Back to search

Article

Artificial Intelligence in AML/CFT: A Criminological Evidence Map and Multilevel Governance Framework for Organised Financial Crime Control

2026-07-22

Abstract excerpt

<title>Abstract</title> <p>This article examines artificial intelligence (AI) in anti-money laundering and countering the financing of terrorism (AML/CFT) as a criminological, legal and regulatory control problem, rather than a financial-technology efficiency exercise. It explores how AI reshapes opportunities for money laundering and terrorist financing, affects AML/CFT legal processes, and dictates the governan...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4579776c-8ead-5306-af6d-3fc3ee57cce8
DOI
10.21203/rs.3.rs-10223819/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Artificial Intelligence in AML/CFT: A Criminological Evidence Map and Multilevel Governance Framework for Organised Financial Crime ControlDOI 10.21203/rs.3.rs-10223819/v1
Select a neighboring publication to make it the new centre.