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
Africa’s Emerging AI Tech Landscape: Success, Challenges, and Path Forward
Harvard Center for International Development
52 minutes 13 seconds
7 months ago
Africa’s Emerging AI Tech Landscape: Success, Challenges, and Path Forward
How is AI reshaping Africa's tech landscape? In this episode, Marcelle N. Momha explores this question with Dr. Barbara Glover (African Union Development Agency-NEPAD) and Dr. William Wasswa (Mbarara University of Science and Technology). They discuss the role of AI in tackling African challenges, highlighting projects like Microsoft's investments and AI-driven healthcare innovations. Discover how Africa is poised to transition from an AI consumer to a global tech leader. Whether you're interested in AI or Africa's future, this episode provides valuable insights into the continent's digital transformation journey. Join us for a deep dive into Africa’s AI potential.
Guests: Dr. Barbara Glover - African Union Development Agency-NEPAD | Dr. William Wasswa - Mbarara University of Science and Technology
Student Host: Marcelle N. Momha - Harvard Kennedy School
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
