1、1Leveraging Artificial Intelligenceto enhance early action towards the Kunming-Montreal Global Biodiversity Framework2AuthorsNicole DeSantis,Lea Phillips,Christina Supples,Julien Pigot,Jamison Ervin,Doley Tshering,Juan Calles Lopez,Dharshani Seneviratne,Enrique Paniagua,and Monica Mora.Acknowledgeme

2、ntsThe authors would like to acknowledge UNDP colleagues Reina Otsuka,Midori Paxton,Vishal Patil,Gayan Peris,Anneke Lincoln Schoeman,Goetz Schroth,and Diwen Xu for their expert review and contribution and Georgina de Moya and Alexis Legigand for their role in facilitating review and application of t

3、he methodology among countries.The authors would also like to acknowledge the support of the 54 countries that participated in the development and refinement of the methodology.Notably,the team thanks the Costa Rican Ministry of the Environment and Energy(MINAE),UNDP Costa Rica,and Roxana L.Garca Hu

4、ezo,whose data visualizations in“Similarity Analysis of Costa Ricas National Biodiversity Strategy with the Kunming-Montreal Global Biodiversity Framework”served as a model for those in the NBSAP Target Similarity Assessments.DisclaimerThe views expressed in this publication are those of the author(

5、s)and do not necessarily represent those of the United Nations,including UNDP,or the UN Member States.UNDP is the leading United Nations organization fighting to end the injustice of poverty,inequality,and climate change.Working with our broad network of experts and partners in 170 countries,we help

6、 nations to build integrated,lasting solutions for people and planet.Learn more at undp.org or follow UNDP.UNDP(2024).Leveraging Artificial Intelligence to enhance early action towards the achievement of the Kunming-Montreal Global Biodiversity Framework.United Nations Development Programme:New York