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Our data reflects the decisions we make—so what happens when it excludes the realities of diverse populations? In this episode of #STEMPowered, we’re joined by Rukmini S., founder of Data for India and author of Whole Numbers and Half Truths. Together with Deepashree Mahajan, they explore the critical need for representative data to build ethical, inclusive AI models. From the challenges of gathering gender-specific data in India to the role women play in advancing data inclusivity, this conversation uncovers the intersection of gender, data, and technology. 🔗 Check out the latest episode of STEMPowered, streaming now! Spotify: This podcast is made possible by the generous support of the American people through the United States Agency for International Development (USAID). Over the last seven decades, USAID has partnered with India to advance shared global development priorities. Together, they’ve been testing and piloting models and high-impact solutions to address India’s most challenging health and development issues—solutions that can be scaled and replicated, not just in developing nations, but all around the world. USAID is making sure these cutting-edge solutions are inclusive of everyone, respecting all diverse identities and experiences. Disclaimer: The contents are the responsibility of Wadhwani AI and do not necessarily reflect the views of USAID or the United States Government.