Gille, MichaelSchomacker, Thorbenvon der Hülls, JörgTropmann-Frick, MarinaGunnar AuthTim Pidun2023-11-132023-11-132023978-3-88579-735-7https://dl.gi.de/handle/20.500.12116/42620Machine-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.deText simplificationTransformerAI RegulationLeichte SpracheDIN SPEC 33429Text/Conference Paper10.18420/rvi2023-0131617-5468