Knowledge, attitudes, and practices of forestry professionals towards artificial intelligence (AI)

Abstract

Artificial intelligence (AI) is increasingly changing decision-making, resource management, and conservation strategies in forestry and natural resources. This study employs the knowledge, attitudes, and practices (KAP) framework to examine forestry professionals' perceptions and engagement with AI across different sectors. Using semi-structured interviews with government workers, industry employees, researchers, educators, and students, we explore AI applications, ethical considerations, labor dynamics, and future considerations for FNR. Findings reveal a need for cross-sector collaboration to create consistent AI policies and a complex relationship between workforce reduction and AI adoption. While many professionals recognize AI's potential to improve efficiency and analysis, concerns about accountability for AI decision-making remain prevalent. We discuss these perspectives in relation to existing literature on AI and suggest human-centric AI adoption moving forward.