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1

Slinko, Sergey V., Pylyp S. Yepryntsev, Artem O. Shapar, Dmytro B. Sanakoiev, and Alina H. Harkusha. "Modern indicators of financial crimes detection and their prevention in Ukraine." Revista Amazonia Investiga 10, no. 44 (2021): 61–72. http://dx.doi.org/10.34069/ai/2021.44.08.6.

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The increase in the level of financial crime is caused by the technological development, weak moni-toring of financial institutions, low level of international cooperation in terms of combating these types of crimes. The paper aims to develop effective ways to combat financial crimes in Ukraine. With the help of a systematic analysis of financial crime modern indicators, theoretical sources, prac-tical measures and international experience, the main indicators of financial crimes are identified. Such indicators are the use of false documents and other people's accounts, international payment s
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2

Slinko, Sergey V., Pylyp S. Yepryntsev, Artem O. Shapar, Dmytro B. Sanakoiev, and Alina H. Harkusha. "Modern indicators of financial crimes detection and their prevention in Ukraine." Revista Amazonia Investiga 10, no. 44 (2021): 61–72. http://dx.doi.org/10.34069/ai/2021.44.08.6.

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The increase in the level of financial crime is caused by the technological development, weak moni-toring of financial institutions, low level of international cooperation in terms of combating these types of crimes. The paper aims to develop effective ways to combat financial crimes in Ukraine. With the help of a systematic analysis of financial crime modern indicators, theoretical sources, prac-tical measures and international experience, the main indicators of financial crimes are identified. Such indicators are the use of false documents and other people's accounts, international payment s
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3

Larkin, Mikhail, Viktor Boiarov, Yuliia Pyrozhkova, Oleksandr Melkovskyi, and Yuliia Loboda. "Forensic-linguistic and religious expertise in the investigation of crimes committed by members of youth informal groups (associations) of extremist orientation." Revista Amazonia Investiga 13, no. 74 (2024): 381–91. http://dx.doi.org/10.34069/ai/2024.74.02.32.

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The article explores the unique challenges of conducting forensic-linguistic and religious expertise during the investigation of crimes committed by members of youth informal groups (associations) with extremist leanings. It outlines the specific investigative practices for these types of crimes. The research aims to analyze forensic-linguistic and religious expertise in investigating crimes perpetrated by members of these groups. The importance of these types of expertise is underscored by the rising number of extremism cases among young people, which necessitates innovative identification an
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Myroshnychenko, Nataliia, Dmytro Baranenko, Alina Murzanovska, Zoriana Dilna, and Susanna Suleimanova. "Crimes against humanity in the conditions of military conflicts of the 21st Century: The practice of international courts." Revista Amazonia Investiga 11, no. 54 (2022): 9–17. http://dx.doi.org/10.34069/ai/2022.54.06.1.

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Despite the existence of norms of international public law regulating the conduct of war, during military conflicts, states completely ignore the established rules of war and go beyond common sense, committing crimes against humanity, organizing terrorist acts, and other illegal acts. In conditions where violations of the norms and rules of hostilities become a trend, it is important to investigate how international humanitarian law regulates armed conflicts, as well as the practice of international courts regarding the consideration of cases of crimes against humanity in the context of milita
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Larkin, Mikhail, Olexandr Dudorov, Yuliia Pyrozhkova, Kateryna Dudorova, and Alina Biryukova. "Investigation of Crimes Committed By Members of Youth Informal Groups." Revista Amazonia Investiga 9, no. 29 (2020): 282–87. http://dx.doi.org/10.34069/ai/2020.29.05.32.

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The deterioration of the criminal situation in Ukraine makes it necessary to intensify the work of law enforcement agencies to combat crime. In particular, there is a need to improve the investigation methods of certain types of crimes. This category of crimes includes crimes committed by members of youth informal groups.The object of the study was public relations in the field of investigation of crimes committed by members of youth informal groups. As a result of the study, the features of proposing a version of the involvement of members of a youth informal group in criminal activity are co
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Vazhynskyi, Volodymyr, Mykola Pohoretskyi, Zoriana Toporetska, Andrii Cherniak, and Diana Serhieieva. "Operative and search counteraction to crimes committed in the sphere of activity of institutional investors in Ukraine." Revista Amazonia Investiga 13, no. 76 (2024): 75–82. http://dx.doi.org/10.34069/ai/2024.76.04.6.

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The purpose of this study is to analyze the methods, means and possibilities of operative and search counteraction to crimes committed in the sphere of activity of institutional investors. To achieve this goal, it is necessary to solve the following tasks: analyze the dynamics of crime in the sphere of activity of institutional investors; to characterize the concept and structure of operative and investigative countermeasures against crimes; determine the content of operative and investigative prevention, detection, and documentation of crimes in the field of activity of institutional investor
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7

Pranav, Choudhary. "AI-BASED CYBER CRIMES AND CYBER REGULATIONS: ISSUES AND CHALLENGES." Indian Journal of Law and Society I, no. 8 (2024): 92–110. https://doi.org/10.5281/zenodo.10644601.

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<strong>ABSTRACT</strong> <em>Artificial intelligence (AI) is the science and engineering of creating intelligent machines, particularly computer programs. It has the potential to play a role in criminal acts known as AI-crimes (AIC), which pose threats to cybersecurity, such as stealing sensitive data, hacking and weaponizing autonomous weaponry, social engineering attacks, and political disruption. Currently, there is no regulatory framework targeting AI crimes, and the legal texts do not address the contentious issue of criminal liability for AI. Traditionally, AI has been regulated through
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8

Dsouza, Suzan, Houshang Habibniya, and Rezart Demiraj. "AI, a Provenance or Solution for Financial Crime." Management and Economics Research Journal 7, no. 2 (2021): 1–5. http://dx.doi.org/10.18639/merj.2021.1423084.

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This article consists a review of the existing literature on artificial intelligence (AI) with respect to financial crimes. The purpose is to notify the unintentional bad impacts and intentional good impacts of AI applications in relation to financial crimes. This article has reinforced the discussions stating AI applications to be considered as a solution for financial crimes instead of being criticized as the cause for financial crime. The public and private sectors both need be alert with the unintentional harm caused by cybercrime. The current behavior of AI is considered as an accelerator
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9

Tymoshenko, Yuriy P., Oleksandr I. Kozachenko, Dmytro P. Kyslenko, Maryna S. Horodetska, Maryna V. Chubata, and Serhii S. Barhan. "Latest technologies in criminal investigation (testing of foreign practices in Ukraine)." Revista Amazonia Investiga 11, no. 51 (2022): 149–60. http://dx.doi.org/10.34069/ai/2022.51.03.14.

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The aim of the article was to identify a set of innovative technologies in the field of investigation of crimes that can be tested in Ukraine. The leading research methods were the method of comparison, observation and comparative method. The activities of law enforcement agencies in the field of combating crime and ensuring the introduction of innovative technologies in the investigation of crimes were analyzed in the course of this research. It is substantiated that Ukraine is going through high-quality reform and legislative innovations, taking into account the best world practices. It is c
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10

Kim, Byung Soo. "Problems and Improvements of AI Crime Prediction System for Corruption Crime." Korea Association for Corruption Studies 27, no. 2 (2022): 121–44. http://dx.doi.org/10.52663/kcsr.2022.27.2.121.

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Corruption crime is not limited to the deviance of one actor, but is a crime with destructive power that can destroy the social structure. Although the state and society are making great efforts to reduce corruption crime, it is not easily detected or completely eradicated due to the confidentiality and customary nature of corruption crime. Therefore, it is necessary to explore whether there is an effective way to reduce corruption by introducing an AI crime prediction system. This is because many countries are already seeing a positive effect of reducing the crime rate by introducing AI crime
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Vasylynchuk, Viktor, Valentyn Kovalenko, Viacheslav Nekrasov, Oleksii Kopan, and Roman Shchupakivskyi. "Forensic prevention of crimes in criminal investigation techniques." Revista Amazonia Investiga 10, no. 46 (2021): 162–68. http://dx.doi.org/10.34069/ai/2021.46.10.15.

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The purpose of the article is to determine the place and role of forensic prevention in the structure of methods of investigation of certain types of crimes. The subject of research is the concept and features of forensic prevention. The research methodology includes general scientific and special methods of legal science: historical and legal method; structural and functional method; system and structural method, logical and semantic analysis method, formal and legal analysis method. Research results. The issues related to the characteristics of forensic crime prevention are considered. Diffe
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Lankevych, Andrii, Oleh Zaverukha, Rostyslav Sopilnyk, Oleksandr Havrylenko, and Olha Podilchak. "The ICC jurisdiction in Ukraine: challenges and opportunities in the fight against impunity." Revista Amazonia Investiga 13, no. 77 (2024): 270–79. http://dx.doi.org/10.34069/ai/2024.77.05.20.

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This article examines the legal relationship between the International Criminal Court (ICC) and Ukraine, a non-party to the Rome Statute, focusing on the scope of the Court's jurisdiction to consider Ukraine's referrals regarding serious crimes committed on its territory since 2014. Discussions regarding the extension of the ICC's jurisdiction over Ukraine commenced in 2014-2015 following Ukraine's two requests for recognition of the ICC's ad hoc jurisdiction. Following the full-scale invasion in 2022, the ICC consolidated these proceedings with the ongoing investigation of crimes committed in
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Tsymbal, Petro, Ganna Vlasova, Hanna Nikitina-Dudikova, Natalia Kharchenko, and Iryna Soroka. "International cooperation in the investigation of sexual crimes against children." Revista Amazonia Investiga 10, no. 40 (2021): 132–41. http://dx.doi.org/10.34069/ai/2021.40.04.14.

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Family, childhood, motherhood, and fatherhood are protected by the state. Any violence against and exploitation of a child is punishable by law. Parents should take care of their child's health, physical, spiritual, and moral development. However, society is increasingly facing sexual violence against minors. Insufficient response to sexual violence against minors is due to the latency of this type of crime, lack of awareness of proper prevention entities with the peculiarities of sexual violence against children, improper functioning of the mechanism of interaction, and international cooperat
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14

Al-Makaneen, Monther Sami Abdulrhman. "Criminal Responsibility for AI Crimes." International Journal of Religion 5, no. 12 (2024): 905–15. http://dx.doi.org/10.61707/85w2ay97.

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The research focused on the issue of which crimes fall under the jurisdiction of artificial intelligence. The incorporation of AI programs into different aspects of life entails many challenges, especially regarding the liability for the actions performed by AI and the question of compatibility of the existing legislation with the characteristics of the AI technologies. The state of affairs means that the AI-powered robots may perform actions that prescribe criminal provisions of criminal law, thus raising the issue in the given article as to the possibility of direct criminal penalties for ro
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15

Karchevskyi, Mykola Vitaliiovych, and Oleksandr Eduardovych Radutniy. "Artificial intelligence in Ukrainian traditional categories of criminal law." Herald of the Association of Criminal Law of Ukraine 1, no. 19 (2023): 1–25. http://dx.doi.org/10.21564/2311-9640.2023.19.281123.

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At the request of the International Association of Criminal Law (AIDP-IAPL, Association International de Droit Pénal – a non-governmental organization on criminal law, Paris, France) within the framework of the XXI International Congress of Criminal Law "Artificial Intelligence and Criminal Justice", a subgroup of the Ukrainian national group of AIDP-IAPL in two scientists prepared detailed answers to questions about ▪ definition and legal qualification of Artificial Intelligence system (legal definition of AI system in Ukrainian law, Ukrainian AI-based systems for predictive policing, legal d
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16

H M, Rakshitha. "CRIME PATTERN PREDICTION USING ML ALGORITHMS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34713.

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Today the crimes are increasing rapidly that too in a high population countries. So we require automated application to detect crime and prevention. The system should stop crimes before it begins. As crimes are on the rise, preventive measures should be taken to stop the occurring of crimes. Finding frequent crimes and related correlation is tiresome and a high-effort task in the current crime sector. machine learning or AI, is an emerging technology to solve this problem. Previously effective unsupervised learning algorithms datasets for procedural crime training and frequent crimes and their
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17

Hryhorenko, Andrii, Oleh Musiienko, Viktoriia Boiko-Dzhumelia, Andrii Sakovskyi, and Anna Myrovska. "Reconstruction as a method of crime investigation." Revista Amazonia Investiga 10, no. 45 (2021): 113–19. http://dx.doi.org/10.34069/ai/2021.45.09.12.

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The purpose of the article is to analyze the method of reconstruction as one of the general scientific methods of criminology used in the investigation of crimes. The subject of research is the method of reconstruction in forensic science. The research methodology includes the use of general scientific and special methods of scientific cognition: dialectical, historical and legal, formal and logical, comparative and legal, logical, system and structural methods, method of generalization. Research results. General scientific methods of criminology and their significance for crime investigation
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Kaliuzhnyi, Aleksandr, Nikolai Shurukhnov, and Oleg Karpushkin. "Psychological and physiological characteristics of criminals and victims of crimes of personal freedom based on Russian criminal cases." Revista Amazonia Investiga 9, no. 29 (2020): 472–81. http://dx.doi.org/10.34069/ai/2020.29.05.52.

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A person’s personality is a carrier of individual, unique signs and traits that depend on its nature and are formed during life experience, including during the commission of crimes. We studied 320 criminal cases of violations of personal freedom (kidnapping, human trafficking, the use of their slave labor, etc.), as well as an analysis of the scientific literature that made it possible to substantiate the characteristics of criminals and their victims. As a result of the study, criminals and their victims were classified into groups. The features of these groups were characterized. The study
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Shepitko, Valery, Mykhaylo Shepitko, Kateryna Latysh, Mariietta Kapustina, and Evgeniya Demidova. "Artificial intelligence in crime counteraction: From legal regulation to implementation." Social Legal Studios 7, no. 1 (2024): 135–44. http://dx.doi.org/10.32518/sals1.2024.135.

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The research relevance is determined by artificial intelligence (AI) as one of the ways to guarantee public safety and increase the effectiveness of law enforcement agencies. The study aims to investigate whether AI can be used in the legal system, with a particular focus on forensics and crime fighting. To achieve the research goal, the following methods were used: comparative legal, formal legal, historical legal, systemic and structural, and theoretical and prognostic. The article examines the use of AI in the legal sector from different perspectives and identifies “high- risk” AI systems.
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20

Larkin, Mikhail, Viktor Boiarov, Volodymyr Buha, Ivan Kubariev, and Yuliia Loboda. "Combating political crimes committed by members of informal youth groups." Revista Amazonia Investiga 10, no. 41 (2021): 106–13. http://dx.doi.org/10.34069/ai/2021.41.05.10.

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In modern conditions of the development of public relations and political life, criminal activity in Ukraine is changing and transforming. In such transformational conditions, the commission of political crimes by members of informal youth groups is becoming more widespread. Given the above, the need to analyze political crimes committed by members of informal youth groups, methods, and means of combating such crimes, including foreign positive experience, becomes especially relevant. The work aims to analyze the means and methods of combating political crimes committed by members of such grou
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Lisitsyna, Yuliya, Lyudmila Gurtieva, Andriy Pavlyshyn, Karina Lukashchuk, and Elnur Zakir Nuriyev. "Corruption Crimes and Peculiarities of their Investigation Procedure under Martial Law." Revista Amazonia Investiga 11, no. 54 (2022): 41–49. http://dx.doi.org/10.34069/ai/2022.54.06.4.

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The military aggression of the Russian Federation radically changed the life of every Ukrainian, the main priorities of politicians, and the court trial procedures. But even though the whole country rallied against a common enemy, corruption crimes have not disappeared and continue to be committed. With the introduction of martial law, the criminal procedural legislation and the procedure for investigating corruption crimes have changed. Therefore, it is important to analyze the innovations of corruption legislation, single out the most common crimes, and investigate the peculiarities of the p
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Vynohradova, Anna, Vladyslav Kutsenko, Andriy Tymchyshyn, Liudmyla Dunaievska, and Natalia Olkchova-Marchuk. "Investigation of criminal offenses in the field of tourism through technical means." Revista Amazonia Investiga 13, no. 73 (2024): 344–54. http://dx.doi.org/10.34069/ai/2024.73.01.29.

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Tourists are frequent victims of criminal offences, but the investigation of such crimes is usually complicated by several factors, which allow offenders to often stay unpunished. The aim of the research is to study the possibilities of using technical equipment during detection, investigation, and prevention of crimes against tourists. The research employed a doctrinal approach, a statistical method and other methods. The study identified the factors of victimization of tourists and the main scenarios under which crimes are committed. The main areas of application of technical equipment for t
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Nalin, Egeria. "Le iniziative internazionali e dell'UE rispetto ai crimini compiuti nella guerra in Ucraina." Colloquium 9788855130974 (June 2023): 69–79. http://dx.doi.org/10.7359/097-2023-nale.

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The present article analyses the International Community and the EU initiatives to prosecute the international crimes allegedly committed in the Russian-Ukrainian war, taking into particular account the role of the International Criminal Court and the proposals to establish an international ad hoc mechanism to prosecute the crime of aggression against Ukraine. Since aggression is “a leadership crime”, this raises the issue whether immunity from criminal jurisdiction provided by international customary law for Heads of State, Heads of Government and Ministries of Foreign Affairs, extends to the
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24

Mohamed Gamil Zakaria. "AI Applications in the Criminal Justice System: The Next Logical Step or Violation of Human Rights." Journal of Law and Emerging Technologies 3, no. 2 (2023): 233–57. http://dx.doi.org/10.54873/jolets.v3i2.124.

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Artificial intelligence (AI) is impacting almost every aspect of our lives, and automated decisions have begun to replace human decisions. Recently, criminal justice has also turned to AI to reduce crime rates and achieve effective action on the ground. Artificial intelligence and machine learning algorithms (ML) could predict and track crimes and criminals. In addition, they could be used in criminal courts. However, there is ample evidence that the application of this technology has affected basic human rights. In several countries, law enforcement agencies (LEAs), i.e., government agencies
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Stupnyk, Iaroslav, Yuliya Lisitsyna, Oleksiy Avramenko, Liudmyla Abakina-Piliavska, and Anastasiia Khylchenko. "The international criminal court and the un criminal court in resolving war crimes: Legal realities and future prospects." Revista Amazonia Investiga 11, no. 60 (2022): 187–96. http://dx.doi.org/10.34069/ai/2022.60.12.20.

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In the conditions of the Russian Federation's military aggression against Ukraine, a large number of war crimes committed by Russia on the territory of Ukraine, it is important to study international courts in the field of criminal justice and understand the legal realities and prospects for solving war crimes at the international level. The purpose of the work is a scientific analysis of the legal realities of the resolution of war crimes by the International Criminal Court and the UN Criminal Court, as well as forecasting the future prospects of the activities of these judicial institutions.
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Dumchikov, Mykhailo, Andrii Fomenko, Oleksandr Yunin, Volodymyr Pakhomov, and Yuliia Kabenok. "The essence and classification of cybercrime in the field of computer information." Revista Amazonia Investiga 11, no. 51 (2022): 291–99. http://dx.doi.org/10.34069/ai/2022.51.03.29.

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Cimes in the field of computer information have become pressing issue in society today. Its relevance is evidenced by news from around the world, criminal statistics, problematic issues in the science of criminal law, as well as problems in criminal proceedings. All this is due to the fact that as a phenomenon, crimes in the field of computer information belong to the very specific category that is constantly evolves technological progress. The purpose of the article is to study the phenomenon of crimes in the field of computer information, to define the concept of crimes in the field of compu
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Buhaiov, Yaroslav Y., Oleh P. Koretskyi, Viktoriia V. Koretska, Serhii V. Penkov, and Artem O. Shapar. "International experience of crime investigation in the field of human trafficking." Revista Amazonia Investiga 10, no. 47 (2021): 161–72. http://dx.doi.org/10.34069/ai/2021.47.11.16.

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The paper aims to define an effective anti-human trafficking system in Ukraine. On the basis of theoretical information and international experience systematic analysis, the peculiarities of investigating crimes in the field of human trafficking are identified: timely receipt of information concerning crimes commission, assigning a case of human trafficking to an investigator or prosecutor with positive experience in detecting such crimes, cooperation of law enforcement agencies with each other and law enforcement agencies of other states in regard to effective ways of such crimes investigatio
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Oliinyk, Olena, Vasyl Farynyk, Andrii Vozniuk, Olena Volobuieva, and Oksana Beryslavska. "The principles of criminal law in the aspect of protection of constitutional rights of citizens." Revista Amazonia Investiga 9, no. 27 (2020): 445–59. http://dx.doi.org/10.34069/ai/2020.27.03.49.

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Description. The purpose of the article is to identify the subject of crimes related to the violation of confidentiality of telephone conversations transmitted by means of communication or through a computer, to qualify the criminal activity properly and to distinguish them from other crimes and misdemeanors. The purpose of the article also covers the issues of the principles of criminal law, which can solve the problems of formulating certain rules of the law on criminal liability, designed to protect the constitutional rights and freedoms of an individual. Methodology. In the course of the s
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Tymchyshyn, Andriy, Anna Semeniaka, Serhii Bondar, Nataliia Akhtyrska, and Olena Kostiuchenko. "The use of big data and data mining in the investigation of criminal offences." Revista Amazonia Investiga 11, no. 56 (2022): 278–90. http://dx.doi.org/10.34069/ai/2022.56.08.27.

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The aim of this study was to determine the features and prospects of using Big Data and Data Mining in criminal proceedings. The research involved the methods of a systematic approach, descriptive analysis, systematic sampling, formal legal approach and forecasting. The object of using Big Data and Data Mining are various crimes, the common features of which are the seriousness and complexity of the investigation. The common tools of Big Data and Data Mining in crime investigation and crime forecasting as interrelated tasks were identified. The creation of databases is the result of the proces
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Myroshnychenko, Nataliia, Malahat Hajiyeva, Alina Murzanovska, Ruslan Shekhavtsov, and Yaryna Tesliuk. "Digitization of combating drug crime (including juvenile) as the need of the time: international legal analysis." Revista Amazonia Investiga 11, no. 58 (2022): 161–67. http://dx.doi.org/10.34069/ai/2022.58.10.17.

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An essential component of the activity of law enforcement units is combating crimes in the field of drug trafficking. In the conditions of digitalization, significant attention is paid to the digitalization of methods of combating crimes in this field. Therefore, it is necessary to examine the international legal experience of digitalization of methods of combating crimes in the field of drug trafficking. The research methodology includes such methods as theoretical methods (identification and resolution of contradictions, problem statement, hypothesis creation, analysis, synthesis, comparison
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Shulzhenko, Nadiia, Snizhana Romashkin, Oleksii Shulzhenko, and Sergii Mokhonchuk. "Implementation of international crimes under the Rome Statute into national legal systems." Revista Amazonia Investiga 9, no. 28 (2020): 528–35. http://dx.doi.org/10.34069/ai/2020.28.04.57.

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The present research paper describes the most traditional ways of Implementation of Rome Statute. The main section of the paper concerns the effect of adopting Core crimes in different countries as well as determine key way of such implementation and its practical results. Such description aims to comprehend and compare the practical questions which arise in the prism of implementation of International Crimes, as well as find good practical answers which are based on states’ experience. Most issues, which will be introduced in this article should answer following important questions: first is
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Arkusha, Larysa, Oleh Dykyi, Nataliia Fedchun, Mariia Diachkova, and Bogdan Osadchyi. "The effect of digitalization on the extent of criminal activity in the context of the pandemic." Revista Amazonia Investiga 12, no. 64 (2023): 257–62. http://dx.doi.org/10.34069/ai/2023.64.04.25.

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The process of digitalization has impacted various aspects of social life, and the growth of digital technologies has led to significant changes in communication in society. During the pandemic, digitalization has been particularly noticeable as it has enabled continuous communication despite restrictions. However, this has also affected the level of crime, and it is crucial to understand how digitalization has impacted crime rates globally. This study aims to investigate the specifics of digitalization's impact on crime during the pandemic, examining the causal relationship between the two. T
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Shulha, Andriy, Andrii Tkach, Yevheniia Murzo, Maryna Horodetska, and Tetiana Sokur. "Forensic information sources during the investigation of war crimes." Revista Amazonia Investiga 12, no. 71 (2023): 103–16. http://dx.doi.org/10.34069/ai/2023.71.11.9.

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The relevance of studying the forensic information sources in the investigation of war crimes is determined by the specifics of these acts, the impact of the armed conflict on the activities of law enforcement officers, and the need for information exchange between national and international agencies. The aim of the study is to determine the specifics of working with forensic information sources in the investigation of war crimes. The research employed the logical method, comparative method, forecasting. The commission of war crimes in wartime determines the specifics of the choice of forensic
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Yaremko, Galyna, Natalia Ivanova, Zhanna Mandrychenko, and Oksana Gorpyniuk. "Criminal and legal protection of national security: Problems of systematization of crimes." Revista Amazonia Investiga 10, no. 47 (2021): 207–15. http://dx.doi.org/10.34069/ai/2021.47.11.21.

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The chief idea of criminal law is to protect the individual, society, and the state from criminal encroachment. Defined by the legislator in the field of protection - the basics of national security, life and health, public safety, environment, etc. are subject to comprehensive research to improve the effectiveness of criminal law protection, which is of great practical importance. The foundations of national security are a multifaceted construction that requires detailed analysis. This work is devoted to the study of the conceptual foundations of systematization of crimes against the foundati
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Stepaniuk, Ruslan, Mikhailo Shcherbakovskyi, Vasyl Kikinchuk, Iryna Petrova, and Vadym Babakin. "Problems of investigation of medical crimes in Ukraine." Revista Amazonia Investiga 11, no. 57 (2022): 39–47. http://dx.doi.org/10.34069/ai/2022.57.09.4.

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In the article, the authors identified the main reasons for the low level of investigation of medical crimes in Ukraine based on the analysis of 78 criminal cases of medical malpractice considered by courts since 2013, the study of statistical information, scientific literature on the problems of investigating medical crimes, national legislation. It was concluded there are significant problems with the investigation of medical crimes in Ukraine. Less than one percent of the number of initiated criminal cases is sent to court. Most of the cases sent to court end with a guilty verdict, however,
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Voskobitova, Lydiya, Tatyana Vilkova, Sergey Nasonov, Maxim Khokhryakov, and Yuri Reshetnikov. "Illegal circulation of digital currencies: features of criminal investigation." Revista Amazonia Investiga 10, no. 45 (2021): 252–64. http://dx.doi.org/10.34069/ai/2021.45.09.25.

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The purpose of the study is to analyze the international and national legal regulation of the digital currencies circulation at the present stage, to assess the state of crime with the illegal use of these assets, to identify the features of the investigating such crimes and to substantiate proposals aimed at improving legislation and law enforcement practice. The following methods were used in the research: normative and comparative legal – in the analysis of legislation and practice of seizure and confiscation of digital currencies in different states, to identify the strengths and weaknesse
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Nurmansyah, Gunsu, I. Gede Arya Bagus Wiranata, A. Irzal Fardiansyah, and Stanislav Vladimirov Mladenov. "Preventing AI-based phishing crimes across national borders through the reconstruction of personal data protection laws." Jurnal Hukum Novelty 15, no. 2 (2024): 286–311. https://doi.org/10.26555/jhn.v15i2.27558.

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Introduction to The Problem: This study focuses on a new form of cybercrime due to advancing technology: AI-based phishing crimes. These crimes involve using artificial intelligence to misuse personal data on digital platforms or applications. Such illicit activities have significant implications and require attention. One significant threat in this context is the rise in AI-based phishing crimes, where attackers use sophisticated AI algorithms to deceive individuals and gain access to their data and information. Establishing solid and comprehensive personal data protection laws is critical to
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Hassan, F. M., and N. D. Osman. "AI-Based Autonomous Weapons and Individual Criminal Responsibility Under the Rome Statute." Journal of Digital Technologies and Law 1, no. 2 (2023): 464–80. http://dx.doi.org/10.21202/jdtl.2023.19.

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Objective: international law obligates states to prosecute those who have violated laws in armed conflicts, particularly when the international community now has International Criminal Court (ICC).That is why the aim of the paper is to discover the responsibility for the crimes made with the use of AI-based autonomous vehicles in accordance with the provisions of the Rome Statute of the ICC.Methods: doctrinal analysis allowed to research the positions of experts on the responsibility for the crimes made with the use of AI-based autonomous vehicles in accordance with the provisions of the Rome
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Dremliuga, Roman, and Natalia Prisekina. "The Concept of Culpability in Criminal Law and AI Systems." Journal of Politics and Law 13, no. 3 (2020): 256. http://dx.doi.org/10.5539/jpl.v13n3p256.

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This article focuses on the problems of the application of AI as a tool of crime from the perspective of the norms and principles of Criminal law. The article discusses the question of how the legal framework in the area of culpability determination could be applied to offenses committed with the use of AI. The article presents an analysis of the current state in the sphere of criminal law for both intentional and negligent offenses as well as a comparative analysis of these two forms of culpability. &#x0D; &#x0D; Part of the work is devoted to culpability in intentional crimes. Results of ana
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Cherniei, Volodymyr, Serhii Cherniavskyi, Alexander Dzhuzha, and Viktoria Babanina. "Combating credit fraud: experience of Ukraine and some other European Countries." Revista Amazonia Investiga 10, no. 42 (2021): 93–102. http://dx.doi.org/10.34069/ai/2021.42.06.9.

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The article is devoted to the study of the peculiarities of combating fraud in the field of finance, in particular, combating crimes in the field of lending. The experience of Ukrainian law enforcement agencies in combating credit fraud has been studied. The experience of some European Union countries in combating financial fraud is analyzed. To achieve the goal of the paper a set of general scientific and special methods was used, such as method of system-structural analysis, dogmatic (formal-logical), historical, general sociological, comparative-legal method and others. It is concluded in t
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Bessonov, Aleksey. "The Use of Information Technologies in Crime Investigation." Siberian Criminal Process and Criminalistic Readings, no. 1 (35) (April 11, 2022): 94–100. http://dx.doi.org/10.17150/2411-6122.2022.1.94-100.

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The digitization of various spheres of state and public life not only gives rise to new ways of committing crimes, but also presents new opportunities for crime investigation work. In the modern world, the products of digitization are an important source of evidentiary and search information, they also act as an instrument of detecting and studying digital traces in crime investigation. A separate sphere of research is algorithms of artificial intelligence, and the possibilities of using them in criminalistics and the investigation of criminal activities. Serial crimes are used as an example t
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Istiqomah Istiqomah, Mutiasih Savanah Puti Dinanty, and Surwangi Resti Anggun Saputri. "Kedudukan Hukum Deepfake AI sebagai Subjek Hukum dan Pertanggungjawaban Pidananya Berdasarkan Teori Dualistis." Deposisi: Jurnal Publikasi Ilmu Hukum 3, no. 2 (2025): 59–74. https://doi.org/10.59581/deposisi.v3i2.5065.

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Deepfake technology, a product of artificial intelligence, is widely discussed by the public because of its sophistication in replacing the face of the original subject with the face of another subject in the form of a video or photo. This has been misused to create non-consensual pornographic content that has claimed many victims. Over time, this abuse has been facilitated by the spread of the Telegram conversation application. The abused content is then disseminated by the perpetrators on social media and traded. The research method used in this research is normative juridical research which
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Filashkin, Vadym, Mykola Stoianov, Alina Murzanovska, Daria Balobanova, and Ruslan Komisarchuk. "Theoretical and praxeological foundations of investigating crimes against freedom, honor, and dignity in Ukraine during wartime." Revista Amazonia Investiga 13, no. 82 (2024): 251–63. https://doi.org/10.34069/ai/2024.82.10.20.

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During armed conflict, human rights violations such as illegal detentions, torture, and enforced disappearances significantly increase, threatening citizens' rights and freedoms. Investigating these crimes in wartime presents unique challenges, including limited access to evidence and the safety risks for victims and witnesses. Effective pre-trial investigations are crucial for justice, restoring victims' rights, and holding perpetrators accountable, which also strengthens public trust in the criminal justice system. This article aims to analyze the theoretical and praxeological foundations of
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Movchan, Roman, Andrii Vozniuk, Dmitriy Kamensky, Iryna Koval, and Olga Golovko. "Criminal and legal protection of land resources in Ukraine and Latin America: comparative legal analysis." Revista Amazonia Investiga 11, no. 51 (2022): 328–36. http://dx.doi.org/10.34069/ai/2022.51.03.33.

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The purpose of the article is to conduct a comparative study of criminal law protection of land resources under the law of Ukraine and Latin America states. Based on the results of such study, positive experience will be identified, which should be taken into account in the process of further improvement of domestic criminal law, as well as negative practices aimed at avoiding its implementation in Ukraine. During the course of covering legal framework in selected countries, proving the hypotheses, substantiating conclusions a wide range of scientific methods has been used. Among them are the
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P, Sundari. "A Systematic Review on the use of Machine Learning and Deep Learning Techniques for Crime Prediction from Social Media." international journal of advanced research in computer science 15, no. 1 (2024): 22–29. http://dx.doi.org/10.26483/ijarcs.v15i1.7046.

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The goal of crime prediction is to help law enforcement authorities to prevent crimes before they happen by identifying and reducing potential future crimes. In present days, crime cases are rapidly occur so it is a challenging task to accurately predict and classify the future crimes, as criminal patterns are adaptable and constantly evolve, making it a challenging task. Sentiment analysis is essential for deciphering the feelings conveyed in text since social media has grown into a popular venue for individuals to communicate their thoughts, feelings, views, and comments. This analysis is pa
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Boiarov, Viktor, Mikhail Larkin, Olexandr Dudorov, Yuliia Pyrozhkova, and Kyrylo Legkykh. "Interrogation of the victims during the investigation of crimes committed by youth extremist groups." Revista Amazonia Investiga 9, no. 28 (2020): 281–87. http://dx.doi.org/10.34069/ai/2020.28.04.31.

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For several years in Ukraine and in other countries, the activity of informal criminal groups, in particular, of the youth groups, can be observed. Thus, there is a need for theoretical understanding of the activities of the respective criminal groups in order to make proposals for improving the current criminal procedural legislation. The article emphasizes the importance of evidential information that can be obtained during the interrogation of victims of crimes committed by youth informal groups of extremist orientation. In this connection, the authors have considered: 1) the features of th
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El-Mahrouki, Mayada Moustafa. "LEGISLATIVE INDUSTRY CHALLENGES IN CONFRONTING ARTIFICIAL INTELLIGENCE CRIMES." Journal of Law and Sustainable Development 12, no. 4 (2024): e3566. http://dx.doi.org/10.55908/sdgs.v12i4.3566.

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Objectives: The objective of this scientific paper is to shed light on the challenges facing the legislative industry in the field of artificial intelligence (AI) technologies. Specifically, it aims to anticipate and predict the difficulties related to creating an independent legal personality for AI tools, enabling them to assume rights and obligations, as well as establishing criminal responsibility and punishment in cases where AI technologies commit crimes punishable by law.&#x0D; &#x0D; Methods: To achieve the stated objectives, this paper employs a theoretical and analytical approach. It
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Kwon, Eunseo, Sungwon Jung, and Jaewook Lee. "Artificial Neural Network Model Development to Predict Theft Types in Consideration of Environmental Factors." ISPRS International Journal of Geo-Information 10, no. 2 (2021): 99. http://dx.doi.org/10.3390/ijgi10020099.

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Crime prediction research using AI has been actively conducted to predict potential crimes—generally, crime locations or time series flows. It is possible to predict these potential crimes in detail if crime characteristics, such as detailed techniques, targets, and environmental factors affecting the crime’s occurrence, are considered simultaneously. Therefore, this study aims to categorize theft by performing k-modes clustering using crime-related characteristics as variables and to propose an ANN model that predicts the derived categorizations. As the prediction of theft types allows people
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Racoveanu, Cornel. "Artificial Intelligence – a Double-Edged Sword. Organized Crime`s AI vs Law Enforcement`s AI." Proceedings of the International Conference on Business Excellence 18, no. 1 (2024): 507–17. http://dx.doi.org/10.2478/picbe-2024-0044.

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Abstract Organized crime has acquired new values in the context of the geopolitical, social and economic transformations that the states are currently facing, expanding their ramifications at the international level. Conflicts often create opportunities that lead to the increasing of the organized crime, amplifying the threat that criminal groups can pose to domestic security. The heightened dynamics of the international security environment and, in particular, the instability with the potential for contagion manifested in the Eastern neighborhood and in the Middle East, potentiates the risks
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Al Qatawneh, Ibrahim Suleiman, Ahmed Fekry Moussa, Maher Haswa, Zeyad Jaffal, and Jamal Barafi. "Artificial Intelligence Crimes." Academic Journal of Interdisciplinary Studies 12, no. 1 (2023): 143. http://dx.doi.org/10.36941/ajis-2023-0012.

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The rapid evolution of information and communication technologies and the diversity of interconnection networks have been significant factors in broadening the application do-mains of such technologies. Consequently, so-called artificial intelligence crimes (AIC) have emerged involving a corresponding rise in criminality figures, affecting individuals' rights and freedoms. The emergence of AI-related crimes has triggered many challenges for the judiciary nationally and internationally. Thereby, jurisprudence and the judiciary must consider whether the existing provisions of law are sufficient
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