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Harvard Center for International Development
Harvard Center for International Development
185 episodes
6 months ago
In the final episode of Road to GEM, Harvard Kennedy School MPP candidate Slavina Ancheva speaks with Dr. Flavio du Pin Calmon, Associate Professor at Harvard SEAS, about the intersection of artificial intelligence, equity, and global development. Together, they explore how AI technologies can both bridge and deepen digital divides — especially in low-resource and underserved regions. Dr. Calmon shares insights from his research on fairness, privacy, and reliability in machine learning systems. The conversation highlights critical challenges in ensuring that AI tools are not only effective but also ethical and inclusive. They discuss bias mitigation, the importance of diverse data representation, and the ways in which technical design must align with social and policy objectives. For listeners working at the crossroads of tech, policy, and justice, this episode offers a nuanced look at how to build AI systems that reflect and respect global realities. Guest: Dr. Flavio du Pin Calmon, Associate Professor of Electrical Engineering, Harvard John A. Paulson School of Engineering and Applied Sciences Host: Slavina Ancheva, Master in Public Policy Candidate, Harvard Kennedy School
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All content for Harvard Center for International Development is the property of Harvard Center for International Development and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In the final episode of Road to GEM, Harvard Kennedy School MPP candidate Slavina Ancheva speaks with Dr. Flavio du Pin Calmon, Associate Professor at Harvard SEAS, about the intersection of artificial intelligence, equity, and global development. Together, they explore how AI technologies can both bridge and deepen digital divides — especially in low-resource and underserved regions. Dr. Calmon shares insights from his research on fairness, privacy, and reliability in machine learning systems. The conversation highlights critical challenges in ensuring that AI tools are not only effective but also ethical and inclusive. They discuss bias mitigation, the importance of diverse data representation, and the ways in which technical design must align with social and policy objectives. For listeners working at the crossroads of tech, policy, and justice, this episode offers a nuanced look at how to build AI systems that reflect and respect global realities. Guest: Dr. Flavio du Pin Calmon, Associate Professor of Electrical Engineering, Harvard John A. Paulson School of Engineering and Applied Sciences Host: Slavina Ancheva, Master in Public Policy Candidate, Harvard Kennedy School
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Education Policy and Practice in the Global South: Insights from Pakistan
Harvard Center for International Development
39 minutes 53 seconds
1 year ago
Education Policy and Practice in the Global South: Insights from Pakistan
In this episode of our Road to GEM24 podcast series, Javed Malik, Program Director of the Malala Fund in Pakistan, dives into the realms of education, governance, and development. Tune in to listen to discussions on the role of evidence-based policymaking, challenges in education delivery, and the imperative of gender-focused interventions. Hosted by Usama Mohammed, a student at Harvard's Graduate School of Education
Harvard Center for International Development
In the final episode of Road to GEM, Harvard Kennedy School MPP candidate Slavina Ancheva speaks with Dr. Flavio du Pin Calmon, Associate Professor at Harvard SEAS, about the intersection of artificial intelligence, equity, and global development. Together, they explore how AI technologies can both bridge and deepen digital divides — especially in low-resource and underserved regions. Dr. Calmon shares insights from his research on fairness, privacy, and reliability in machine learning systems. The conversation highlights critical challenges in ensuring that AI tools are not only effective but also ethical and inclusive. They discuss bias mitigation, the importance of diverse data representation, and the ways in which technical design must align with social and policy objectives. For listeners working at the crossroads of tech, policy, and justice, this episode offers a nuanced look at how to build AI systems that reflect and respect global realities. Guest: Dr. Flavio du Pin Calmon, Associate Professor of Electrical Engineering, Harvard John A. Paulson School of Engineering and Applied Sciences Host: Slavina Ancheva, Master in Public Policy Candidate, Harvard Kennedy School