Adoption of artificial intelligence in land administration systems

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School of Engineering | Bachelor's thesis
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Date

2025-12-08

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Real estate economics and geoinformatics

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Bachelor's Programme in Engineering
Insinööritieteiden kandidaattiohjelma
Kandidatprogrammet i ingenjörsvetenskap

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en

Pages

24

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Abstract

Land administration systems form a cornerstone of modern economies and enable the effective and secure operation of the four core land administration functions of tenure, value, use and development. During the digital age these systems have evolved by the pull of societal demand and global trends and the push of technological innovation. Artificial intelligence and its related technologies offer great potential for digitalization. The aim of this thesis is to examine the current stage of adoption of AI technologies in land administration systems across the four main functions. Furthermore, it aims to find what are the benefits, challenges and future potential posed by the application of artificial intelligence. The study first presents the main concepts pertaining to land administration and its developmental history and follows with key concepts of artificial intelligence. The findings show that there is definite usage of artificial intelligence in land administration systems already. Leveraging different machine learning models has enabled automation of processes, enhanced analytical performance, support for making decisions and digitizing of analog documents. However, the adoption is challenged by a lack of usable data which further restricts the scalability and accuracy of the models. Moreover, the current models also struggle with transparency issues related to explainability of outcomes. Additionally, privacy and legal concerns as well as institutional and ethical challenges persist. Finally, the lack of a widely accepted framework hinders further and systematic adoption. The thesis concluded that the adoption of AI technologies has clear benefits and show promise for future development. To achieve this however, the challenges need to be addressed. Further research could focus on what an adoption focused framework should look like to enable more comprehensive and systematic utilization.

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Supervisor

Tähtinen, Lassi

Thesis advisor

Ajayi, Opeyemi

Keywords

land administration system, land administration, artificial intelligence

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https://urn.fi/URN:NBN:fi:aalto-202512239543

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