Artificial intelligence and algorithmic decisions in fraud detection: An interpretive structural model

The use of artificial intelligence and algorithmic decision-making in public policy processes is influenced by a range of diverse drivers. This article provides a comprehensive view of 13 drivers and their interrelationships, identified through empirical findings from the taxation and social securit...

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Bibliographic Details
Main Authors: Evrim Tan, Maxime Petit Jean, Anthony Simonofski, Thomas Tombal, Bjorn Kleizen, Mathias Sabbe, Lucas Bechoux, Pauline Willem
Format: Article
Language:English
Published: Cambridge University Press 2023-01-01
Series:Data & Policy
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2632324923000226/type/journal_article