(6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023), 2023) Gille, Michael; Schomacker, Thorben; von der Hülls, Jörg; Tropmann-Frick, Marina
Machine-learning-based text simplification can be used to meet legal obligations to provide comprehensibility-enhanced public service texts. The article examines the use of artificial intelligence for public administration communication in rule-based easy language. The authors outline essential technical, legal and normative requirements for the development and use of automated text simplification through neural language generation. As part of the Open-LS research project, a contribution is made to clarifying the possibilities and limits of the use of artificial intelligence systems for text simplification in public services.