Artificial intelligence within the legal framework
Abstract
Artificial intelligence (AI) technologies have found applications in numerous sectors, and in the legal sector, they have proven to be a valuable resource for researchers and legal professionals. The significant expansion of their use has sparked important debates about their impact on legal principles, such as intellectual property. Calls for formal regulation of AI have grown in recent years, particularly with the emergence of generative AI models that have made it more accessible than ever before. This raises the question: to what extent can AI be used in the branches and fields of law ? This article aims to define the relationship between AI and branches and fields of law. The study employs an analytical approach for textual criticism, a descriptive approach for data analysis, and a comparative approach for examining different legislations. It concludes with several findings, most notably the increasing and rapid spread of AI use across various branches and fields of law. The article concludes with recommendations, the most important of which is the necessity of regulating AI use in legal branches and fields, given the complex issues it raises.
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References
Anke Moerland. (2022). Artificial Intelligence and Intellectual Property Law. Cambridge Handbook of Private Law and Artificial Intelligence, Cambridge University Press, Cambridge, United Kingdom, pp. 1-19.
Branislav Sančanin and Aleksandra Penjišević. (2022). Use of Artificial Intelligence for the Generation of Media Content. Ocial Informatics Journal, University Union Nikola Tesla, Njegoševa, Belgrade, Volume 1, Issue 1 , pp. 1-7.
EU-AI Act. (2021). Official Journal of the European Union, European Commission, Brussels, No 2021/0106(COD).
Georgios Petropoulos. (2018). Impact of Artificial Intelligence on Employment. Bruegel, Bruegel Research Center, Brussels, Volume 119, Issue 4 , Volume 119, pp. 119-133.
Human Rights Watch. (2023). EU: Artificial Intelligence Regulation Should Protect People’s Rights. New York, United States, pp. 1-7.
Mata v Avianca case. (2023). S.D.N.Y, Justia, Mountain View, California, United States, Document 55, No. 1:2022cv01461, p 1-7.
Nigeria Data Protection Act. (2023).
Nigerian Copyright Act, No. 8. (2022).
Oliver Cruciger and others. (2016). Impact of Locomotion Training with a Neurologic Controlled Hybrid Assistive Limb (HAL) Exoskeleton on Neuropathic Pain and Health Related Quality of Life (HRQoL) in Chronic Sci: A Case Study. Taylor & Francis, Milton Park, Oxfordshire, England, United Kingdom, Volume 11, Issue 06 , pp. 529–534.
Selvaraj Shanmugapriya and Subramani Pavithra. (2024). Artificial Intelligence and E-commerce. Nallamuthu Gounder Mahalingam College (Autonomous), India , pp. 216-220.
Srishti Agarwal. (2023). Use of Artificial Intelligence in Criminal Cases. International Review of Law and Technology, London, Volume 2, Issue 2 , 2, pp. 1-10.
Thomas Helfrich. (2022). Artificial Intelligence and its Impact on Religion. The Artificial Intelligence Journal, Elsevier Books Publishing House, Amsterdam, Netherlands , pp. 1-11.
UK Supreme Court Judgment No. UKSC 49. (2023). thaler v. Registrar General of Patents, Designs and Trademarks. UK Supreme Court, London.
William Connell and Megan Hamlin Black. (2019). Artificial Intelligence and Legal Education. The Computer & Internet Lawyer, New York, United States, Volume, 36, Issue 5 , pp. 14-18.
Yang Shen and Xiuwu Zhang. (2024). The Impact of Artificial Intelligence on Employment: The Role of Virtual Agglomeration. Humanities and Social Sciences Communications, Springer Nature, London, volume 11, Article number 122 , pp. 1-14.

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