Удосконалення механізму міжнародного співробітництва у сфері виявлення, розшуку та управління активами, одержаними від корупційних та інших злочинів
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Notice bibliographique
Résumé
The article discusses the mechanism of international cooperation in the field of detection, tracing and management of assets derived from corruption and other crimes, and outlines the regulatory framework of the Institute for Combating Illicit Assets. The fight against illicit assets at the international level is based on the following key agreements and standards: The UN Convention against Corruption (UNCAC); the Council of Europe Convention on Laundering, Search, Seizure and Confiscation of the Proceeds from Crime; the StAR Initiative; and the FATF Recommendations. In Ukraine, the process of returning illegally acquired assets is regulated by a number of legal acts, including: The Criminal Procedure Code of Ukraine, the Law of Ukraine «On the National Agency for Finding, Tracing and Management of Assets Derived from Corruption and Other Crimes», and the Law of Ukraine «On Prevention and Counteraction to Legalization (Laundering) of the Proceeds of Crime». The positive experience of foreign countries in the field of identification, tracing and management of assets obtained from corruption and other crimes is highlighted. The powers of international bodies and the National Agency of Ukraine for Identification, Tracing and Management of Assets Obtained from Corruption and Other Crimes (ARMA) are compared. Attention is drawn to the fact that in international practice, countries such as the USA, Great Britain, Canada and France have bodies and mechanisms similar to Ukrainian ones, which not only coordinate internal measures to identify and manage illegally obtained assets, but also have expanded powers to launch international procedures for the return of these assets. The problems of the mechanisms for the return of illegally acquired property are analyzed and prospects for improving the mechanisms for the return of illegally acquired property are proposed, proposals are made for improving Ukrainian legislation in the field of identification, tracing and management of assets obtained from corruption and other crimes. To improve Ukrainian legislation in the field of the return of illegal assets, it is necessary to: consolidate at the legislative level the powers of ARMA to independently submit international requests for the seizure and return of assets; optimize the procedures for international interaction and expand cooperation with foreign financial institutions and law enforcement agencies; bring national legislation into line with international standards, in particular FATF recommendations and EU norms; introduce effective mechanisms for the prompt exchange of information between ARMA and international structures; strengthen international cooperation in the areas of tracing and return of assets. The article pays attention to improving the effectiveness of international cooperation in combating money laundering, analyzes the provisions of the draft Law № 12446 of 27.01.2025, outlines the challenges that arise in the practical activities of bodies whose activities are related to the identification, tracing and management of assets derived from corruption and other crimes, and emphasizes the importance of introducing effective legal mechanisms for asset recovery to combat corruption and economic crime.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,008 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,006 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle