Print Email Facebook Twitter Fitting Behavioural Artificial Intelligence Technology in the banking sector Title Fitting Behavioural Artificial Intelligence Technology in the banking sector: A market research study Author de Ronde, Guus (TU Delft Technology, Policy and Management) Contributor Molin, E.J.E. (mentor) van Bergem, R. (mentor) Heyning, N. (mentor) Degree granting institution Delft University of Technology Programme Complex Systems Engineering and Management (CoSEM) Date 2023-03-27 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. Subject Behavioral Artificial Intelligence TechnologyBankingAnti-Money LaunderingInstitutional AnalysisDecision support system To reference this document use: http://resolver.tudelft.nl/uuid:29035458-72c0-4a9c-849a-3f4f40aec4ef Part of collection Student theses Document type master thesis Rights © 2023 Guus de Ronde Files PDF Thesis_Guus_de_Ronde_4481445.pdf 2.03 MB Close viewer /islandora/object/uuid:29035458-72c0-4a9c-849a-3f4f40aec4ef/datastream/OBJ/view