This article discusses the use of Artificial Intelligence (AI) and Machine Learning (ML) in biodiversity conservation efforts. It highlights the importance of data-driven decision making and the potential of AI and ML to automate and improve conservation processes. The article also calls for contributions in two categories: incorporating AI into the conceptual framework of conservation biology and ecology, and case studies of successful AI applications in conservation.
