Artificial Intelligence-Driven Biodiversity Conservation Framework: A Literature Review
Abstract
Artificial intelligence (AI) has emerged as a transformative tool in biodiversity conservation, offering the potential to revolutionize ecological data collection, analysis, prediction, and decision-making processes. This literature review synthesizes insights from recent scholarship on AI applications, with a particular focus on the design, implementation, and governance of AI-driven frameworks. It concludes by proposing principles and research directions for the responsible and effective integration of AI in the service of global biodiversity.
Fields of Study & Subjects
Species Distribution and Climate Change
Conservation
Ecology
Wildlife Education
Advanced Technologies in Various Fields
Publication details
- Journal / source
- Preprints.org
- Publication date
- 7 January 2026
- Document type
- Preprint