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

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dc.contributor.authorBono Rossello, Nicolas
dc.contributor.authorSimonofski, Anthony
dc.contributor.authorClarinval, Antoine
dc.contributor.authorCastiaux, Annick
dc.date.accessioned2023-12-26T18:37:42Z
dc.date.available2023-12-26T18:37:42Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.233
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other6daacf6c-0fd3-4b09-a02f-e3872252abac
dc.identifier.urihttps://hdl.handle.net/10125/106611
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th 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.subjectAI in Government
dc.subjectartificial intelligence
dc.subjectcollective intelligence
dc.subjectdigital participation platforms
dc.subjecte-participation
dc.subjectidea generation
dc.titleA Typology for AI-enhanced Online Ideation: Application to Digital Participation Platforms
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractDigital 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.extent10 pages
prism.startingpage1850

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