2 papers
cs.CY2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity
Savina Kim, Stefan Lessmann, Galina Andreeva +1
The increasing usage of new data sources and machine learning (ML) technology in credit modeling raises concerns with regards to potentially unfair decision-making that rely on pro…
cs.LG2023
The Double-Edged Sword of Big Data and Information Technology for the Disadvantaged: A Cautionary Tale from Open Banking
Savina Dine Kim, Galina Andreeva, Michael Rovatsos
This research article analyses and demonstrates the hidden implications for fairness of seemingly neutral data coupled with powerful technology, such as machine learning (ML), usin…