Protection of Personal Data in the Context of Artificial Intelligence Applications in Judicial Systems: A Comparative Study between the Sultanate of Oman and International Legislations
DOI:
https://doi.org/10.70411/MJLS.4.1.2026255Keywords:
الذكاء الاصطناعي, القضاء, البيانات الشخصية, الخصوصية, الانحياز الخوارزمي, التشريعات المقارنة, سلطنة عُمانAbstract
This research paper examines the legal dimensions of protecting sensitive judicial data in light of the growing use of artificial intelligence technologies within the judicial sector and the consequent challenges related to data security and the integrity of judicial decisions. The core issue addressed in this paper revolves around the adequacy and effectiveness of the existing legal frameworks in the Sultanate of Oman—particularly the Personal Data Protection Law issued by Royal Decree No. (6/2022)—in confronting the risks of data breaches or misuse, as well as in addressing algorithmic biases that may impact the principles of equality and judicial fairness.
This paper aims to elucidate the conceptual and practical framework of artificial intelligence in the judicial field and its impact on the privacy of personal data. It also seeks to examine the legal and ethical issues raised by the use of artificial intelligence in the processing of judicial data, in addition to studying the national legislative framework governing the protection of such data and assessing the extent to which the Omani legal framework aligns with the relevant international and regional framework.”
To achieve these objectives, the study adopts a descriptive and analytical methodology by examining legal and jurisprudential sources, analysing legislative texts in Oman, and reviewing and comparing international legal experiences. The goal is to identify legal gaps and propose measures to ensure the protection of judicial data and to reinforce justice amid rapid technological developments.
References
أحمد كامل حامد،"تجريم التحيز الخوارزمي وآليات الحد منه (دراسة مقارنة)، "مجلة البحوث القانونية والاقتصادية-جامعة المنوفية، العدد 61/4، 2025.
بتشيم بوجمعة، الذكاء الاصطناعي في منظومة العدالة الحديثة على ضوء أحدث أحكام التشريع والقضاء المقارن إلى غاية سنة - 2022، دار ألفا للوثائق، الجزائر، 2022.
د. حسين الغافري، د. ماهر إبراهيم عبيد إمام، مشاري محمد عمر الحربي، 2024، "الحماية القانونية للبيانات الشخصية في النظامين السعودي والعُماني "دراسة مقارنة، مجلة الدراسات الفقهية والقانونية، المعهد العالي للقضاء، العدد 19، ص33.
د. سعيد خلفان الظاهري، الذكاء الاصطناعي "القوة التنافسية الجديدة"، مركز استشراق المستقبل ودعم اتخاذ القرار، شرطة دبي، العدد (299) دبي، نشرة شهر فبراير 2017.
شادي عبد الوهاب، وإبراهيم الغيطاني، وسارة يحيى، فرص وتهديدات الذكاء الاصطناعي في السنوات العشر القادمة، تقرير المستقبل، ملحق يصدر مع دورية "اتجاهات الأحداث، العدد 27، مركز المستقبل للأبحاث والدراسات المتقدمة، أبو ظبي.
فاطمة عبد العزيز، دور الذكاء الاصطناعي في تعزيز العدالة الناجزة أمام القضاء "دراسة مقارنة مع النظامين القانوني والقضائي في دولة قطر"، رسالة ماجستير، 2023.
د. محمد عبد الظاهر، صحافة الذكاء الاصطناعي "الثورة الصناعية الرابعة" وإعادة هيكلة الأعلام" دار بدائل للنشر والتوزيع، القاهرة، 2018.
ثانيًا: المراجع باللغة الإنجليزية
A.p. getman, oleg m. Yaroshenko, roman v. Shapoval, roman ye. Prokopiev, maryna demura. "the impact of artificial intelligence on legal decisionmaking". International comparative jurisprudence 2 :155-169. https://www.ceeol.com/search/article-detail?id=1210529
Amankwaa, Aaron. McCartney, Carole. (2018). The UK National DNA Database: Implementation of the Protection of Freedoms Act 2012, National Library of Medicine, https://doi.org/10.1016/j.forsciint.2017.12.041
Avasarala, V., & Kumar, A., Robotic Process Automation : Guide for Beginners, 2020).
Conseil d'État. (2019). Rapport PublicIntelligence artificielle et action publique : construire la confiance, servir la performance
De Miguel Beriain Iñigo (2018) Does the use of risk assessments in sentences respect the right to du process ? A critical analysis of the Wisconsin v. Loomis ruling. Law Probab Risk 17(1) :
Ejjami, Rachid. "AI-driven justice : Evaluating the impact of artificial intelligence on legal systems." Int. J. Multidiscip. Res 6, no. 3 (2024) DOI : 10.36948/ijfmr. 2024.v06i03.23969 : 4-5.
Engel, C., Linhardt, L. & Schubert, M. Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism. Artif Intell Law 33, 383–404 (2025). https://doi.org/10.1007/s10506-024-09389-8
Engel, C., Linhardt, L. & Schubert, M. Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism. Artif Intell Law 33, 383–404 (2025). https://doi.org/10.1007/s10506-024-09389-8
Goodfellow, I., Bengio, Y., & Courville, A., Deep Learning, 2016).
Grgić-Hlača N, Zafar MB, Gummadi KP, Weller A (2018) Beyond distributive fairness in algorithmic decision making: feature selection for procedurally fair learning. In : Proceedings of the AAAI conference on artificial intelligence, vol 32
Hanspal, Manindra Singh, and Bijayananda Behera. "Privacy and data protection in ai-driven legal services: an analysis of india's emerging challenges and solutions." Journal of Trends and Challenges in Artificial Intelligenc, Vol. 03, No. 01 (2025) DOI : 10.61552/JAI.2026.02.002 - http://jai.aspur.rs
Ishii, K. Comparative legal study on privacy and personal data protection for robots equipped with artificial intelligence : looking at functional and technological aspects. AI & Soc 34, 509–533 (2019). https://doi.org/10.1007/s00146-017-0758-8
Jackson E, Mendoza C (2020) Setting the record straight : What the COMPAS core risk and need assessment is and is not. Harvard Data Sci Rev 2(1) Engel, C., Linhardt, L. & Schubert, M. Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism. Artif Intell Law 33, 383–404 (2025). https://doi.org/10.1007/s10506-024-09389-8
Jackson E, Mendoza C (2020) Setting the record straight : What the COMPAS core risk and need assessment is and is not. Harvard Data Sci Rev 2(1
Jurafsky, D., & Martin, J. H., Speech and Language Processing, 2020)
Kilic, Muharrem. "Ethical-juridical inquiry regarding the effect of artificial intelligence applications on legal profession and legal practices." J. MARSHALL LJ 14 (2021):
Laptev, V.A., Feyzrakhmanova, D.R. Application of Artificial Intelligence in Justice: Current Trends and Future Prospects. Hum-Cent Intell Syst 4, 394–405 (2024). https://doi.org/10.1007/s44230-024-00074-2
Mitrou, Lilian. "Data protection, artificial intelligence and cognitive services : is the general data protection regulation (GDPR)‘artificial intelligence-proof’ ?" Artificial Intelligence and Cognitive Services : Is the General Data Protection Regulation (GDPR)‘Artificial Intelligence-Proof (2018).
Mostafa Ali Elokaby, Artificial Intelligence Applications in the Egyptian Litigation System : Prospects and Challenges, Arab Journal for Security Studies 2025 ; Volume 41 Issue (1),
Nadjia Madaoui, The Impact of Artificial Intelligence on Legal Systems: Challenges and Opportunités, May 2024, Problems of Legality 1(164):285-303, DOI: 10.21564/2414-990X.164.289266
Osonde A. Osoba, William Welser IV, An Intelligence in Our Image, The Risks of Bias and Errors in Artificial Intelligence, Published Apr 5, 2017
Russell, S. J., & Norvig, P., Artificial Intelligence : A Modern Approach, 2021).
Tara Vasdan, Robot justice : China’s use of Internet courts. This article was originally published by The Lawyer’s Daily, part of LexisNexis Canada Inc https://www.lexisnexis.ca/en-ca/ihc/2020-02/robot-justice-chinas-use-of-internet-courts.page Accessed 7 July 2025
Vartan, Starre. "Racial bias found in a major health care risk algorithm." Scientific American 24 (2019).
Zafar, Ammar. "Balancing the scale: navigating ethical and practical challenges of artificial intelligence (AI) integration in legal practices." Discover Artificial Intelligence 4, no. 1 (2024)
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Modern Journal of Legal Studies

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The users are free to:
- Share — copy and redistribute the material in any medium or format.
- Adapt — remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.









