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Overcoming the biodiversity decision gap with AI

The urgent need to halt biodiversity loss combined with technological improvements has sparked a revolution in conservation science, expanding our capacity to see, hear, and sense nature at scale. This unprecedented capacity to measure the biosphere and its changes has been enabled by advances in AI to collect and process data at scale. But AI and related computational tools offer transformative potential beyond data aggregation, processing, and description. AI can also help determine more effective actions across time and space while accounting for uncertainty, dynamic systems, strategic behavior, complex constraints, and scale. However, their application has scarcely touched the world of nature recovery, conservation, and protection—contributing to a shortfall that we term the “biodiversity decision gap”. Here, we highlight the growing potential of AI decision-making methods to support biodiversity conservation. Learning Objectives: By the end of this session, participants will be able to: Understand the data-to-decisions pipeline Identify different types of decisions and interventions required for biodiversity Examine AI methods for intervention design AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Register now for the AI for Good Global Summit 2026! Go free or VIP. https://aiforgood.itu.int/summit26/ Join the Neural Network! 👉https://aiforgood.itu.int/neural-netw... The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos!    / aiforgood   📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good... 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X:   / aiforgood   LinkedIn Page:   / 26511907   LinkedIn Group:   / 8567748   Instagram:   / aiforgood   Facebook:   / aiforgood   Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.