Integration of Large Language Models and Digital Twins in the Public Sector

dc.contributor.authorSultanow, Eldar
dc.contributor.authorChircu, Alina
dc.contributor.authorCzarnecki , Christian
dc.contributor.authorSeßler, Matthias
dc.contributor.authorGrum, Marcus
dc.date.accessioned2024-12-26T21:10:57Z
dc.date.available2024-12-26T21:10:57Z
dc.date.issued2025-01-07
dc.description.abstractThe potential of large language models (LLMs) for generative artificial intelligence that underpin chatbots like ChatGPT, Gemini, or Neuroflash to improve both personal and organizational work processes is enormous. In this paper, we discuss how LLMs could be integrated with another emerging digital technology concept, digital twins, to optimize and automate processes in the public sector. This integration can allow for accurate and detailed modeling of complex systems and interactions within society, and enhance decision-making, policy development and strategic planning through simulation and automation.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.844
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other2a6b920c-74e6-439f-972d-eaf37c11477e
dc.identifier.urihttps://hdl.handle.net/10125/109695
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBuilding Software in a World of Digital Twins
dc.subjectartificial intelligence, digital transformation, digital twin, llm, public sector
dc.titleIntegration of Large Language Models and Digital Twins in the Public Sector
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage7058

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