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Towards the design of legally privacy-proof and ethically justified data-driven fraud risk assessment algorithms

Bruxvoort, Xadya van (2021) Towards the design of legally privacy-proof and ethically justified data-driven fraud risk assessment algorithms.

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Abstract:The Dutch municipality Amersfoort (Gemeente Amersfoort) is an example of a party interested in developing and applying a fraud-detection algorithm, but is also in need of concrete knowledge on how to approach this from a legal and ethical perspective. To simplify this challenge, frameworks need to be designed to provide proper guidelines on the legal and ethical considerations during the design and implementation phases of such a fraud detection algorithm. This study aimed to research, design and validate such frameworks. Validating the frameworks proved them to be robust tools for detecting focus points on legal and ethical aspects for fraud detection algorithms by municipalities. The ethical framework looks at the process from a broader point of view; from data to protocols. It was also stressed that ethics are important during the entire process from design phase to after end of life. Where previously concrete steps and information were missing, the frameworks offer clear guidelines for municipalities looking to explore fraud detection using an algorithm.
Item Type:Essay (Master)
Clients:
M&I/Partners, Zeist, Nederland
Gemeente Amersfoort, Amersfoort, Nederland
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 88 social and public administration
Programme:Business Information Technology MSc (60025)
Link to this item:http://purl.utwente.nl/essays/85984
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