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Data Privacy for AI Fraud Detection Models

Authors:
Kadir Ider
Andreas Schmietendorf

Keywords: Fraud detection; GDPR; transparency; automated decision making; AI

Abstract:
Although the European General Data Protection Regulation (GDPR) is technology neutral, it indirectly imposes strict processing rules for personal information in Artificial Intelligence systems. As fraud detection becomes more sophisticated and complex, the challenge to manage the trade-off between privacy and accuracy of such systems arises concurrently. This paper identifies and presents key components for a GDPR compliant design and development of Machine Learning supported fraud detection solutions.

Pages: 102 to 107

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-3956

ISBN: 978-1-61208-760-3

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020