Artificial Intelligence and the GEF: STAP’s Early Thoughts - A STAP Information Note
| dc.contributor.approvalOther | Director, Office of Science | |
| dc.contributor.author | Global Environment Facility | |
| dc.contributor.organization | Office of Science | |
| dc.contributor.other | Chirinda, Ngonidzashe | |
| dc.contributor.other | Bierbaum, Rosina | |
| dc.contributor.other | Leonard, Sunday | |
| dc.contributor.other | Mbandi, Aderiana | |
| dc.date.accessioned | 2026-02-05T11:06:52Z | |
| dc.date.issued | 2025-12 | |
| dc.date.submitted | 2026-02-05 | |
| dc.description | Artificial Intelligence (AI) is transforming how we address global environmental challenges. This Scientific and Technical Advisory Panel (STAP) Information Note explores AI’s potential to accelerate the delivery of Global Environmental Benefits across all the Global Environment Facility (GEF) focal areas: biodiversity, climate change, land degradation, international waters, and chemicals and waste, while highlighting critical environmental, social, and governance risks. It explores opportunities for leveraging AI in project design, monitoring, evaluation, and knowledge management, and presents examples of AI use across the GEF partnership and networks. | en |
| dc.description.reviewStatus | internal review only | |
| dc.description.status | Adopted | |
| dc.format | ||
| dc.identifier.doi | https://doi.org/10.59117/20.500.11822/49231 | |
| dc.identifier.isbn | 978-92-807-4265-7 | |
| dc.identifier.other | OoS/2747/WA | |
| dc.identifier.uri | https://wedocs.unep.org/handle/20.500.11822/49231 | |
| dc.language | English | |
| dc.page.number | 43 p. | |
| dc.publisher | United Nations Environment Programme | |
| dc.relation.TableOfContents | Executive Summary | |
| dc.relation.TableOfContents | Acronyms | |
| dc.relation.TableOfContents | 1. Intorduction | |
| dc.relation.TableOfContents | 2. AI and Environmental Sustainability | |
| dc.relation.TableOfContents | 3. Harnessing AI for GEF Operations and Portfolio Management | |
| dc.relation.TableOfContents | 4. Social and Economic Considerations | |
| dc.relation.TableOfContents | 5. Implications for the GEF | |
| dc.relation.TableOfContents | 6. Conclusions | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 IGO | en |
| dc.rights.accessLevel | Public | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ | |
| dc.subject.sdg | SDG 3 - Good Health and Well-Being | |
| dc.subject.sdg | SDG 9 - Industry, Innovation and Infrastructure | |
| dc.subject.sdg | SDG 13 - Climate Action | |
| dc.subject.theme | information | |
| dc.subject.theme | information technology | |
| dc.subject.theme | biology | |
| dc.subject.theme | biodiversity | |
| dc.subject.theme | climate | |
| dc.subject.theme | climate change | |
| dc.subject.theme | natural areas, landscapes and ecosystems | |
| dc.subject.theme | land degradation | |
| dc.subject.theme | air | |
| dc.subject.theme | water | |
| dc.subject.theme | chemistry | |
| dc.subject.theme | chemical waste | |
| dc.title | Artificial Intelligence and the GEF: STAP’s Early Thoughts - A STAP Information Note | en |
| dc.type | Issues note |
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