Abstract
Artificial intelligence (AI) and machine learning (ML) are transforming property and real asset valuation, offering improved accuracy, efficiency and scalability. This chapter examines the integration of AI-driven valuation tools and their role in aligning with the United Nations Sustainable Development Goals (SDGs) 9 and 11. While these technologies can enhance decision-making and streamline valuation processes, challenges such as transparency, data reliability and algorithmic bias remain. Through a review of global best practices and case studies from Australia and Canada, the chapter highlights the importance of robust regulatory frameworks and industry collaboration in enabling ethical and effective AI and ML adoption in valuation. As AI- and ML-driven valuation continues to evolve, policymakers, industry stakeholders and valuation professionals must address governance challenges to ensure responsible and sustainable implementation. The chapter concludes with recommendations to guide the integration of AI in valuation practices while maintaining trust and professional standards.
| Original language | English |
|---|---|
| Title of host publication | Advancing Real Property Valuation |
| Editors | Johari Hussein Nassor Amar, Lynne Armitage |
| Place of Publication | Abingdon, United Kngdom |
| Pages | 33-56 |
| Edition | 1 |
| DOIs | |
| Publication status | Published - 12 Feb 2026 |
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