The National AI Strategy Committee announced the pilot development of a machine learning-based risk assessment model to detect signs of rental fraud in advance using data. This model aims to identify and prevent potential rental fraud through various data analyses.
This pilot development is part of the government’s efforts to reduce rental fraud damage. The risk assessment model evaluates rental fraud risk by comprehensively analyzing real estate transaction data, financial information, and social factors.
The National AI Strategy Committee plans to use this model to prevent rental fraud in advance and support citizens in conducting safe real estate transactions. Additionally, they will continuously update data and improve the model to enhance accuracy.
In the future, the model will be expanded nationwide to establish a rental fraud prevention system, and cooperation with related agencies will be strengthened to enhance education and publicity on rental fraud prevention.