Fairness Assessment for Artificial Intelligence in Financial Industry
This addresses fairness issues in financial AI applications, but it appears incremental as it reviews and applies existing methods without introducing new ones.
The paper tackles fairness evaluation in AI for finance by reviewing statistical methods for bias mitigation and applying them to a credit card default payment example, but does not report specific numerical results.
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.