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Liquid Artificial Intelligence Through IDSA and GAIA-X Integration

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Advances in Information and Communication (FICC 2025)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1283))

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Abstract

Liquid artificial intelligence is a dynamic data processing approach that enables real-time, adaptable management and analysis of data across various platforms. So far, Liquid AI has been considered as a technical concept, and there are no studies that relate it to data governance frameworks such as those proposed by the international data spaces association and GAIA-X, which play a key role when setting standards for data sovereignty, security, and interoperability. To address this gap, we propose a reference architecture and algorithms for integrating the IDSA and GAIA-X frameworks within the context of Liquid AI, with a focus on their application in Intelligent Hospital Management and Intelligent Traffic Control systems. Based on the study, future work will focus on experimentally and empirically evaluating the proposed reference architecture in real-world settings and exploring its interoperability with other frameworks, as well as integrating emerging technologies to improve its effectiveness.

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Authors and Affiliations

  1. Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland

    Muhammad Waseem, Niko Mäkitalo, Pyry Kotilainen & Tommi Mikkonen

  2. School of Computing and Communications, Lancaster University, Leipzig, Germany

    Aakash Ahmad

  3. Faculty of Information Technology and Communication, Tampere University, Tampere, Finland

    David Hästbacka, Krista Mätäsniemi & Kari Systä

Authors
  1. Muhammad Waseem
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  2. Aakash Ahmad
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  3. Niko Mäkitalo
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  4. Pyry Kotilainen
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  5. David Hästbacka
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  6. Krista Mätäsniemi
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  7. Kari Systä
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  8. Tommi Mikkonen
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Corresponding author

Correspondence to Muhammad Waseem .

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Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

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Waseem, M. et al. (2025). Liquid Artificial Intelligence Through IDSA and GAIA-X Integration. In: Arai, K. (eds) Advances in Information and Communication. FICC 2025. Lecture Notes in Networks and Systems, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-031-84457-7_2

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