Collection of Scientific Papers "Scientific Notes"
ВИКОРИСТАННЯ ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ ВИРІШЕННЯ ПРОБЛЕМ МІЖНАРОДНОЇ ЕКОЛОГІЧНОЇ БЕЗПЕКИ
10.33111/vz_kneu.42.26.01.33.229.235
JEL: F18 F53 L52 Q54 Q58
# 42(1) / 2026
1. Organisation for Economic Co-operation and Development. (2023). AI for climate action: Policy report (112 p.). OECD Publishing.
2. United Nations Environment Programme. (2022). Digital environmental governance: Global initiative report (84 p.). UNEP.
3. UNESCO. (2023). AI for the planet: Technological solutions for environmental sustainability (76 p.). UNESCO Publishing.
4. International Telecommunication Union. (2021). AI for Good: Environmental applications (68 p.). ITU Publications.
5. European Commission. (2022). Destination Earth (DestinE): Building the digital twin of the Earth (54 p.). Publications Office of the European Union.
6. European Commission. (2020). European Green Deal: Policy framework for digital and environmental transformation (102 p.). EU Publications.
7. Horizon Europe Programme. (2021). Cluster 5: Climate, energy and mobility — Work programme 2021–2027 (156 p.). European Council8. IBM Research. (2020). Green Horizons: AI for air quality and energy forecasting (44 p.). IBM Corporation.
9. Google Earth Engine Team. (2021). Satellite-based monitoring of global forest changes (39 p.). Google Research.
10. DeepMind. (2022). AI applications for environmental sustainability (51 p.). DeepMind Technologies.
11. World Bank. (2022). AI for climate: Harnessing artificial intelligence for climate resilience (94 p.). World Bank Group.
12. World Resources Institute. (2023). Global Forest Watch: Annual review (88 p.). WRI.
13. United Nations Environment Programme. (2019). Global environment outlook 6 (GEO-6) (708 p.). UNEP.
14. Intergovernmental Panel on Climate Change. (2022). Climate change 2022: Impacts, adaptation and vulnerability (3056 p.). Cambridge University Press.
15. Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed., 1152 p.). Pearson.
16. Floridi, L. (2021). Ethics of artificial intelligence: A framework for the environmental domain (242 p.). Oxford University Press.
17. Singh, A., & Kumar, R. (2020). Machine learning for environmental monitoring (365 p.). Springer.
18. Dutta, P., & Chattopadhyay, S. (2022). AI for sustainable development: Technological innovations for environmental governance (294 p.). Springer.
19. United Nations Development Programme. (2022). Digital transformation for climate resilience (104 p.). UNDP.
20. McKinsey Global Institute. (2023). Artificial intelligence and the future of environmental protection (63 p.). McKinsey & Company

