FinCEN Artificial Intelligence System: Identifying Potential Money Laundering From Reports of Large Cash Transactions (From Counterdrug Law Enforcement: Applied Technology for Improved Operational Effectiveness International Technology Symposium, Part 1, P 1-33 - 1-47, 1995, Albert E Brandenstein, e

• NCJ Number: 162635
• Author(s): T E Senator; H G Goldberg; J Wooton; M A Cottini; A F U Khan; C D Klinger; W M Llamas; M P Marrone; R W H Wong
• Date Published: 1995
• Length: 15 pages
• Sale Source: Office of National Drug Control Policy
• Publication Type: Program/Project Description
• Language: English
• Country: United States of America
• Note: DCC.

Annotation

The FinCEN Artificial Intelligence System (FAIS) links and evaluates reports of large cash transactions to identify potential money laundering.

Abstract

The objective of FAIS is to discover previously unknown, potential high-value leads for possible investigation. FAIS integrates intelligent human and software agents in a cooperative discovery task on a large data space. It is a complex system that incorporates several aspects of artificial intelligence technology, including rule-based reasoning and a blackboard. FAIS consists of an underlying database that functions as a blackboard, a graphical user interface, and several preprocessing and analysis modules. FAIS has been in operation at FinCEN since March 1993 by a dedicated group of analysts, processing approximately 200,000 transactions per week; during this time, more than 400 investigative support reports corresponding to over $1 billion in potential laundered funds have been developed. FAIS's unique analytical power arises primarily from a transformation of a view of the underlying data from a transaction-oriented perspective to a subject-oriented (person or organization) perspective. 10 figures, 1 table, and 9 references