Projects - Evaluating Gender Bias in AI Applications Using Survey Data in Ghana

Evaluation of  the potential of gender bias in wealth estimates generated using artificial intelligence (AI), geospatial data, and USAID’s Demographic and Health Surveys (DHS) data.

In partnership with CDD-Ghana, AidData has worked to evaluate the potential of gender bias in wealth estimates generated using artificial intelligence (AI), geospatial data, and USAID’s Demographic and Health Surveys (DHS) data. The project leverages AidData’s expertise in artificial intelligence, geospatial data, household surveys, and CDD-Ghana’s knowledge of the local context and environments to produce a novel public good that will elevate equitability discussions surrounding the growing use of AI in development. Funded through USAID’s Equitable AI Challenge (and implemented through DAI’s Digital Frontiers agreement with USAID) this project approaches a critical problem:  increase the accountability and transparency of AI systems used in global development contexts. The project builds upon AidData’s broader research initiative on gender equity in development, as well as ongoing AI applications.