A comprehensive review on financial explainable AI
Nanyang Technological University · Institute of High Performance Computing · +1 more institution
Abstract
The success of artificial intelligence (AI), and deep learning models in particular, has led to their widespread adoption across various industries due to their ability to process huge amounts of data and learn complex patterns. However, due to their lack of explainability, there are significant concerns regarding their use in critical sectors, such as finance and healthcare, where decision-making transparency is of paramount importance. In this paper, we provide a comparative survey of methods that aim to improve the explainability of deep learning models within the context of finance. We categorize the collection of explainable AI methods according to their corresponding characteristics, and we review the…
Citation impact
- FWCI
- 112.02
- Percentile
- 100%
- References
- 109
Authors
6Topics & keywords
- Computer science
- Finance
- Artificial intelligence
- Business