Artificial Intelligence-Driven Biodiversity Conservation Framework: A Literature Review

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Authors: Diptarup Mallick
Cited by: 0

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