AI4Deliberation_D2.2 – AI-enabled Deliberation Processes – first version

This deliverable reports on Tasks 2.2 and 2.3 of Work Package 2 (Design AI-enabled Deliberation Methods) of the AI4Deliberation project. It provides a practical guideline for designing deliberative processes that can operate effectively at scale, addressing the central challenge of expanding participation while preserving the quality of collective reasoning. The deliverable translates core deliberative principles — equality, inclusion, plurality, authenticity, and reflection — into implementable design actions for practitioners working with large-scale, digitally supported, or institutionally constrained participatory processes. It combines a conceptual reference framework (Part I) with a modular, constraint-driven application framework (Part II), including deliberative treatments, an AI requirement upscaling matrix, and an operational design tool for upscaling deliberation. A key output is an interactive Shiny-based Deliberative Process Design Tool (DPDT), which allows users to dynamically explore design choices linking deliberative principles, process stages, constraints, and AI-supported options.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.20020196
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
0.00

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article

AI4Deliberation_D2.2 – AI-enabled Deliberation Processes – first version

Efthimios Tambouris, Dimitris Zeginis, Evangelos Kalampokis, Konstantinos Tarabanis et al.
Zenodo (CERN European Organization for Nuclear Research)
Innovative Human-Technology Interaction
article

AI4Deliberation_D2.2 – AI-enabled Deliberation Processes – first version

Efthimios Tambouris, Dimitris Zeginis, Evangelos Kalampokis, Konstantinos Tarabanis, Maurice Flechtner, Francesco Veri, Jane Veri
article en

Abstract

This deliverable reports on Tasks 2.2 and 2.3 of Work Package 2 (Design AI-enabled Deliberation Methods) of the AI4Deliberation project. It provides a practical guideline for designing deliberative processes that can operate effectively at scale, addressing the central challenge of expanding participation while preserving the quality of collective reasoning. The deliverable translates core deliberative principles — equality, inclusion, plurality, authenticity, and reflection — into implementable design actions for practitioners working with large-scale, digitally supported, or institutionally constrained participatory processes. It combines a conceptual reference framework (Part I) with a modular, constraint-driven application framework (Part II), including deliberative treatments, an AI requirement upscaling matrix, and an operational design tool for upscaling deliberation. A key output is an interactive Shiny-based Deliberative Process Design Tool (DPDT), which allows users to dynamically explore design choices linking deliberative principles, process stages, constraints, and AI-supported options.

Zenodo (CERN European Organization for Nuclear Research)
University of Zurich (CH), Centre for Research and Technology Hellas (GR)
European Commission
Reduced inequalities
Openalex Percentile: Top 46%
Innovative Human-Technology Interaction
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