. (2024). Artificial intelligence in crime counteraction: From legal regulation to implementation. Social and Legal Studios, 7(1), 135-144. doi: 10.32518/sals1.2024.135.
19. Shope, M.L. (2021). Lawyer and judicial competency in the era of artificial intelligence: Ethical requirements for documenting datasets and machine learning models. Georgetown Journal of Legal Ethics, 34,(1).
20. Sobol, Ye.Yu., & Habelko, V.O. (2023). Electronic judicature as a repository of the right to a fair trial: International experience and prospects for Ukraine. Scientific Notes. Series: Law, 15, 265-270. doi: 10.36550/2522-9230-2023-15-265-270.
21. The Artificial Intelligence Act. (n.d.). Retrieved from https://artificialintelligenceact.eu/.
22. Tokar, L.V. (2020). Artificial intelligence worth justice: Utopia or the prospect of humanity. Comparative and Analytical Law, 2, 273-275.
23. UNESCO. (2024). AI and the rule of law: Capacity building for judicial systems. Retrieved from https://www.unesco.org/en/artificial-intelligence/rule-law/mooc-judges.
24. Zabzaliuk, D.Ye., Kovaliv, M.V., Gavryltsev, M.T., & Lepish, N.Ya. (Eds.). (2024). Constitutional rights and freedoms of a person and a citizen in wartime and post-war periods: Materials of the scientific seminar. Lviv: Lviv State University of Internal Affairs.
25. Zavorina, O.P., & Nechayeva, I.O. (2020). Use of artificial intelligence capabilities in criminal proceedings. In Using the Achievements of Modern Science and Technology in Solving Crimes: Materials of the international scientific and practical conference (pp. 55-58). Kharkiv: Kharkiv National University of Internal Affairs.