This repository is related to an unpublished research project on explainable AI for anti-money laundering (AML) triage in blockchain transaction graphs.
The project explores how suspicious transaction subgraphs can be ranked, explained, and routed under limited analyst review capacity.
The project investigates an explainable decision-support approach for AML workflows. Instead of treating suspicious transaction detection only as a binary classification problem, the system focuses on analyst attention allocation: which cases should be reviewed first, why they are prioritized, and how they should be routed.
- Explainable AI
- Anti-Money Laundering
- Blockchain Transaction Graphs
- Graph-Based Machine Learning
- Decision Support Systems
- Analyst Triage and Prioritization
This work is currently unpublished and is being prepared for academic publication.
No DOI, proceedings reference, or formal citation is available at this stage.
Eva Ticina [0009-0004-2478-4054]
Comenius University in Bratislava, Odbojárov 10, 820 05 Bratislava, Slovakia
evaticina@uniba.sk
Natalia Kryvinska [0000-0003-3678-9229]
Comenius University in Bratislava, Odbojárov 10, 820 05 Bratislava, Slovakia
Natalia.Kryvinska@uniba.sk
Olexandr Hynku