Fairness Assessment for Artificial Intelligence in Financial Industry
Abstract
Artificial Intelligence (AI) is an important driving force for the development and transformation of the financial industry. However, with the fast-evolving AI technology and application, unintentional bias, insufficient model validation, immature contingency plan and other underestimated threats may expose the company to operational and reputational risks. In this paper, we focus on fairness evaluation, one of the key components of AI Governance, through a quantitative lens. Statistical methods are reviewed for imbalanced data treatment and bias mitigation. These methods and fairness evaluation metrics are then applied to a credit card default payment example.
Cite
@article{arxiv.1912.07211,
title = {Fairness Assessment for Artificial Intelligence in Financial Industry},
author = {Yukun Zhang and Longsheng Zhou},
journal= {arXiv preprint arXiv:1912.07211},
year = {2019}
}
Comments
Robust AI in FS 2019 : NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy