The feasibility study about the detection of discrepancy in road bridges data on xROAD

Abstract

In Digital Twin, physical space and virtual space are connected by data obtained from sensors and other sources including by human operators. It is not realistic to detect data with different results before and after processing due to human intervention by multiple human checks. This study verified whether ChatGPT, a chatbot using a large-scale language model, can detect such discrepancies in data. This experiment used local government data from xROAD’s road bridge data. The results show that ChatGPT may be able to detect discrepancies between the data obtained from the public API and the inspection report with No Code.