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User-Centric Explainable AI for Fraud Detection in Digital Retail

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Research Area(s):
Project Description:
While Artificial Intelligence (AI) models have the potential to support their users in decision-making, such as in reviewing fraud cases, those human agents lack trust in AI partners providing predictions for critical decisions. This project aims to develop a process model enabling the integration of Explainable AI methods and user requirements for a trustworthy relationship, enhancing the protection of customers from fraudulent cases in Digital Retail.

Researchers: Douglas Cirqueira, Markus Helfert (MU, IVI), Marija Bezbradica (DCU)

Funding:EU H2020, Lero, SFI

Collaboration / Partners: Raiffeisenlandesbank Oberösterreich

Timeframe: 2019-2021

About the Researchers: