RECORDING: Deploying AI in Global Health: Partnerships, Power, and Public Value
Explore key insights on how governments and funders can foster equitable, locally driven partnerships to responsibly scale AI innovation in global health.
Artificial Intelligence
Coffee Sessions
RECORDING: Measuring Impact: How Do We Know AI Is Improving Health Outcomes & Addressing Local Priorities?
Examine how health systems, governments, and donors can rigorously evaluate the real-world impact of AI tools in healthcare.
This event was hosted in partnership with the Harvard Medical School Center for Bioethics.
Featuring:
- Jude Kong, B.Ed., B.Sc., M.Sc., Ph.D., CRC, MRSC, Executive Director, Artificial Intelligence and Mathematical Modelling Lab (AIMM Lab), University of Toronto; Executive Director, Global South AI for Pandemic and Epidemic Preparedness and Response Network (AI4PEP)
- Chaitali Sinha, M.A., Senior Program Specialist at International Development Research Centre (IDRC)
- Moderator: Louise Ivers, MD, MPH, DTM&H, Director, Harvard Global Health Institute
About the AI in Global Health Coffee Sessions in the Series
This session is part of the Harvard Global Health Institute’s ongoing AI in Global Health Coffee Sessions in the series. These sessions explore the evolving role of artificial intelligence in global health from multiple perspectives, including evaluation, implementation, governance, equity, and policy. While each session focuses on a distinct topic, the conversations are designed to build on one another and reflect the interdisciplinary questions shaping the field. Together, they highlight both the opportunities and the broader considerations involved in applying AI in global health contexts.
To learn more about other sessions in our AI in Global Health series, visit our recording & resources pages.
Key Discussion Points
00:03:31 – Reframing AI Evaluation in Global Health: Myths, Assumptions, and Missed Priorities
00:08:22 – Building Ethical and Locally Relevant AI Evaluation Frameworks
00:15:14 – IDRC’s Long-Term Strategy for AI Research Capacity in the Global South
00:21:46 – From Community Priorities to Deployment: Practical Evaluation in AI for Pandemic Preparedness
00:27:57 – Understanding the Four-Level Framework for Evaluating AI in Health Systems
00:32:44 – Responsible AI vs. the Race for Speed: Addressing the Structural Accountability Gap
00:37:32 – Community-Led AI Governance and Evaluation in the Global South
00:42:00 – How Global Funders Are Evolving Their Approach to AI Evaluation and Collaboration
00:44:36 – How Researchers, Students, and Institutions Can Join Global AI Health Networks
00:49:24 – Transition to Discussion on Data Quality and AI Evaluation
Resources
- Artificial Intelligence for Global Health | IDRC
- Responsible AI in Global Health: Solutions from the Global South
- Global South AI for Pandemic & Epidemic Preparedness & Response Network
- The Africa-Canada Artificial Intelligence & Data Innovation Consortium
- Decolonizing global AI governance: assessment of the state of decolonized AI governance in Sub-Saharan Africa
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RECORDING: Frameworks for Advancing and Governing Ethical AI in Global Health
Our speakers share their perspectives on how “high-tech” tools can amplify women’s voices and “high-touch” training can center compassionate, patient-responsive care to address critical challenges across diverse maternal health systems.
Finding Problems Worth Solving: A Design Thinking Approach in Global Health
Across much of global health research, communities are frequently studied without being meaningfully involved. Instead, people are surveyed, measured, and written about from a distance. However, Satchit Balsari, Associate Professor in Emergency at Harvard Medical School and Harvard T.H. Chan School of Public Health, and a Faculty Steering Committee member at the Harvard Global Health Institute, has built a career challenging that default.