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Defining the concept of Massive Collective Intelligence Devices (MCID) : insights from the field

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  • Eline Vivet Maladry

    (UEVE - Université d'Évry-Val-d'Essonne, LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris])

  • Rémi Jardat

    (LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], UEVE - Université d'Évry-Val-d'Essonne)

Abstract

This article examines the role of Artificial Intelligence (AI) in Collective Intelligence (CI). More precisely, it focuses on large-scale deliberative tools that facilitate participatory decision-making in both democratic and corporate contexts. The research highlights the interplay between humans and AI, emphasizing that these tools, while promising, often result in centralized decision-making, contradicting the ideal of distributed CI found in the reference literature. The empirical study is based on qualitative methods and underscores gaps in empirical evidence of the newly emerging field of collective intelligence in the AI era. After highlighting a few results regarding the characteristics of these tools, the paper calls for more explicit terminology to describe them better and analyze them. The paper aims to propose the term "Massive Collective Intelligence Devices (MCID)." Thus, this article proposes a new concept based on an empirical study and a critical literature review.

Suggested Citation

  • Eline Vivet Maladry & Rémi Jardat, 2025. "Defining the concept of Massive Collective Intelligence Devices (MCID) : insights from the field," Post-Print hal-05249661, HAL.
    • Handle: RePEc:hal:journl:hal-05249661
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