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

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Résumé

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.

langue originaleAnglais
titreProceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
rédacteurs en chefTung X. Bui
EditeurIEEE Computer Society
Pages1850-1859
Nombre de pages10
ISBN (Electronique)9780998133171
Etat de la publicationPublié - 2024
Evénement57th Annual Hawaii International Conference on System Sciences, HICSS 2024 - Honolulu, États-Unis
Durée: 3 janv. 20246 janv. 2024

Série de publications

NomProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (imprimé)1530-1605

Une conférence

Une conférence57th Annual Hawaii International Conference on System Sciences, HICSS 2024
Pays/TerritoireÉtats-Unis
La villeHonolulu
période3/01/246/01/24

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