Large language models (LLMs) as agents for augmented democracy

We explore an augmented democracy system built on off-the-shelf large language models (LLMs) fine-tuned to augment data on citizens' preferences elicited over policies extracted from the government programmes of the two main candidates of Brazil's 2022 presidential election. We use a train...

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Veröffentlicht in:	Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences Jg. 382; H. 2285; S. 20240100
Hauptverfasser:	Gudiño, Jairo F, Grandi, Umberto, Hidalgo, César
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 16.12.2024
Schlagworte:	Brazil Democracy Humans Language Models, Theoretical Politics Brazil direct democracy digital twins algorithmic democracy natural language processing digital democracy artificial intelligence
ISSN:	1471-2962, 1471-2962
Online-Zugang:	Weitere Angaben
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