Improving the Role of Communities in Participatory Forest Management through Artificial Intelligence: The Case of Nairobi City Park Community Forest association

作者：S. Chisika, C. Yeom · 发表于：International forestry review · 年份：2024 · DOI：10.1505/146554824838457916 · 被引用次数：4

HIGHLIGHTS AI has the potential to enhance participatory forest management (PFM) for sustainable practices in developing countries. Kenya has a favorable policy and legal environment for deploying and using AI technologies in sustainable forest management. The case of Nairobi City Park highlights the AI potential in PFM and has identified flaws in its current manual data management systems. There are positive community perceptions on the role of AI in enhancing PFM, as expressed by 90% of community views. However, there are areas of weakness that need to improve in order to reap the maximum AI benefits in PFM. SUMMARY The integration of artificial intelligence (AI) into participatory forest management (PFM) is emerging as a promising strategy for promoting sustainable forest management in developing countries. Using a case study approach from Kenya involving 85 respondents from the Nairobi City Park Community Forest Association, this study explored the potential for AI implementation in PFM to improve community roles in data acquisition and management. The study results show that the current data management system for executing community roles in PFM is inefficient, time-consuming, and susceptible to errors. However, there are substantial gains and opportunities in implementing community roles through AI. AI utilization could be fostered through the existing Information Communication Technology (ICT) resources such as smartphones for efficient and transparent data processes. ...