Real Estate Insights: Establishing transparency – setting AI standards in property valuation
| Date | 28 June 2024 |
| Pages | 406-408 |
| DOI | https://doi.org/10.1108/JPIF-04-2024-0050 |
| Published date | 28 June 2024 |
| Author | Ka Shing Cheung |
Real Estate Insights: Establishing
transparency –setting AI
standards in property valuation
Ka Shing Cheung
Department of Property, The University of Auckland, Auckland, New Zealand
Abstract
Purpose –This real estate insight scrutinises the emerging role of Artificial Intelligence (AI), particularly
Large Language Models (LLMs) like ChatGPT, in property valuation, advocating for establishing standardised
reporting guidelines in AI-enabled property valuation.
Design/methodology/approach –Through a conceptual exploration, thispiece examines the shift towards
AI integration in property valuation and the critical role of Explainable Artificial Intelligence (XAI) in this
transition. It discusses the CANGARU framework for developing inclusive and universally applicable
reporting guidelines and the importance of human oversight in validating AI-enabled valuations.
Findings –Integrating LLMs into property valuation signifies potential efficiency gains and task automation
but also introduces risks related to accuracy, bias, and ethical dilemmas. Standardised reporting guidelines are
identified as essential for responsibly harnessing AI’s benefits.
Practical implications –The article underscores the need for the real estate industry to adopt transparent
reporting practices, with valuers acting as expert interpreters of AI outputs. Emphasising error reporting in
XAI not only aids in understanding AI-generated insights but also builds trust among stakeholders, ensuring
AI’s ethical and effective application in property valuation.
Originality/value –This commentary contributes to the discourse on AI’s role in property valuation by
focusing on the need for standard reporting guidelines that align with professional standards and legal
frameworks. It advocates for a balanced approach to AI integration, where technological advancements
complement traditional valuation expertise, ensuring accurate, fair, and transparent property valuations.
Keywords ChatGPT, LLM, AI-Enabled valuation, Explainable AI, Property valuation
Paper type Viewpoint
From confusion to clarity
Imagine a modern Tower of Babel, not constructed with bricks and mortar reaching towards the
heavens, but built from the vast, digital expanse of Artificial Intelligence (AI) applications, including
sophisticated Large Language Models (LLMs) like ChatGPT. This symbol of technological
advancement also carries the risk of leading us into confusion and misinterpretation, echoing the
ancient tale that saw humanity scattered across the globe, divided by a multitude of languages. The
Tower of Babel story serves as a stark reminder of the dangers inherent in undertaking ambitious
projects without a shared understanding or language. Today, in the real estate industry, this
translates into a pressing need for standard reporting guidelines. Such standards are crucial to
harnessing the revolutionary potential of AI with consistency, objectivity, and transparency,
thereby averting a descent into a chaos of misunderstanding.
LLMs like ChatGPT mark a paradigm shift in how data is processed, interpreted, and
utilised across various industries. With its complex analyses and reliance on data
interpretation for property valuation, the real estate sector is poised for a new era
propelled by AI technologies. Yet, integrating LLMs into property valuation processes calls
for a thoughtful approach. This article advocates for the establishment of standard reporting
guidelines for the responsible use of AI in property valuation, drawing upon insights from the
CANGARU initiative —ChatGPT and Artificial Intelligence Natural Large Language
Models for Accountable Reporting and Use (Cacciamani et al., 2023).
The introduction ofAI in property valuationoffers myriadbenefits, includingenhanceddata
analysis capabilities, streamlined processes, cost sav ings, and the potential for more accurate
JPIF
42,4
406
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/1463-578X.htm
Journal of Property Investment &
Finance
Vol. 42 No. 4, 2024
pp. 406-408
© Emerald Publishing Limited
1463-578X
DOI 10.1108/JPIF-04-2024-0050
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