DeepAI AI Chat
Log In Sign Up

Fairness Assessment for Artificial Intelligence in Financial Industry

12/16/2019
by   Yukun Zhang, et al.
ATB Financial
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

05/20/2021

Federated Artificial Intelligence for Unified Credit Assessment

With the rapid adoption of Internet technologies, digital footprints hav...
11/08/2019

An Introduction to Artificial Intelligence and Solutions to the Problems of Algorithmic Discrimination

There is substantial evidence that Artificial Intelligence (AI) and Mach...
11/20/2017

Modeling Epistemological Principles for Bias Mitigation in AI Systems: An Illustration in Hiring Decisions

Artificial Intelligence (AI) has been used extensively in automatic deci...
03/03/2022

Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models

Prioritizing fairness is of central importance in artificial intelligenc...
11/15/2018

Economics of Human-AI Ecosystem: Value Bias and Lost Utility in Multi-Dimensional Gaps

In recent years, artificial intelligence (AI) decision-making and autono...