Fraud Detection: Using Artificial Intelligence to Identify Suspicious Persons Over the Phone

Kneedler, Alec Tallmadge; Aksman, Daniel Vladimir; Fitzgibbon, Zackary R.

Student Work

Fraud Detection: Using Artificial Intelligence to Identify Suspicious Persons Over the Phone Public

Banks in Russia have experienced a rise in client complaints regarding fraudulent monetary transfers made under the influence of social engineering. In collaboration with students at the Financial University in Moscow, the team used artificial intelligence to identify a speaker’s emotional state using acoustic markers. Three models were developed and tested with eleven datasets to enhance accurate identification. Based on the results, the authors provide recommendations on the most salient vocal features and classification models to aid with fraud detection.

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