Fitting Behavioural Artificial Intelligence Technology in the banking sector

A market research study

Master Thesis (2023)
Author(s)

G. de Ronde (TU Delft - Technology, Policy and Management)

Contributor(s)

EJE Molin – Mentor (TU Delft - Transport and Logistics)

R. van Bergem – Mentor (TU Delft - Economics of Technology and Innovation)

N. Heyning – Mentor

Faculty
Technology, Policy and Management
Copyright
© 2023 Guus de Ronde
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Guus de Ronde
Graduation Date
27-03-2023
Awarding Institution
Delft University of Technology
Programme
Complex Systems Engineering and Management (CoSEM)
Faculty
Technology, Policy and Management
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Abstract

The banking sector is currently dealing with Anti-Money Laundering (AML) issues, with stricter legislation in Know Your Customer (AML) being the instigator. De Nederlandsche Bank is pursuing fully explainable and transparent models with a risk-based approach. Councyl provides such a model: Behavioural Artificial Intelligence Technology (BAIT). This study aims to analyse the current environment BAIT would be implemented, to see if the tool fits the requirements of the banking sector. The inherent features of BAIT, adding to the four functions make it an interesting tool for banks to consider.

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