Jeehye Kim is an Agricultural Economist at the World Bank where she leads and carries out World Bank missions to client countries in the Africa region. Her work includes advising WB’s client to use digitally-enabled approaches to increase their agricultural projects’ success in sustainable and scalable ways. Applications include mobile-enabled agriculture extension services, mobile money, e-vouchers for agricultural inputs, market price and weather information systems, as well as applications to help smallholder farmers’ access to markets and services. She also builds relationships with industry leaders, executives, development partners, and stakeholders to advance disruptive and digital agricultural technology initiatives, in support of World Bank projects in client countries. Prior to joining the World Bank in 2011, Jeehye worked in both the public and the private sector in Korea and the U.K., respectively. In the private sector, she built expertise in consulting for the high-tech and telecom sectors, as well as electronic commerce and e-government. Kim holds a master’s degree in Economics from the University of Glasgow.
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
