The Potential for AI to Revolutionize Conservation

For too long, crucial conservation decisions have been hampered by poor evidence use, harming nature and people. The Conservation Evidence Project has worked for 20 years to change this, but gathering vast amounts of information is slow. Now, AI is transforming everything, especially the world of academic literature (see Dr Reynolds’ piece in Nature). This talk reveals how we are using Large and Small Language Models to dramatically accelerate evidence collection and summarisation. This groundbreaking work will fundamentally reshape how we use evidence to make smarter, faster, and more effective decisions in conservation, and beyond.