Sonam Jindal

Sonam is currently a Lead of Partnership on AI’s AI, Labor, and the Economy team, where she spearheads crucial work on responsible data supply chains. She focuses on understanding and improving conditions of human labor behind AI development which is often done under precarious conditions. Sonam’s contributions to the field include publishing a white paper on improving conditions for data enrichment workers, developing guidelines for responsible data enrichment practices for AI practitioners, writing a well-cited case study on their implementation at a major AI developing company, and a number of resources that are meant to help companies better meet the guidelines. Passionate about building a more equitable economy around the development of AI, her current work focuses on how to develop a broader ecosystem that appropriately values the contributions of workers who enable AI advances. Sonam studied Economics at The University of Chicago.