Countering Terrorism Financing through AI
Year: 2021
Section: Natural Language Processing
Status: Complete
Organization: UN Office of Counter-Terrorism
Collaborative AI initiative to strengthen financial intelligence workflows for counter-terrorism financing investigations.
Outcome: Produced a practical prototype direction for cross-source analysis and investigator-facing workflows under a UN-aligned program.
Methods: Graph analytics, Entity resolution, Risk scoring design, Dashboard prototyping
Problem
Financial intelligence investigations are often siloed across institutions and data systems, which limits early detection and coordinated analysis.
Work
I contributed to a multidisciplinary team that designed and validated AI-assisted investigation workflows, with emphasis on graph-based relationships and usable analyst outputs.
Delivery
The work delivered a clear product and analytics direction that can be extended into operational FIU tooling in future phases.