A Typology for AI-enhanced Online Ideation: Application to Digital Participation Platforms

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dc.contributor.author Bono Rossello, Nicolas
dc.contributor.author Simonofski, Anthony
dc.contributor.author Clarinval, Antoine
dc.contributor.author Castiaux, Annick
dc.date.accessioned 2023-12-26T18:37:42Z
dc.date.available 2023-12-26T18:37:42Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 6daacf6c-0fd3-4b09-a02f-e3872252abac
dc.identifier.uri https://hdl.handle.net/10125/106611
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject AI in Government
dc.subject artificial intelligence
dc.subject collective intelligence
dc.subject digital participation platforms
dc.subject e-participation
dc.subject idea generation
dc.title A Typology for AI-enhanced Online Ideation: Application to Digital Participation Platforms
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Digital Participation Platforms (DPP) can enable a massive online participation of citizens in policy-making. However, this digital channel brings new challenges for citizens in the form of information overload and asynchronous dialogues. Various disciplines of online ideation provide different AI-based approaches to tackle these challenges, but the literature remains fragmented. In consequence, this paper develops a typology for online ideation consisting of six types of AI-enhanced solutions. The application of this typology to DPP shows a prominence of automated tasks, with few AI-human loop approaches, and a current lack of applications at the collective level. This general typology also allows us to compare current DPP solutions to other fields, such as open innovation or recommender systems, and to use these fields as inspiration for future solutions. Overall, this paper suggests a theoretical foundation to analyze AI-enhanced online ideation under the form of a typology. Its application to DPP enables identifying future research opportunities and serves as a basis to develop complex architectures for the use of AI in DPP.
dcterms.extent 10 pages
prism.startingpage 1850
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