A Framework for Trustworthy AI in Credit Risk Management: Perspectives and Practices

被引：1

作者：

Mazumder, Sourav ^{[1
]}

Dhar, Subhankar ^{[2
]}

Asthana, Avinash ^{[3
]}

机构：

[1] IBM Corp, Open Grp, Armonk, NY 10504 USA

[2] San Jose State Univ, Informat Syst & Technol, San Jose, CA 95192 USA

[3] IBM Corp, Financial Serv, New York, NY 10003 USA

来源：

COMPUTER | 2023年 / 56卷 / 05期

关键词：

Analytical models; Computational modeling; Computer architecture; Risk management; Reliability; Artificial intelligence;

D O I：

10.1109/MC.2023.3236564

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：28 / 40

页数：13

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