Can naive and expert users spot the difference between AI vs. human-generalized maps?

As it is evident to the trained cartographers, the decision making process leading to designing a legible map at a smaller scale is called cartographic generalization.Through various operators, cartographic generalization seeks e.g., the selection and simplification of the spatial data to adapt it to the target detail level, specific application and user requirements (Kraak et al., 2020).Researchers have used a variety of artificial intelligence (AI) methods to automate cartographic generalization throughout decades, with a marked amplification in such efforts in recent years, including expert systems, multi-agent systems and machine learning approaches (Touya et al.,