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With research staff from more than 70 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

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Danielle Resnick

Danielle Resnick is a Senior Research Fellow in the Markets, Trade, and Institutions Unit and a Non-Resident Fellow in the Global Economy and Development Program at the Brookings Institution. Her research focuses on the political economy of agricultural policy and food systems, governance, and democratization, drawing on extensive fieldwork and policy engagement across Africa and South Asia.

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Two Sides of the Data Governance Coin: AI Innovation and Regulation for Producers and Users 

Co-organized by IFPRI and CGIAR Program/accelerator Digital Transformation
Webinar Series – AI for Food Systems Research

March 5, 2026

  • 9:30 – 10:30 am (America/New_York)
  • 3:30 – 4:30 pm (Europe/Amsterdam)
  • 8:00 – 9:00 pm (Asia/Kolkata)

Responsible AI and data governance are often framed as constraints on innovation—but what if they are essential to it? This webinar explores why ethical, well-regulated systems are not at odds with innovation, but rather foundational to its legitimacy, sustainability, and impact. 

Bringing together perspectives from both technology producers and users, this session examines how policy, design, and governance can align to support more trustworthy, equitable, and effective AI systems in agriculture and development. 

Ameen Jauhar will focus on how robust data corpus for AI training and finetuning, requires a more nuanced approach. At present, bigger AI developers risk lawsuits and reputational damage by extracting as much data as possible whether by scraping the internet, or through piracy of published works, to name some methods. Smaller developers neither have the means to be this extractive, nor can suffer the punitive losses they may accrue, should someone take them to court. Licensing, consequently, has become a crucial instrument to lawfully gain access to high quality, contextually relevant data, which in turn allows the innovation of robust AI models in a sustainable way. Ameen will be focusing on this and how CABI is tackling licensing both from publishing and data governance lenses.

Katarzyna Kosior will complement this with a grounded perspective from the user side. Drawing on her research and community engagement, she will explore how farmers and rural actors experience digital technologies, and how data governance and AI ethics affect their agency, trust, and capacity to participate meaningfully in innovation processes. 

Together, the speakers will argue that regulation and innovation are not opposites—they are mutually reinforcing. Ethical AI depends on designing systems that are not only technically sound but also socially accountable and inclusive, across all levels of the food system. 

Speakers

  • Ameen Jauhar, Data Governance Lead, CABI 
  • Katarzyna Kosior, Assistant Professor, Institute of Agricultural and Food Economics – National Research Institute (IAFE-NRI), Warsaw

Discussant  

Moderator

  • Eliot Jones-Garcia, Senior Research Analyst, IFPRI; PhD Candidate, Wageningen University

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