Exploring cartographic language for AI

Applications of generative artificial intelligence (AI) become available to a wider public, in general for the creation of text, images or videos.AI pilots in office environments help to analyse and summarize written text, answer emails, write code, generate 3D models or even perform text to speech conversions in unprecedented quality [Kingma 2013].The rapid development of the AI toolset and its impressive results [Ashish 2017] lead to the question, when automated and high quality map production will be covered by AI agents [Mnih 2013].The authors of this contribution have identified the importance and formalization of "cartographic language" as key factor for cartographic AI agents and cornerstone for future reliable GeoAI developments.