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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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
In this episode, we explore the care economy, delving into the crucial roles of care for children, elders, and others from an economic perspective. Who is truly investing in care, and who benefits from these investments? We’re joined by Nancy Folbre, Professor Emeritus of Economics at the University of Massachusetts Amherst, who analyzes care as an intergenerational exchange and a vital investment. Following her insights, we’ll hear from Ana Fernanda Hierro, Technical Secretary of Consejo Nuevo León, who discusses best practices at the local level in the state of Nuevo León, Mexico.
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
