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 development is part of efforts to prevent rental fraud and enhance transparency in the housing rental market.
The model utilizes various data sources to predict the possibility of rental fraud. It can warn of fraud risks before signing a rental contract, providing a safer transaction environment for both tenants and landlords. Additionally, the model is designed to be continuously updated for more accurate predictions.
Based on the data obtained from this pilot development, the National AI Strategy Committee plans to improve the model and expand its application nationwide in the future. To this end, they will strengthen data collection and analysis in cooperation with relevant institutions. They also plan to conduct campaigns to raise public awareness about rental fraud prevention.