Caitlin Corner-Dolloff is the Senior Policy Advisor for Climate and Agriculture in the Center for Agriculture-Led Growth in USAID’s Bureau for Resilience and Food Security. She has championed climate resilient development programs in over 25 countries from posts in Asia, Africa, Latin America, and the US, through previous positions in the US Department of Agriculture’s Foreign Agricultural Service and the International Center for Tropical Agriculture (CIAT). Her career has been dedicated to advancing inclusive, evidence-based approaches to respond to complex climate and natural resource management challenges mainly in agriculture and food systems. She holds an MSc in Environmental Change and Management from the University of Oxford and a BA from the College Scholar Program at Cornell University.
Speaker: Rajesh Veeraraghavan (Georgetown University)
Responsible AI is a widely discussed topic these days, but what does it really entail? In this session, Rajesh Veeraraghavan, a recently tenured Associate Professor at Georgetown University’s School of Foreign Service and an affiliate of the Massive Data Institute, will explore this question. He will offer a comprehensive overview of responsible AI, focusing on the ethical challenges and design complexities of AI systems. Rajesh’s ICT4D research focuses on creating technology solutions that are not only advanced but also ethically responsive to the needs of global, often marginalized, populations.
Moderator: Jawoo Koo (IFPRI)
Panelists: David Spielman (IFPRI), Jona Repishti (Digital Green), Patricia Zambrano (IFPRI), Caitlin Corner-Dolloff (USAID)
AI holds exciting potential for addressing challenges faced by agriculture. However, regulatory frameworks are needed to ensure that AI does not inadvertently harm farmers and other agricultural stakeholders. While the concept of responsible AI is frequently emphasized, there is no universally accepted definition or clear implementation guidelines. Panelists in this session will explore what it means to develop and use AI solutions responsibly in agriculture, particularly for small-scale producers in the global South. They will also discuss how to balance fostering innovation with safeguarding stakeholders from potential risks.
Moderator: Charlotte Hebebrand (IFPRI) Panelists: Andres Ferreyra (Syngenta), Rui Benfica (IFPRI), Jeehye Kim (World Bank)
The potential of AI in agriculture is very promising, but will AI actually help farmers increase their income, and if so, how? This session will address unanswered questions about AI’s prospects for enhancing farm income, particularly in light of the declining profitability of agriculture globally in recent years. Can advanced technologies, especially AI-powered ones, reverse this trend? Panelists will share their experiences working with farmers and other agricultural stakeholders, highlighting the areas of farming where AI can potentially reduce costs and improve profitability over the next 5 to 10 years. Additionally, they will discuss the risks associated with technology failures, including the implications of AI liability and the necessary safeguards.
New Delhi, India
Texcoco, Mexico
Washington, D.C., United States
