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
Leveraging AI for Global Development: Opportunities and Policy Implications
Harvard Center for International Development
27 minutes 30 seconds
7 months ago
Leveraging AI for Global Development: Opportunities and Policy Implications
AI is reshaping global development—but how can it be harnessed to address challenges in governance, decentralization, and inclusion? In this episode, we dive into the transformative potential of AI with Pritham Raja and Chinasa T. Okolo, who explore the intersection of AI, policy, and global equity. From using AI to bridge gaps in local governance to the power of smaller, more accessible language models, they discuss the innovations shaping the field. Whether you're an AI enthusiast, a development practitioner, or just curious about the future of tech in low-income countries, this conversation offers valuable insights into the evolving landscape of AI for public good. Tune in for a thought-provoking discussion on the opportunities—and responsibilities—of AI in shaping a more inclusive world.
Guests: Pritam Raja - JPAL | Chinasa T. Okolo - Brookings Institute
Student Host: Lili Vessereau
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
