Automated Analysis of Conservation Strategies for Endangered Species through AI-Driven Literature Review

Keywords: AI, Endangered Animal

TL;DR: A review paper on AI usage strategies to combat the conservation of endangered species and policy recommendations to boost biodiversity conservation effectiveness

Abstract: In the era of the ’Great Extinction’ driven by climate change and environmental pollution, developing effective and efficient strategies for the conservation of endangered species has become a critical global challenge. Recent advances in artificial intelligence (AI) have enabled the automation of analysis of academic literature and ecological monitoring, allowing researchers to allocate more resources to on-the-ground conservation efforts. This study reviews recent applications of AI-based systems in literature review, ecological monitoring, and risk detection, and compares these approaches with traditional conservation methods. Based on this analysis, the study proposes future directions for technological innovation and offers policy recommendations to enhance the effectiveness of biodiversity conservation.

Submission Number: 92