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Public perception on the role of Artificial Intelligence in the sustainable management of tree and forest resources in Kenya

Title
Public perception on the role of Artificial Intelligence in the sustainable management of tree and forest resources in Kenya
Author
박준영
Keywords
Sustainable forest management; AI technologies; tree and forest resources; sustainability; real-time monitoring
Issue Date
2023-10
Publisher
University of Turin
Citation
Visions for Sustainability, v. 20, Page. 1.0-28.0
Abstract
There is a scarcity of information on the role of Artificial Intelligence (AI) in enhancing sustainable forest management worldwide. Using a literature review, this study explores the case of Kenya, with the aim of contributing to a better understanding of the strategies needed to promote the role of AI in the development and sustainability of forests. Results reveal that AI deployment in forestry is still in the infancy stages. The country has some AI technologies in use to promote forest management. Moreover, both public and private, local, and international organizations are actively involved in developing AI applications for forestry to consider the social, economic, and environmental facets of sustainable forest management. Additionally, no studies have been conducted on the public perception and opinions regarding the use and role of AI in sustainable forest management in Kenya. These study findings pose the risk of limited progress, technological gaps, and uncertain impacts on key green infrastructure development priorities; for example, the achievement of 30% tree cover by 2032 and a host of international development obligations, as well as the continued misunderstanding regarding public perceptions of AI deployment in forestry. There is thus an urgent need for accelerating AI research and development in forestry, fostering collaboration between public and private sectors, conducting studies on public perceptions, and ensuring ethical and sustainable AI implementation.
URI
https://ojs.unito.it/index.php/visions/article/view/8025https://repository.hanyang.ac.kr/handle/20.500.11754/187621
ISSN
2384-8677
DOI
10.13135/2384-8677/8025
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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