AlOmran, Nayel
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Artificial Intelligence and Administrative Justice: An Analysis of Predictive Justice in France Nouri, Zouhaier; Salah, Walid Ben; AlOmran, Nayel
Hasanuddin Law Review VOLUME 10 ISSUE 2, AUGUST 2024
Publisher : Faculty of Law, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/halrev.v10i2.5541

Abstract

This article critically analyzes the ethical and legal implications of adopting predictive analytics by the French administrative justice system. It raises a key question: Is it wise to integrate artificial intelligence into the administrative justice system, considering its potential benefits, despite the associated risks, ethical dilemmas, and legal challenges? The research employs a method based on an extensive literature review, a qualitative analysis of the adoption by the French administrative justice of predictive analytics tools, and a critical evaluation of the benefits and issues these tools bring. The study finds that AI can make the administrative justice system more efficient, reduce backlogs, and enhance the consistency and predictability of judicial decisions. However, the study also identifies important risks and serious ethical and legal issues associated with integrating AI tools into the justice system. Especially, AI utilization can lead to the dehumanization of justice and poses real risks to the independence and impartiality of justice. While AI can offer significant benefits to all the stakeholders of the administrative justice system, its integration must be approached with caution. A progressive and responsible approach to AI adoption is necessary to avoid compromising judicial integrity and upholding fundamental justice values. 
Artificial Intelligence and Administrative Justice: An Analysis of Predictive Justice in France Nouri, Zouhaier; Salah, Walid Ben; AlOmran, Nayel
Hasanuddin Law Review VOLUME 10 ISSUE 2, AUGUST 2024
Publisher : Faculty of Law, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/halrev.v10i2.5541

Abstract

This article critically analyzes the ethical and legal implications of adopting predictive analytics by the French administrative justice system. It raises a key question: Is it wise to integrate artificial intelligence into the administrative justice system, considering its potential benefits, despite the associated risks, ethical dilemmas, and legal challenges? The research employs a method based on an extensive literature review, a qualitative analysis of the adoption by the French administrative justice of predictive analytics tools, and a critical evaluation of the benefits and issues these tools bring. The study finds that AI can make the administrative justice system more efficient, reduce backlogs, and enhance the consistency and predictability of judicial decisions. However, the study also identifies important risks and serious ethical and legal issues associated with integrating AI tools into the justice system. Especially, AI utilization can lead to the dehumanization of justice and poses real risks to the independence and impartiality of justice. While AI can offer significant benefits to all the stakeholders of the administrative justice system, its integration must be approached with caution. A progressive and responsible approach to AI adoption is necessary to avoid compromising judicial integrity and upholding fundamental justice values. 
Constitutional Protections of Press and Media Freedoms in Jordan and Indonesia Amid Challenges from Artificial Intelligence and International Legal Frameworks AlOmran, Nayel; Rebhi, Tourkia
Journal of Indonesian Legal Studies Vol. 10 No. 2 (2025): Legal Responses to Technological Innovation and Governance Challenges in Indon
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jils.v10i2.11010

Abstract

The Jordanian Constitution’s protection of press and media freedom faces significant challenges due to the growing body of legislation that criminalizes and punishes media related activities. With increasing regulations restricting freedom of expression, the question arises whether the constitutional framework in Jordan effectively safeguards press freedoms despite these constraints. The situation is further complicated by the influence of international law, which shapes media regulations globally, and a comparison with Indonesia’s legal approach highlights the similarities and differences in how both countries address media freedom and state control. In this context, the impact of artificial intelligence on journalistic integrity and media bias has become a crucial factor. AI technologies are increasingly being employed in Jordan to monitor, filter, and regulate media content, potentially influencing editorial independence and contributing to biased reporting, which raises significant concerns about the ethical use of AI in media regulation. The analysis reveals that while constitutional provisions theoretically protect press and media freedoms, the enactment of various laws, media regulations, and ministerial decisions often contradict these protections, placing significant control in the hands of the ruling authority. This situation is exacerbated by heavy penalties, including imprisonment and exorbitant fines, which restrict the ability of journalists and media outlets to operate freely. Also, some amendments to media laws seem to violate constitutional principles, posing a direct threat to the balance between state authority and media autonomy. In this study, the most important result that have been achieved: Freedom of the press and media is intrinsically linked to a broad range of civil and political rights, and it cannot be discussed in isolation. The protection of this freedom requires strong constitutional guarantees that align with both national laws and international standards. Legal protections must be in place to prevent unjustified restrictions that could limit press and media freedom.