Fitting Behavioural Artificial Intelligence Technology in the banking sector

A market research study

Master thesis (2023)

Authors

G. de Ronde Technology, Policy and Management

Contributors

E.J.E. Molin Transport and Logistics - (mentor)

R. van Bergem Economics of Technology and Innovation - (mentor)

N. Heyning (mentor)

Faculty

Technology, Policy and Management, Technology, Policy and Management

Banking Institutional Analysis Behavioral Artificial Intelligence Technology Anti-Money Laundering Decision support system

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http://resolver.tudelft.nl/uuid:29035458-72c0-4a9c-849a-3f4f40aec4ef

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Published Date

27-03-2023

Language

English

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Faculty

Technology, Policy and Management

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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