Grounding AI in practice: What extension gets wrong, what extension gets right, and what AI can learn
Citation
Davis, Kristin; Jones-Garcia, Eliot; and Singaraju, Niyati. 2025. Grounding AI in practice: What extension gets wrong, what extension gets right, and what AI can learn. IFPRI Blog Post. https://www.ifpri.org/blog/grounding-ai-in-practice-what-extension-gets-wrong-what-extension-gets-right-and-what-ai-can-learn/
Abstract/Description
Generative artificial intelligence (gen AI) applications - which produce text, images, code, and other content based on surfacing patterns in vast datasets - promise many benefits for agrifood systems (e.g., reaching more people at less cost, availability around the clock, real-time data).
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Author ORCID identifiers
Kristin Davis https://orcid.org/0000-0001-9604-921X
Eliot Jones-Garcia https://orcid.org/0000-0003-0483-2368
Eliot Jones-Garcia https://orcid.org/0000-0003-0483-2368
Organizations Affiliated to the Authors
CGIAR Impact Areas
CGIAR Programs and Accelerators
Type
Review Status
Internal Review
Language
en
AGROVOC Keywords
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Access Rights
Open Access
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