Artificial intelligence Toolkit
Developing AI algorithms to monitor, predict, simulate and contrast the baseline change in nature with the impact of interventions.
We will develop AI algorithms to monitor, predict, simulate and contrast the baseline change in nature with the impact of interventions, including nature-based solutions and financial investments, over large areas and over long time periods and will reduce the need for costly human monitoring on the ground. We will advance state-of-the-art AI approaches to combine different sources of data, including drones, satellite, survey data, reports and social media, that are robust to a range of environmental scenarios, data noise and model reliability, providing estimates with appropriate levels of uncertainty.
A recent report, ‘Biodiversity and Artificial Intelligence. Opportunities & Recommendations for Action‘, offers actionable recommendations for how governments, NGOs, researchers and companies can use AI to support biodiversity conservation. These recommendations were developed following extensive consultation with a broad community of stakeholders.