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AML/CFT/CPF endeavors in the crypto space: from blockchain analytics to machine learning
POCHER, Nadia; Zichichi, Mirko; Ferretti, Stefano
2023In Proceedings of Artificial Intelligence Governance Ethics and Law (AIGEL)
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Keywords :
AML/CFT/CPF; blockchain; analytics; machine learning; cryptocurrency
Abstract :
[en] Financial applications of distributed ledger technologies (DLTs) generate regulatory concerns. In the crypto sphere, pseudonymity may safeguard privacy and data protection, but lack of identifiability cripples investigation and enforcement. This challenges the fight against money laundering and the financing of terrorism and proliferation (AML/CFT/CPF). Nonetheless, forensic techniques trace transfers across blockchain ecosystems and provide intelligence to regulated entities. This working paper addresses anomaly detection in the crypto space, the role of machine learning, and the impact of disintermediation.
Disciplines :
Law, criminology & political science: Multidisciplinary, general & others
Author, co-author :
POCHER, Nadia ;  Universitat Autònoma de Barcelona ; Alma Mater Studiorum Università di Bologna ; Katholieke Universiteit Leuven - KUL
Zichichi, Mirko
Ferretti, Stefano
External co-authors :
yes
Language :
English
Title :
AML/CFT/CPF endeavors in the crypto space: from blockchain analytics to machine learning
Publication date :
30 October 2023
Event name :
Workshop on Artificial Intelligence Governance Ethics and Law (AIGEL)
Event place :
Barcelona, Spain
Event date :
from 02-11-2022 to 19-12-2022
Audience :
International
Main work title :
Proceedings of Artificial Intelligence Governance Ethics and Law (AIGEL)
Publisher :
CEUR Workshop Proceedings
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything
Funders :
CE - Commission Européenne [BE]
Union Européenne [BE]
Available on ORBilu :
since 10 July 2023

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