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Henny Saida Flora
Universitas Katolik Santo Thomas
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The Impact of Artificial Intelligence on the Criminal Justice System: Ethical and Legal Challenges Henny Saida Flora; Shanshan Xu; Murphy Xavier; Woolnough Cale; M. Syahputra
Rechtsnormen: Journal of Law Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v2i4.1292

Abstract

Background: Artificial Intelligence (AI) is increasingly being integrated into the criminal justice system, promising to enhance efficiency, accuracy, and decision-making. However, the use of AI also raises significant ethical and legal challenges, including concerns about bias, fairness, transparency, and accountability. These challenges necessitate a thorough examination of AI's impact on the criminal justice system to ensure its benefits are realized without compromising ethical and legal standards. Objective: This study aims to evaluate the impact of AI on the criminal justice system, focusing on the ethical and legal challenges it presents. The research seeks to understand how AI technologies are being implemented, their effects on decision-making processes, and the extent to which they adhere to ethical and legal principles. The goal is to identify best practices and propose solutions to mitigate potential risks. Methods: A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews. Quantitative data were collected from 250 criminal justice professionals, measuring their perceptions of AI's impact on various aspects of the justice system. Qualitative interviews with 40 key stakeholders provided deeper insights into the ethical and legal challenges associated with AI integration. Data were analyzed using statistical methods for the surveys and thematic analysis for the interviews. Results: Findings indicate that AI can significantly enhance the efficiency and accuracy of the criminal justice system but also presents substantial ethical and legal challenges. Issues such as algorithmic bias, lack of transparency, and accountability were frequently highlighted. Best practices identified include implementing rigorous validation processes, ensuring transparency in AI decision-making, and establishing clear accountability frameworks. Conclusion: While AI holds significant promise for improving the criminal justice system, addressing ethical and legal challenges is crucial for its successful integration. Implementing best practices can mitigate risks and ensure that AI technologies are used responsibly. Future research should focus on developing comprehensive guidelines and policies to govern the use of AI in the criminal justice system.
Reform of Criminal Procedure Law in Dealing with Transnational Cyber Crime Henny Saida Flora; Kailie Maharjan; Elladdadi Mark; Jimmy Rian Fernando; Idrus Alghiffary
Rechtsnormen: Journal of Law Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v2i3.1293

Abstract

Background: The rapid advancement of technology has led to a significant increase in transnational cybercrime, posing serious challenges to existing criminal procedure laws. Traditional legal frameworks often fall short in addressing the complexities and borderless nature of cybercrimes, necessitating comprehensive reforms to enhance international cooperation and effective law enforcement. Objective: This research aims to analyze the current inadequacies in criminal procedure laws regarding transnational cybercrime and propose necessary reforms to strengthen legal frameworks, ensuring efficient cross-border cybercrime management. Methodology: This study employs a qualitative research method, including a comprehensive literature review, analysis of existing legal frameworks, and expert interviews. The comparative analysis of different countries' approaches to cybercrime legislation provides insights into best practices and potential improvements. Results: The research findings reveal significant gaps in the current legal procedures, such as jurisdictional challenges, lack of standardized definitions, and inadequate international cooperation mechanisms. The study identifies key areas for reform, including harmonization of cybercrime laws, enhancement of mutual legal assistance treaties, and adoption of advanced technological tools for investigation. Conclusion: The reform of criminal procedure laws is imperative to effectively address transnational cybercrime. The proposed reforms emphasize the need for a unified legal framework, improved international collaboration, and utilization of modern technologies to ensure robust and adaptive legal responses to the evolving nature of cyber threats.  
Effectiveness of the Implementation of Restorative Justice in the Juvenile Criminal Justice System Henny Saida Flora; Harmono Harmono; Livia Alves
Rechtsnormen: Journal of Law Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i1.2068

Abstract

Background. The juvenile criminal justice system has evolved to incorporate restorative justice (RJ) practices, which emphasize repairing harm and rehabilitating offenders through dialogue and reconciliation. The implementation of RJ in juvenile justice systems aims to provide an alternative to punitive measures and encourage offenders to take responsibility for their actions while addressing the needs of victims and communities. Despite its promise, the effectiveness of RJ in reducing recidivism and promoting positive outcomes for juvenile offenders remains underexplored. Objective. This study aims to evaluate the effectiveness of restorative justice practices in the juvenile criminal justice system, focusing on recidivism rates, victim satisfaction, and the rehabilitation of juvenile offenders. The research seeks to assess whether RJ methods contribute to better long-term outcomes compared to traditional punitive approaches. Method. A mixed-methods approach was employed, combining quantitative analysis of recidivism rates and qualitative interviews with juvenile offenders, victims, and justice system professionals involved in RJ programs. Results. The findings show that restorative justice significantly reduces recidivism rates and improves victim satisfaction. Juvenile offenders reported feeling more accountable for their actions, and communities experienced a greater sense of justice and restoration. Conclusion. Restorative justice practices prove to be effective in the juvenile criminal justice system, offering promising alternatives to traditional punitive methods. Policymakers should consider expanding RJ programs to further enhance rehabilitation and community healing.
Artificial Intelligence and Legal Accountability: Challenges for Modern Legal System Henny Saida Flora; Darsis Humah; Ichsan Sjuhudi
Ipso Jure Vol. 3 No. 7 (2026): Ipso Jure - August
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/tngf9q93

Abstract

The rapid diffusion of artificial intelligence (AI) into judicial administration, notarial practice, law enforcement, and financial services has exposed a structural gap between the autonomous, opaque, and self-learning character of algorithmic systems and the anthropocentric assumptions embedded in classical doctrines of legal responsibility. This article examines the extent to which fault-based liability, strict liability, and vicarious liability doctrines remain adequate to address harm generated by AI systems, and evaluates comparative regulatory responses in the European Union, the United States, Singapore, and Indonesia. Employing normative legal research through statutory, comparative, and conceptual approaches, this study finds that existing Indonesian instruments principally the Electronic Information and Transactions Law and the Personal Data Protection Law regulate AI only tangentially and leave algorithmic accountability, auditability, and causation largely unaddressed. By contrast, the European Union's risk-based Artificial Intelligence Act imposes graduated obligations of transparency and human oversight according to risk classification. The article argues for a hybrid accountability model combining risk-tiered liability rules, mandatory algorithmic auditing, statutory human-in-the-loop requirements for high-risk systems, and a dedicated compensation mechanism, as a normative foundation for future Indonesian AI legislation
Co-Authors Abdul, Kartini Maharani Abrori, Abrori Adiasih, Ning Ahmad Burhanuddin, Ahmad Aiman, Muhammad Alghiffary, Idrus Ali Syaifudin, Mohamad Alves, Livia Ambarsari, Ningrum Anastasia Sarjono Andi Hartawati Ari Prabowo Arief Fahmi Lubis Asnal Hafiz Avivi Nur Laila, Siti Bambang Ismaya BENI SETIAWAN Berlian SH.,M.Hum Cale, Woolnough Cindy Mariam Magdalena Rantung Cut Fadhlan Akhyar Dadang Komara Darsis Humah Deassy J.A. Hehanussa Devi Lawra, Rifqi Dolfries Jakop Neununy Dwi Edi Wibowo Dwi Edi Wibowo Dwi Nurahman Dwi Nurahman Dwiprigitaningtias, Indah Edison Edison Egry Winda Nababan Elisabeth Nurhaini Butarbutar Elladdadi Mark Endah Rantau Itasari, Endah Endrawati, Eka Ari Erawati, Ratna Deliana Erwin Erwin Ester Julinda Simarmata, Ester Julinda Etty Sri Wahyuni Fatar Ferdinan Banjarnahor Fathullah Fathullah Feibe Engeline Pijoh Fernando, Jimmy Rian Firmansyah Firmansyah Fradhana Putra Disantara Ganap, Nita Cicilia Gaol, Selamat Lumban Ginanjar, Yudha Godlif Sianipar Grenaldo Ginting Hajriana, Hajriana HARMONO HARMONO Harmono, Harmono Hartawati, A. Hartawati, Andi Hasnia Hasnia Hendri Darma Putra Henry Apan Henry Aspan Herwantono, Herwantono Ica Karina Ichsan Sjuhudi Idrus Alghiffary Indriyana Dwi Mustikarini, Indriyana Dwi Irene Mariane Irsan Rahman Iyos Sutresna Jimmy Nasroen Jimmy Rian Fernando Johannes Johny Koynja Johannes Johny Koynja, Johannes Johny Juliana Jumra, Jumra Kailie Maharjan Khomaini Khomaini Khomaini, Khomaini Kumala, Brik Lina Maulidiana Livia Alves Lumban Gaol, Selamat M. Syahputra Mac Thi Hoai Thuong Maharjan, Kailie Mahfud Ramadhani Maidin Gultom Mark, Elladdadi Maulana, Sandrik Puji Mega Fitri Hertini Miharja, Marjan Munawwarah, Siti Murphy Xavier Mymoonah R. M Sitanggang Nanda Dwi Rizkia Nar Yan Thapa Neni Hardiati Neununy, Dolfries Jakop Ning Adiasih Ningrum Ambarsari ningrum, dedah - Nova Florentina Ambarwati Pinta Nadia Simamora, Pinta Nadia Pratiwi Puwa, Suryani Intan Puspitasari, Dyah Rosiana Putri Maha Dewi, S.H., M.H R. Irma Rachmawati, R. Irma Rahmat Setiawan Ramli, Kaharuddin Rasyid, Mukhawas Reflina Sinaga Rusmana, Dodi Sachsyabillah Dwi Maharani Yusuf Sahata Manalu Sahrul Salmon, Harly Clifford Jonas Samuel Frans Boris Situmorang Saptaning Ruju Paminto Sari, Nurmi Sarjono, Anastasia Seno Wibowo Gumbira2 Shanshan Xu Shintia Alvernia Gorrettie Gijoh Sidabalok, Janus Simbolon, Netty Mewahaty Suhendar Suhendar, Suhendar Suningrat, Nining Suryani Intan Pratiwi Puwa Taqyuddin Kadir Taqyuddin Kadir Thuong, Mac Thi Hoai Tiromsi Sitanggang Woolnough Cale Wulandari Wulandari Xavier, Murphy Xu, Shanshan Yenny Febrianty Yohana Naomi Monica Sembiring Yusuf, Sachsyabillah Dwi Maharani Zuwanda, Zulkham Sadat