How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture?
AI-powered chatbots are emerging as a promising tool to deliver agricultural advice. Such AI-based advisory services can reach large numbers of farmers more cost-effectively than traditional extension services. They can almost instantly provide advice across more remote areas, translate technical te...
| Main Authors: | , , |
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| Format: | Blog Post |
| Language: | Inglés |
| Published: |
International Food Policy Research Institute
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/178203 |
| _version_ | 1855540951118774272 |
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| author | Magalhaes, Marilia Singaraju, Niyati Koo, Jawoo |
| author_browse | Koo, Jawoo Magalhaes, Marilia Singaraju, Niyati |
| author_facet | Magalhaes, Marilia Singaraju, Niyati Koo, Jawoo |
| author_sort | Magalhaes, Marilia |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | AI-powered chatbots are emerging as a promising tool to deliver agricultural advice. Such AI-based advisory services can reach large numbers of farmers more cost-effectively than traditional extension services. They can almost instantly provide advice across more remote areas, translate technical terms into plain language, quickly adapt to local needs through feedback from users, and increase access to knowledge for marginalized groups. Yet this technology still faces many obstacles. For instance, users require access to reliable electricity and (mobile) internet, which are still unavailable in many of the world's rural farming areas. |
| format | Blog Post |
| id | CGSpace178203 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1782032025-11-25T20:18:07Z How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? Magalhaes, Marilia Singaraju, Niyati Koo, Jawoo digital technology artificial intelligence large language models gender gender equality women's empowerment AI-powered chatbots are emerging as a promising tool to deliver agricultural advice. Such AI-based advisory services can reach large numbers of farmers more cost-effectively than traditional extension services. They can almost instantly provide advice across more remote areas, translate technical terms into plain language, quickly adapt to local needs through feedback from users, and increase access to knowledge for marginalized groups. Yet this technology still faces many obstacles. For instance, users require access to reliable electricity and (mobile) internet, which are still unavailable in many of the world's rural farming areas. 2025-11-14 2025-11-25T19:51:16Z 2025-11-25T19:51:16Z Blog Post https://hdl.handle.net/10568/178203 en https://huggingface.co/blog/CGIAR/llm-gender-equality-womens-empowerment Open Access International Food Policy Research Institute Magalhaes, Marilia; Singaraju, Niyati; and Koo, Jawoo. 2025. How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? IFPRI Blog Post. https://www.ifpri.org/blog/how-accurately-do-the-large-language-models-llms-powering-chatbots-respond-to-questions-on-gender-equality-and-womens-empowerment-in-indian-agriculture/ |
| spellingShingle | digital technology artificial intelligence large language models gender gender equality women's empowerment Magalhaes, Marilia Singaraju, Niyati Koo, Jawoo How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? |
| title | How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? |
| title_full | How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? |
| title_fullStr | How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? |
| title_full_unstemmed | How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? |
| title_short | How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? |
| title_sort | how accurately do the large language models llms powering chatbots respond to questions on gender equality and women s empowerment in indian agriculture |
| topic | digital technology artificial intelligence large language models gender gender equality women's empowerment |
| url | https://hdl.handle.net/10568/178203 |
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