Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar
This presentation explores how artificial intelligence can advance gender-responsive climate information services in Kenya. Drawing on a five-year analysis of over 9,000 iShamba advisory queries from women farmers, the study identified referral, language, and regional biases that influence inclusivi...
| Autores principales: | , |
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| Formato: | Ponencia |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/177878 |
| _version_ | 1855540834887270400 |
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| author | Gitau, Kevin Grossi, Amanda |
| author_browse | Gitau, Kevin Grossi, Amanda |
| author_facet | Gitau, Kevin Grossi, Amanda |
| author_sort | Gitau, Kevin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This presentation explores how artificial intelligence can advance gender-responsive climate information services in Kenya. Drawing on a five-year analysis of over 9,000 iShamba advisory queries from women farmers, the study identified referral, language, and regional biases that influence inclusivity and service quality. These insights informed a field validation with 130 farmers—88 women and 42 men—across Kiambu, Meru, Kakamega, and Nakuru counties. Results demonstrate that refining AI advisories through human-centered design and reinforcement learning improved accuracy and contextual relevance from 62% to 83%. The findings underscore both the transformative potential and the risks of AI in delivering equitable digital climate services. |
| format | Ponencia |
| id | CGSpace177878 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1778782025-11-14T02:15:50Z Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar Gitau, Kevin Grossi, Amanda gender agriculture artificial intelligence advisory services design This presentation explores how artificial intelligence can advance gender-responsive climate information services in Kenya. Drawing on a five-year analysis of over 9,000 iShamba advisory queries from women farmers, the study identified referral, language, and regional biases that influence inclusivity and service quality. These insights informed a field validation with 130 farmers—88 women and 42 men—across Kiambu, Meru, Kakamega, and Nakuru counties. Results demonstrate that refining AI advisories through human-centered design and reinforcement learning improved accuracy and contextual relevance from 62% to 83%. The findings underscore both the transformative potential and the risks of AI in delivering equitable digital climate services. 2025-11-11 2025-11-13T14:51:34Z 2025-11-13T14:51:34Z Presentation https://hdl.handle.net/10568/177878 en Open Access application/pdf Gitau K, Grossi A, . 2025. Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar. AICCRA Presentation. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | gender agriculture artificial intelligence advisory services design Gitau, Kevin Grossi, Amanda Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar |
| title | Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar |
| title_full | Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar |
| title_fullStr | Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar |
| title_full_unstemmed | Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar |
| title_short | Leveraging AI for Inclusive Climate Services in Kenya (and Beyond): CGIAR GESI Accelerator Webinar |
| title_sort | leveraging ai for inclusive climate services in kenya and beyond cgiar gesi accelerator webinar |
| topic | gender agriculture artificial intelligence advisory services design |
| url | https://hdl.handle.net/10568/177878 |
| work_keys_str_mv | AT gitaukevin leveragingaiforinclusiveclimateservicesinkenyaandbeyondcgiargesiacceleratorwebinar AT grossiamanda leveragingaiforinclusiveclimateservicesinkenyaandbeyondcgiargesiacceleratorwebinar |