Implications of AI in land management

Abstract

This study sought to find out implications of Artificial Intelligence (AI) in land management. Artificial Intelligence (AI) offers significant benefits for land development and decision-making, ethical concerns regarding data privacy, bias, and social impact necessitate frameworks to ensure its responsible application. The increasing use of AI models in land management raises ethical concerns about data ownership, privacy, algorithmic bias, environmental impact, and social displacement. Traditional research ethics frameworks may not be sufficient for AI-driven land management practices.  This paper examines critical issues arising from data governance, algorithmic transparency, and environmental and social impact assessment. It proposes frameworks that consider established research ethics principles and advocate for community engagement.  The paper highlights the potential for AI to contribute to sustainable and equitable land management. However, it also identifies potential negative consequences such as job losses, unequal access to technology, and exacerbation of existing social divides.  The paper emphasizes the need for collaboration between researchers, policymakers, communities, and developers to construct ethical frameworks that ensure AI contributes to sustainable land management practices.  These frameworks should address data governance, algorithmic transparency, environmental and social impact assessments, and community engagement.