Submitted:
02 January 2026
Posted:
07 January 2026
You are already at the latest version
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.
Keywords:
artificial intelligence
; biodiversity conservation
; machine learning
; area under the curve (AUC)
; explainable artificial intelligence (XAI)
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
