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41084.1 IP-SBM
41084.1 IP-SBM
Zusammenfassung
Towards Explainable Artificial Intelligence and Machine Learning in Credit Risk Management
Weitere Texte
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.
Beteiligte
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
Projektdetails
- Forschungsstelle
- INNOSUISSE
- Projektstatus
- Abgeschlossen
- Projekttyp
- Forschungsprojekt
- Startdatum
- 2020-09-13
- Enddatum
- 2022-09-13
- Bewilligte Gesamtkosten
- CHF 282969.00
- Sektion
- 90 Social Sciences & Business Management
- NABS Politikbereich
- Industrielle Produktivität und Technologie
Forschungsdisziplinen
- S181 Financial science 100.0%