Prospective Assessment of AI Technologies for Fraud Detection: A Case Study

David Jensen

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.


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