Fair lending needs explainable models for responsible recommendation
By Jiahao Chen. 2018
29 citations recorded by the source corpus.
The financial services industry has unique explainability and fairness challenges arising from compliance and ethical considerations in credit decisioning. These challenges complicate the use of model machine learning and artificial intelligence methods in business decision processes.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Nathan Kallus
- Xiaojie Mao
- Geoffry Svacha
- Madeleine Udell
- Jiahao Chen
- Masatoshi Uehara
- Susan Athey
- Andrew Bennett
Citations in the corpus
- Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved (2018, background): “ns include employment and compensation [14, 20], university admissions [4], and sentence and bail setting [3, 7, 16]. Another example relevant to the financial services industry is credit decisioning [6], which is a classification problem where these ethical concerns are enshrined in concrete regula”