Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hidden Technical Debts for Fair Machine Learning in Financial Services   The recent advancements in machine learning (ML) have demonstrated the
potential for providing a powerful solution to build complex prediction systems
in a short time. However, in highly regulated industries, such as the financial
technology (Fintech), people have raised concerns about the risk of ML systems
discriminating against specific protected groups or individuals. To address
these concerns, researchers have introduced various mathematical fairness
metrics and bias mitigation algorithms. This paper discusses hidden technical
debts and challenges of building fair ML systems in a production environment
for Fintech. We explore various stages that require attention for fairness in
the ML system development and deployment life cycle. To identify hidden
technical debts that exist in building fair ML system for Fintech, we focus on
key pipeline stages including data preparation, model development, system
monitoring and integration in production. Our analysis shows that enforcing
fairness for production-ready ML systems in Fintech requires specific
engineering commitments at different stages of ML system life cycle. We also
propose several initial starting points to mitigate these technical debts for
deploying fair ML systems in production.

8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph