Artificial Intelligence is an emerging tool that could be leveraged to identify the effective conservation solutions demanded by the urgent biodiversity crisis.
We present the results of our horizon scan of AI applications likely to significantly benefit biological conservation. An international panel of conservation scientists and AI experts identified 21 key ideas. These included species recognition to uncover 'dark diversity', multimodal models to improve biodiversity loss predictions, monitoring wildlife trade, and addressing human–wildlife conflict. We consider the potential negative impacts of AI adoption, such as AI colonialism and loss of essential conservation skills, and suggest how the conservation field might adapt to harness the benefits of AI while mitigating its risks.
TESSERA 1.0 is now fully available as Zarr with global RGB previews, a weather downscaling preprint, and Evidence TAP gets a public website with progress on the downloader and parser.
Workshop report combining TESSERA geospatial foundation models with Concordia agent-based modeling to simulate ecosystem resilience, covering causal modeling for ecology and AI applications in nature conservation.
Reflections on UK-India AI collaboration from meetings at the Alan Turing Institute and OpenUK, discussing ethical AI deployment, open source infrastructure, and the challenges of building community in the age of AI-assisted coding.
Reflections on meeting Jensen Huang as he received the 2025 Hawking Fellowship, discussing his views on education, assessment, risk-taking culture at Nvidia, and the future of AI in scientific discovery and biological research.
