Implications of Artificial Intelligence (AI) in land management

Abstract

This study sought to find out the implications of Artificial Intelligence (AI) in land management. The rapid development of AI, especially in the 21st century, and its applications in land management notably have led to a significant literature gap in the technological sphere, which needs to be addressed. AI has become a significant 7 element in land development, efficiency, optimisation, and decision-making. The research involved engagement and collaboration with various stakeholders, such as researchers, policymakers, communities, and developers, in the construction of a future where AI attributes its value to sustainability within the ethical frameworks established. By questioning the ethical concerns that arise from crucial matters such as data privacy, transparency, environmental impact, social displacement, and algorithmic bias, it was possible to address the negative implications of AI in land management. Results from the research show that there is a likelihood of socioeconomic effects such as job losses, unequal access to technology, and potential exacerbation of rural-urban divides. This study concludes that actively integrating ethical principles into AI development can ensure that AI contributes to sustainable, equitable, and responsible land management practices for the future. The study recommends algorithmic transparency within the research ethics of AI implications on land management.