Adapting Legal Systems to the Development of Artificial Intelligence: Solving the Global Problem of AI in Judicial Processes


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Authors

  • Gulyamov Said Tashkent State University of Law
  • Khudoberganov Azamat Tashkent State University of Law
  • Sharopov Ravshan Tashkent State University of Law
  • Abduvaliev Bokhadir Tashkent State University of Law

DOI:

https://doi.org/10.59022/ijcl.49

Keywords:

Artificial Intelligence, Litigation, Legal System, Judicial Process, Legal Responsibility, International Legal Acts, Legal Problems, Legal Solutions

Abstract

The rapid advancement of artificial intelligence (AI) has brought about substantial changes in numerous fields, including the legal system. As AI technologies continue to evolve and proliferate, their integration into courtrooms presents a range of opportunities and challenges. This article focuses on the adaptation of legal systems to accommodate the development of AI, particularly in the context of judicial processes. The global issue of AI in the judiciary necessitates a comprehensive examination of its implications, including the potential benefits and risks involved. By exploring the utilization of AI in legal proceedings, this study aims to identify strategies and solutions for addressing the challenges associated with AI integration. Furthermore, the article highlights the importance of creating a balanced framework that upholds legal principles, safeguards human rights, ensures transparency, and maintains public trust. As legal systems strive to navigate the impact of AI, this research aims to contribute to the ongoing discourse on effectively incorporating AI into judicial processes while preserving fairness, integrity, and accountability.

References

American Bar Association. (2018). ABA Model Rules 2.0: Maintaining Competence. Retrieved fromhttps://www.americanbar.org/

Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine bias: There's software used across the country to predict future criminals. ProPublica. Retrieved fromhttps://www.benton.org/headlines/machine-bias-theres-software-used-across-country-predict-future-criminals-and-its-biased

Caliskan, A., Bryson, JJ, & Narayanan, A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334), 183-186.https://www.science.org/doi/10.1126/science.aal4230;https://doi.org/10.1126/science.aal4230

Calo, R. (2017). Artificial intelligence policy: A primer and roadmap. SSRNhttps://lawreview.law.ucdavis.edu/issues/51/2/symposium/51-2_Calo.pdf

Council of Europe. (2001). Convention on Cybercrime. Retrieved fromhttps://www.coe.int/en/web/conventions/full-list/-/conventions/treaty/185

Allah Rakha, N. (2023). Artificial Intelligence and HR Management. International Journal of Management and Finance, 1(1). Retrieved from https://irshadjournals.com/index.php/ijmf/article/view/25

Darrow, B. (2018). Who owns the patents generated by AI? Artificial Lawyer. Retrieved fromhttps://www.artificiallawyer.com/

Dressel, J., & Farid, H. (2018). The accuracy, fairness, and limits of predicting recidivism. Science Advances, 4(1), eaao5580.https://pubmed.ncbi.nlm.nih.gov/29376122/

Rakha, NA (2023, April 30). Artificial Intelligence and Sustainability. International Journal of Cyber Law, 1(3).

Rustambekov, I., & Bakhramova, M. Legal Concept and Essence of International Arbitration. URL: https://www. ijsshr. in/v5i1/Doc/18. pdf, 122-129.

European Union. (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). Official Journal of the European Union, L119/1.https://www.eumonitor.eu/9353000/1/j4nvk6yhcbpeywk_j9vvik7m1c3gyxp/vk3t7p3lbczq#:~:text=Regulation%20(EU)%202016%2F679%20of%20the%20European%20Parliament%20and,(OJ%20L%20 119 %2C%204.5.

Allah Rakha, N. (2023). Artificial Intelligence strategy of the Uzbekistan: Policy framework, Preferences, and challenges. International Journal of Law and Policy, 1(1). https://doi.org/10.59022/ijlp.27 retrieved from https://irshadjournals.com/index.php/ijlp/article/view/27

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Luetge, C. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689-707.https://link.springer.com/article/10.1007/s11023-018-9482-5

Goodman, B., & Bretan, M. (2019). Legal effects of AI decision-making. Journal of Artificial Intelligence and Law, 27(4), 557-586.https://www.linkedin.com/pulse/ai-legal-decision-making-ia-metaverselegal

Allah Rakha, N. (2023). The impact of Artificial Intelligence (AI) on business and its regulatory challenges. International Journal of Law and Policy, 1(1). https://doi.org/10.59022/ijlp.23 retrieved from https://irshadjournals.com/index.php/ijlp/article/view/23

Goodman, B., & Flaxman, S. (2017). European Union regulations on algorithmic decision-making and a "right to explanation". AI Magazine, 38(3), 50-57.https://arxiv.org/abs/1606.08813

Gulyamov, S., Rustambekov, I., Narziev, O., & Xudayberganov, A. (2021). Draft Concept of the Republic of Uzbekistan in the Field of Development Artificial Intelligence for 2021-2030. Yurisprudensiya, 1, 107-21.https://www.researchgate.net/publication/351658151_DRAFT_CONCEPT_OF_THE_REPUBLIC_OF_UZBEKISTAN_IN_THE_FIELD_OF_DEVELOPMENT_ARTIFICIAL_INTELLIGENCE_FOR_2021-2030;http://dx.doi.org/10.51788/tsul.jurisprudence.1.1./QUGT2226

Hendler, J., Mulvehill, A., & Warren, P. (2018). Artificial intelligence for citizen services and government. AI Magazine, 39(1), 13-24.https://ash.harvard.edu/files/ash/files/artificial_intelligence_for_citizen_services.pdf

Allah Rakha, N. (2023). The Ethics of Data Mining: Lessons from the Cambridge Analytica Scandal. Cyber Law Review, 1(1). https://doi.org/10.59022/clr.24 retrieved from https://irshadjournals.com/index.php/ijcl/article/view/24

Hoffman, D., McCabe, D., & King, D. (2018). Lawyers, technology, and the future of law. Research Handbook on Big Data Law, 37-55.https://www.forbes.com/sites/bernardmarr/2020/01/17/the-future-of-lawyers-legal-tech-ai-big-data-and-online-courts/?sh=4f7bbaff8c46

Katz, D. M., Bommarito II, M. J., & Blackman, J. (2017). A general approach to predicting the behavior of the Supreme Court of the United States. PLoS ONE, 12(4), e0174698.https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0174698

Lepri, B., Oliver, N., Letouzé, E., & Pentland, A. (2017). Big data for development: A review of promises and challenges. Development Policy Review, 35(1), 135-174.https://onlinelibrary.wiley.com/doi/10.1111/dpr.12142

Liu, H., Kroll, JA, & Wagman, L. (2020). Algorithmic transparency for the smart city. IEEE Pervasive Computing, 19(2), 44-51.https://yjolt.org/sites/default/files/20_yale_j._l._tech._103.pdf

Lum, K., & Isaac, W. (2016). To predict and serve? Significance, 13(6), 14-19.https://www.researchgate.net/publication/309095411_To_predict_and_serve;http://dx.doi.org/10.1111/j.1740-9713.2016.00960.x

Mittelstadt, B.D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2019). The ethics of algorithms: Mapping the debate. Big Data & Society, 6(2), 2053951716679679.https://www.researchgate.net/publication/309322060_The_Ethics_of_Algorithms_Mapping_the_Debate;http://dx.doi.org/10.1177/2053951716679679

O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books.https://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815

Allah Rakha, N. (2023). The legal Aspects of the Digital Economy in the Age of AI. International Journal of Cyber Law, 1(2). https://doi.org/10.59022/clr.30 retrieved from https://irshadjournals.com/index.php/ijcl/article/view/30

Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Transparent, explainable, and accountable AI for robotics. Science Robotics, 2(6), eaan6080.https://www.science.org/doi/10.1126/scirobotics.aan6080

Zarsky, T.Z. (2016). The trouble with algorithmic decisions: An analytic road map to examine efficiency and fairness in automated and opaque decision making. Science, Technology, & Human Values, 41(1), 118-132.https://journals.sagepub.com/doi/abs/10.1177/0162243915605575

Published

2023-06-27

How to Cite

Said, G., Azamat, K., Ravshan, S., & Bokhadir, A. (2023). Adapting Legal Systems to the Development of Artificial Intelligence: Solving the Global Problem of AI in Judicial Processes. International Journal of Cyber Law, 1(4). https://doi.org/10.59022/ijcl.49

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Articles

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