EURO 2024 Copenhagen
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2779. Exploring Participatory Approaches: Integrating AI with Collective Intelligence in the Archivio Atena project

Invited abstract in session TB-13: Impact of AI on Soft OR - A, stream Soft OR and Problem Structuring Methods.

Tuesday, 10:30-12:00
Room: 15 (building: 116)

Authors (first author is the speaker)

1. SABRINA SACCO
Architecture, University of Naples Federico II
2. Piero ZIZZANIA
DiARC - Dipartimento di Architettura, Università degli Studi di Napoli "Federico II"
3. Giuliano Poli
Department of Architecture, University of Naples Federico II
4. Maria Cerreta
Department of Architecture (DiARC), University of Naples Federico II

Abstract

In recent years, AI has witnessed a shift towards the inclusion of participatory approaches. This transition highlights the need of integrating AI with various methodologies, e.g. citizen science, crowdsourcing or digital democracy platforms. However, adopting a participatory approach means engaging communities and activating their Collective Intelligence (CI) across all stages of the AI system. Grounded in Activity Theory, this research aims to explore the potential of AI in gaining CI, facilitating the elicitation of collective values within communities and nurturing awareness and trust in AI tools. The research focuses on the Archivio Atena project, a culture-led initiative in Atena Lucana, in the South of Italy. Using image data collected during the project activities, the study encourages the community to participate in a collective supervised learning process for the AI, by tagging them with value-based labels. This iterative process enables participants to recognize collective value patterns, supporting data clustering and furnishing an evaluation tool for impact metrics within the future projects. The integration of AI with participatory methodologies offers a promising approach to address subjective and collective issues, beyond quantitative and objective realms. By leveraging AI in the context of PSMs, this research outlines both the limitations and potentials of AI in facilitating the promotion of CI and defining useful criteria for impact evaluation processes.

Keywords

Status: accepted

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