Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa
This mandated session was centered on the use of Artificial Intelligence (AI), Earth Observation (EO), and material innovation to enhance climate resilience in Africa. The primary focus was on African-led innovation, ethical use, and South-South cooperation for the achievement of scalable, context-a...
| Autores principales: | , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/177866 |
| _version_ | 1855521362147278848 |
|---|---|
| author | African Climate Policy Centre Accelerating Impacts of CGIAR Climate Research for Africa United Nations Office for Disaster Risk Reduction |
| author_browse | Accelerating Impacts of CGIAR Climate Research for Africa African Climate Policy Centre United Nations Office for Disaster Risk Reduction |
| author_facet | African Climate Policy Centre Accelerating Impacts of CGIAR Climate Research for Africa United Nations Office for Disaster Risk Reduction |
| author_sort | African Climate Policy Centre |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This mandated session was centered on the use of Artificial Intelligence (AI), Earth Observation (EO), and material innovation to enhance climate resilience in Africa. The primary focus was on African-led innovation, ethical use, and South-South cooperation for the achievement of scalable, context-appropriate solutions in agriculture, energy, and disaster/climate risk management.
The main takeaways are:
• Materials innovation, EO, and AI offer game-changing possibilities for precision farming, renewable energy optimization, disaster risk reduction, and resilient infrastructure.
• Africa should transition from passive technology recipient to co-creator, but success depends on human capital, inclusive governance, ethical standards, financing, and continental collaboration.
• Youth engagement, citizen-centric approaches, and locally grounded co-creation are critical for equitable deployment.
• South-South and intra-African cooperation provide replicable models for scaling, knowledge sharing, and avoiding duplication.
The session also generated actionable proposals on finance, governance, ethical use of AI, and energy transition, with concrete next steps to deploy AI and EO solutions at the continental level. |
| format | Informe técnico |
| id | CGSpace177866 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1778662025-11-14T02:05:05Z Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa African Climate Policy Centre Accelerating Impacts of CGIAR Climate Research for Africa United Nations Office for Disaster Risk Reduction agriculture energy risk management This mandated session was centered on the use of Artificial Intelligence (AI), Earth Observation (EO), and material innovation to enhance climate resilience in Africa. The primary focus was on African-led innovation, ethical use, and South-South cooperation for the achievement of scalable, context-appropriate solutions in agriculture, energy, and disaster/climate risk management. The main takeaways are: • Materials innovation, EO, and AI offer game-changing possibilities for precision farming, renewable energy optimization, disaster risk reduction, and resilient infrastructure. • Africa should transition from passive technology recipient to co-creator, but success depends on human capital, inclusive governance, ethical standards, financing, and continental collaboration. • Youth engagement, citizen-centric approaches, and locally grounded co-creation are critical for equitable deployment. • South-South and intra-African cooperation provide replicable models for scaling, knowledge sharing, and avoiding duplication. The session also generated actionable proposals on finance, governance, ethical use of AI, and energy transition, with concrete next steps to deploy AI and EO solutions at the continental level. 2025-09 2025-11-13T11:39:54Z 2025-11-13T11:39:54Z Report https://hdl.handle.net/10568/177866 en Open Access application/pdf ACPC, AICCRA, UNDRR. 2025. Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa. Mandated Session Report at the 2nd Africa Climate Summit. AICCRA Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) |
| spellingShingle | agriculture energy risk management African Climate Policy Centre Accelerating Impacts of CGIAR Climate Research for Africa United Nations Office for Disaster Risk Reduction Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa |
| title | Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa |
| title_full | Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa |
| title_fullStr | Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa |
| title_full_unstemmed | Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa |
| title_short | Collaborative Solutions: Leveraging Artificial Intelligence for Resilient Agriculture, Energy, and Risk Systems in Africa |
| title_sort | collaborative solutions leveraging artificial intelligence for resilient agriculture energy and risk systems in africa |
| topic | agriculture energy risk management |
| url | https://hdl.handle.net/10568/177866 |
| work_keys_str_mv | AT africanclimatepolicycentre collaborativesolutionsleveragingartificialintelligenceforresilientagricultureenergyandrisksystemsinafrica AT acceleratingimpactsofcgiarclimateresearchforafrica collaborativesolutionsleveragingartificialintelligenceforresilientagricultureenergyandrisksystemsinafrica AT unitednationsofficefordisasterriskreduction collaborativesolutionsleveragingartificialintelligenceforresilientagricultureenergyandrisksystemsinafrica |