Jeran Cloete and Dian Spear of Stellenbosch University, Jessica da Silva of the South African National Biodiversity Institute, Lavhelesani Dembe Simba of Fort Hare and Peter J Carrick at the University of Cape Town discuss AI’s use in conservation efforts.
Conservationists analyse overwhelming volumes of ecological data in their work. For example, they might need to process decades of weather data or the movements of millions of insects. Up until now, these scientists and decision makers have had to manually find and sort information, then use statistical tools which often oversimplify the source information.
Artificial intelligence (AI) tools now promise to help with all that. But can they deliver on the promise?
They are far from perfect. It’s been shown that they can confidently make up information and amplify hidden biases in their training data. And different AI tools have different uses, strengths and weaknesses. They need to be chosen carefully.
AI featured among the top 10 emerging issues in biodiversity conservation in South Africa in a recent horizon scan that we undertook. As part of a group of 14 experts in biodiversity conservation, we drew on discussions within our diverse professional networks, literature and news trends to identify issues likely to emerge and intensify over the next 5-10 years.
