Home|Journals|Articles by Year|Audio Abstracts
 

Research Article

EEO. 2021; 20(3): 1244-1253


A Study on the Use and Risk of Artificial Intelligence in the Appraisal Industry

HyunRim Ko,*JongChil Shin.




Abstract

The purpose of this study is to investigate Korean appraisersÂ’ perception of the potential for the utilization of Artificial Intelligence (AI) and the related risks of using AI in the appraisal industry. We conducted a mobile survey for appraisers from February 10 to 18, 2020. We collected survey data from 193 respondents. Frequency Analysis and Multiple Response Analysis were performed for basic analysis. Factor Analysis was used to analyze various types of risks in using AI for appraisal industry. To visualize these risks, we drew positioning maps using the Multidimensional Scaling Method. Appraisers have a positive perception on the introduction of AI in the appraisal industry, but they also recognized the negative effects related to job losses and job replacements. They mainly considered collateral, consulting, and taxation appraisal as areas with high potential for using AI and areas with high replaceability of human labor. They were more aware of the substitution risk by AI in these areas. They were highly aware of accountability, privacy & security, and technical error risks. However, fairness, transparency, and reliability risks are generally perceived as low risk issues. While prior studies have mainly studied the analysis method of applying AI to the mass appraisal model, this study focused on the use and risk of AI. Understanding the perception of industry experts on the utilization of AI helps to minimize the potential risks that may arise when AI is introduced on a large scale.

Key words: Appraisal Industry, Risks of using Artificial Intelligence (AI), Multidimensional Scaling Method (MDS), MDPREP (Multidimensional Preference), Positioning Map






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.