A Framework for Trustworthy AI in Credit Risk Management: Perspectives and Practices
Publication Date
5-1-2023
Document Type
Article
Publication Title
Computer
Volume
56
Issue
5
DOI
10.1109/MC.2023.3236564
First Page
28
Last Page
40
Abstract
We present a reference architecture for trustworthy artificial intelligence based on three key tenets (usable, reliable, and transparent) and analyze its applicability in managing the challenges involved in the credit risk model from a practitioner's perspective. We propose a holistic approach covering relevant concerns in practical implementations.
Department
Information Systems and Technology
Recommended Citation
Sourav Mazumder, Subhankar Dhar, and Avinash Asthana. "A Framework for Trustworthy AI in Credit Risk Management: Perspectives and Practices" Computer (2023): 28-40. https://doi.org/10.1109/MC.2023.3236564
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