41084.1 IP-SBM

Résumé

Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management

Textes supplémentaires

Abstract

Machine Learning (ML) allows creditors to reduce lending risk by evaluating an abundance of customer data. However, these models lack the transparency required by regulators. We propose a visual analytics tool for understanding the inner-workings of ML models as they apply to credit scoring.

Participants

Jan-Alexander Posth

Kontaktperson

jan-alexander.posth@zhaw.ch

ZHAW School of Management and Law Institut für Wealth & Asset Managem Jan-Alexander Posth Technoparkstrasse 2 8401 Winterthur ZH CH

Détails du projet

Office de recherche: INNOSUISSE
Statut du projet: Abgeschlossen
Type de projet: Forschungsprojekt
Date de début: 2020-09-13
Date de fin: 2022-09-13
Coûts totaux approuvés: CHF 282969.00
Section: 90 Social Sciences & Business Management
Domaine politique NABS: Industrielle Produktivität und Technologie

Disciplines de recherche

S181 Financial science 100.0%