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Proceedings of the third international workshop on citizen-centric multiagent systems 2025 (C-MAS 2025)

Proceedings of the third international workshop on citizen-centric multiagent systems 2025 (C-MAS 2025)
Proceedings of the third international workshop on citizen-centric multiagent systems 2025 (C-MAS 2025)
Welcome to the third edition of C-MAS, the International Workshop on Citizen-Centric Multiagent Systems. Over the past two years, C-MAS has focused on reshaping how we think about AI and multiagent systems in relation to society and role of end users. We continue to challenge the conventional view of users as passive data sources or service consumers. Instead, we emphasise the role of citizens as active agents with their own goals, preferences, and responsibilities within sociotechnical systems. As AI technologies increasingly shape our public spaces, communities, and infrastructures, a citizen-centric perspective become crucial for ensuring these systems are inclusive, trustworthy, and socially beneficial. C-MAS 2025 builds on the foundations laid in 2023 and 2024, pushing further into questions of participation, agency, and impact.

This year, we are expanding our focus to highlight not only the design of citizen-centric MAS but also their deployment and evaluation in real-world contexts. Our sessions cover key themes such as "Empowering Citizens in Critical Services", "Modelling Human Needs in Shared Environments", "Multiagent Learning for Public Decision-Making", and "Ethics, Fairness, and Normative Reasoning". Through these discussions, we aim to bridge the gap between research prototypes and impactful, citizen-focused AI solutions. We are excited to welcome an interdisciplinary community of researchers all contributing to a shared vision: AI systems that serve and empower the citizens.
Artificial Intelligence, Citizen-Centric AI Systems, Multiagent Systems, Trustworthy Autonomous Systems, Responsible AI
figshare
Du, Yali
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Kokciyan, Nadin
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Koohy, Behrad
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Santos, Fernando P.
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Stein, Sebastian
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Yazdanpanah, Vahid
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Du, Yali
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Kokciyan, Nadin
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Koohy, Behrad
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Santos, Fernando P.
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Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Yazdanpanah, Vahid
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Du, Yali, Kokciyan, Nadin, Koohy, Behrad, Santos, Fernando P., Stein, Sebastian and Yazdanpanah, Vahid (eds.) (2025) Proceedings of the third international workshop on citizen-centric multiagent systems 2025 (C-MAS 2025) , figshare, 113pp.

Record type: Book

Abstract

Welcome to the third edition of C-MAS, the International Workshop on Citizen-Centric Multiagent Systems. Over the past two years, C-MAS has focused on reshaping how we think about AI and multiagent systems in relation to society and role of end users. We continue to challenge the conventional view of users as passive data sources or service consumers. Instead, we emphasise the role of citizens as active agents with their own goals, preferences, and responsibilities within sociotechnical systems. As AI technologies increasingly shape our public spaces, communities, and infrastructures, a citizen-centric perspective become crucial for ensuring these systems are inclusive, trustworthy, and socially beneficial. C-MAS 2025 builds on the foundations laid in 2023 and 2024, pushing further into questions of participation, agency, and impact.

This year, we are expanding our focus to highlight not only the design of citizen-centric MAS but also their deployment and evaluation in real-world contexts. Our sessions cover key themes such as "Empowering Citizens in Critical Services", "Modelling Human Needs in Shared Environments", "Multiagent Learning for Public Decision-Making", and "Ethics, Fairness, and Normative Reasoning". Through these discussions, we aim to bridge the gap between research prototypes and impactful, citizen-focused AI solutions. We are excited to welcome an interdisciplinary community of researchers all contributing to a shared vision: AI systems that serve and empower the citizens.

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Published date: 20 May 2025
Keywords: Artificial Intelligence, Citizen-Centric AI Systems, Multiagent Systems, Trustworthy Autonomous Systems, Responsible AI

Identifiers

Local EPrints ID: 501060
URI: http://eprints.soton.ac.uk/id/eprint/501060
PURE UUID: 511ae1ff-006d-4efe-8362-3b7de1a739cb
ORCID for Sebastian Stein: ORCID iD orcid.org/0000-0003-2858-8857
ORCID for Vahid Yazdanpanah: ORCID iD orcid.org/0000-0002-4468-6193

Catalogue record

Date deposited: 21 May 2025 16:51
Last modified: 22 Aug 2025 02:29

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Contributors

Editor: Yali Du
Editor: Nadin Kokciyan
Editor: Behrad Koohy
Editor: Fernando P. Santos
Editor: Sebastian Stein ORCID iD
Editor: Vahid Yazdanpanah ORCID iD

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