Interview with AI@CAM about conservation (via AI@Cam) / Jun 2024

I talked to the AI@Cam team to discuss our AICN project and what we're planning to do in the Conservation Evidence Copilots team.

Over the last two decades, the University of Cambridge-based project Conservation Evidence has screened more than 1.6 million scientific papers on conservation, as well as manually summarising 8,600+ studies relating to conservation actions. However, the current project’s work is limited by the specialised skills needed to screen and summarise relevant studies. It took more than 75 person years to manually curate the current database and only a few 100 papers can be added each year. By accelerating these efforts, AI has the potential to transform the impact this database has on biodiversity conservation.

What we’re aiming to do through the ai@cam project – bringing together an interdisciplinary team from across the fields of computer science, ecology, climate and conservation – is to build up models of the world that are really detailed and that can be queried by policy makers to help make informed decisions.

-- AI@Cam