TITLE:
New Trend in Fintech: Research on Artificial Intelligence Model Interpretability in Financial Fields
AUTHORS:
Han Yan, Sheng Lin
KEYWORDS:
Fintech, Regtech, AI, Model Interpretability, LIMER
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.9 No.10,
October
24,
2019
ABSTRACT: With the development of Fintech, applying artificial intelligence (AI)
technologies to the financial field is a general trend. However, there are some
inappropriate conditions, for instance, the AI model is always treated as a black box and cannot be interpreted.
This paper studies the AI model interpretability when the models are applied in
the financial field. We analyze the reasons of black box problem and explore the effective solutions. We propose a
new kind of automatic Regtech tool—LIMER,
and put forward policy suggestions, thereby continuously promoting the
development of Fintech to a higher level.