Limitations and Challenges of AI in Wildlife Conservation

Abstract

This chapter examines AI's potential to enhance wildlife conservation, focusing on applications like species identification, habitat suitability modeling, anti-poaching efforts, and automated monitoring. It highlights successful case studies and real-world uses but also addresses significant challenges such as data constraints, ethical concerns, high costs, and technological barriers that may limit AI's full impact in conservation efforts. The chapter also reviews gaps in current literature and methodologies, pointing to a pressing need for enhanced data quality, interdisciplinary collaboration, and robust ethical guidelines. Emphasizing that AI's integration must be sustainable, the chapter concludes that achieving a balance between technological innovation and ecological integrity is essential to realize AI's transformative potential for global conservation efforts. Ultimately, strategic partnerships and ongoing research will be crucial for scaling AI's role in biodiversity preservation.