Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services?

Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that can create new content such as text, images, audio, video, or even computer code, based on the data it has been trained on. Generative AI is trained on huge amounts of data (like books, images, and conversations),...

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Detalles Bibliográficos
Autores principales: Asiimwe, Elizabeth, Davis, Kristin E.
Formato: Opinion Piece
Lenguaje:Inglés
Publicado: Uganda Forum for Agricultural Advisory Services 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/178185
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author Asiimwe, Elizabeth
Davis, Kristin E.
author_browse Asiimwe, Elizabeth
Davis, Kristin E.
author_facet Asiimwe, Elizabeth
Davis, Kristin E.
author_sort Asiimwe, Elizabeth
collection Repository of Agricultural Research Outputs (CGSpace)
description Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that can create new content such as text, images, audio, video, or even computer code, based on the data it has been trained on. Generative AI is trained on huge amounts of data (like books, images, and conversations), and it learns patterns. When prompted, it uses the learned patterns to generate something new that fits the request.
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institution CGIAR Consortium
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publishDate 2025
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publisherStr Uganda Forum for Agricultural Advisory Services
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spelling CGSpace1781852025-11-25T14:35:57Z Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services? Asiimwe, Elizabeth Davis, Kristin E. artificial intelligence agricultural extension advisory services digital technology Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that can create new content such as text, images, audio, video, or even computer code, based on the data it has been trained on. Generative AI is trained on huge amounts of data (like books, images, and conversations), and it learns patterns. When prompted, it uses the learned patterns to generate something new that fits the request. 2025-10-03 2025-11-25T14:35:56Z 2025-11-25T14:35:56Z Opinion Piece https://hdl.handle.net/10568/178185 en Open Access Uganda Forum for Agricultural Advisory Services Asiimwe, Elizabeth; and Davis, Kristin E. 2025. Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services? UFAAS Blog Post. https://ufaas-ugandacf.org/beyond-the-human-touch-can-generative-ai-transform-ugandas-agricultural-extension-and-advisory-services/
spellingShingle artificial intelligence
agricultural extension
advisory services
digital technology
Asiimwe, Elizabeth
Davis, Kristin E.
Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services?
title Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services?
title_full Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services?
title_fullStr Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services?
title_full_unstemmed Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services?
title_short Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services?
title_sort beyond the human touch can generative ai transform uganda s agricultural extension and advisory services
topic artificial intelligence
agricultural extension
advisory services
digital technology
url https://hdl.handle.net/10568/178185
work_keys_str_mv AT asiimweelizabeth beyondthehumantouchcangenerativeaitransformugandasagriculturalextensionandadvisoryservices
AT daviskristine beyondthehumantouchcangenerativeaitransformugandasagriculturalextensionandadvisoryservices