In May 2019, the United States Agency for International Development (USAID)’s Global Development Lab with Duke University’s DevLab@Duke and NORC at the University of Chicago convened nearly 90 academic experts, digital practitioners, development partners, and USAID colleagues in Washington, D.C. to discuss the latest research on machine learning (ML) and its implications for international development. This convening brief provides a summary of the convening’s key discussion points and offers four forward-looking recommendations for advancing the effective, ethical, and inclusive application of machine learning in international development programming.
Please note that USAID’s Research Technical Assistance Center (RTAC) has concluded. The RTAC website will be decommissioned at the end of 2025. Some materials will be transferred to the NORC website and the USAID Learning Lab website in the coming months. However, we recommend downloading any materials you would like to preserve at this time.
