Prospective Assessment of AI Technologies for Fraud Detection:
A Case Study
David Jensen, "Prospective Assessment of AI Technologies for Fraud
Detection: A Case Study." To appear in Working Papers of the AAAI-97
Workshop on Artificial Intelligence Approaches to Fraud Detection
and Risk Management. July 1997.
- Abstract
- In September 1995, the Congressional Office of Technology Assessment
completed a study of the potential for AI technologies to detect
money laundering by screening wire transfers. The study, conducted
at the request of the Senate Permanent Subcommittee on Investigations,
evaluates the technical and public policy implications of widespread
use of AI technologies by the Federal government for fraud detection.
Its conclusions are relevant to many other uses of AI technologies
for fraud detection in both the public and private sectors.
- Text
- A Postscript version of this paper is available (120K).
-
- Links
- AAAI.
Fineprint