Company or Institution

Aboitiz Data Innovation (ADI), Union Bank of the Philippines (UnionBank), Smith School of Business at Queen’s University, and INSEAD

Industry

Banks, Savings & Loans

Website

https://pubsonline.informs.org/doi/abs/10.1287/msom.2022.1108

Country

Singapore

Sustainable Development Goals (SDGs)

General description of the AI solution

This project’s outcome serves as a guide in improving—and for some regimes confirming—anti-discrimination laws, specifically with respect to the collection and use of protected attributes like gender data to ensure that Machine Learning models reduce discrimination, are of better predictive quality, and increase firm profitability.

Github, open data repository, prototype or working demo

https://github.com/stephaniekelley/genderbias

Publications

(August, 2022) Enabling AI-Powered Banking Services & Closing the Loop with The Customers. Presented at the 10th World Financial Innovation Series, Philippines.

(May, 2022) Forum on AI Ethics & Governance White Paper

Stephanie Kelley, Anton Ovchinnikov, David R. Hardoon, Adrienne Heinrich (2022) Antidiscrimination Laws, Artificial Intelligence, and Gender Bias: A Case Study in Nonmortgage Fintech Lending. Manufacturing & Service Operations Management. https://pubsonline.informs.org/doi/epdf/10.1287/msom.2022.1108

(November, 2021) Anti-Discrimination Law, AI, and Gender Bias: A Case Study in Non-Mortgage Fintech Lending. Presented at the 2021 Decision Sciences Institute Annual Conference (Virtual).

(June, 2021) Anti-Discrimination Law, AI, and Gender Bias: A Case Study in Non-Mortgage Fintech Lending. Presented at the 2021 INFORMS MSOM Virtual Conference.

(November, 2020) Anti-Discrimination Law, AI, and Automated Gender Bias in Non-mortgage Fintech Lending. Presented at the INFORMS 2020 Annual Meeting (Virtual).

Needs