Project Notice
|
| PNR |
66327 |
| Project Name |
Evaluating AI interventions to reduce bias |
| Project Detail |
This technical cooperation aims to evaluate the effectiveness of two highly innovative and scalable AI interventions aimed at reducing discrimination in credit scoring and hiring decisions by removing information considered to be irrelevant to the decision at hand. Quipu is a Fintech platform in Colombia that uses AI to calculate a credit score for microentrepreneurs who are excluded from formal credit due to a lack of a credit history. Jobecam is an HR tech platform in Brazil that applies AI techniques to anonymize gender and other demographic information of job candidate CVs and interviews. AI technologies to remove bias are sweeping private industry and being adopted in the public sector as well. At the same time, few studies exist on the impact of these technologies across gender and race. The objective of the technical cooperation is to evaluate the impact of the AI algorithms in these two technologies on women and Afro descendants, and specifically measure the differential effects of these AI algorithms in the decisions about credit approval and hiring-related decisions. |
| Funded By |
Inter-American Development Bank (IADB) |
| Sector |
Advertising & Media |
| Country |
Various Countries , Southern Asia |
| Project Value |
AL 250,000
|
