2022 | Banks, Savings & Loans | Excellent | SDG1 | SDG10 | SDG17 | SDG5 | Singapore
How Data Science and AI can reduce gender bias and concurrently increase profitability

Company or Institution

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


Banks, Savings & Loans





Sustainable Development Goals (SDGs)

SDG 1: No Poverty

SDG 5: Gender Equality

SDG 10: Reduced Inequality

SDG 17: Partnerships to achieve the Goal

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



(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).




Public Exposure

Mentorship Program

HPC resources and/or Cloud Computing Services


International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana



The designations employed and the presentation of material throughout this website do not imply the expression of any opinion whatsoever on the part of UNESCO concerning the legal status of any country, territory, city or area of its authorities, or concerning the delimitation of its frontiers or boundaries.

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