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Proceedings of the International Workshop on Citizen-Centric Multiagent Systems 2023

Proceedings of the International Workshop on Citizen-Centric Multiagent Systems 2023
Proceedings of the International Workshop on Citizen-Centric Multiagent Systems 2023
Large-scale AI systems promise to address important societal challenges, such as decarbonising our energy system, transitioning to on-demand mobility or responding effectively to disasters. However, citizen end users are often seen as peripheral to these systems, assumed to be passively providing data and consuming services. The goal of this workshop on citizen-centric multiagent systems (C-MAS) is to explore alternative approaches that treat citizen end users as first-class agents with diverse needs and preferences, thus enabling more trustworthy, fairer and potentially more widely accepted sociotechnical solutions to pressing societal challenges. C-MAS 2023 will draw on the substantial body of work within multiagent systems on how to model, design and reason about complex systems of interacting self-interested agents, which may include citizen end users, service providers, governmental bodies and other stakeholders. It will also build on emerging techniques from human-centred AI to promote fairness and to enable explainability. This workshop will be relevant for researchers, both in industry and academia, whose research affects and involves citizens end non-expert users.
Citizen-Centric AI Systems, Trustworthy autonomous systems, trustworthy AI, AI for social good, citizen-centric multiagent systems
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Stein, Sebastian
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Criado, Natalia
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Koohy, Behrad
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Larson, Kate
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Slavkovik, Marija
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Yazdanpanah, Vahid
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Stein, Sebastian
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Criado, Natalia
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Koohy, Behrad
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Larson, Kate
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Slavkovik, Marija
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Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56

[Unknown type: UNSPECIFIED]

Record type: UNSPECIFIED

Abstract

Large-scale AI systems promise to address important societal challenges, such as decarbonising our energy system, transitioning to on-demand mobility or responding effectively to disasters. However, citizen end users are often seen as peripheral to these systems, assumed to be passively providing data and consuming services. The goal of this workshop on citizen-centric multiagent systems (C-MAS) is to explore alternative approaches that treat citizen end users as first-class agents with diverse needs and preferences, thus enabling more trustworthy, fairer and potentially more widely accepted sociotechnical solutions to pressing societal challenges. C-MAS 2023 will draw on the substantial body of work within multiagent systems on how to model, design and reason about complex systems of interacting self-interested agents, which may include citizen end users, service providers, governmental bodies and other stakeholders. It will also build on emerging techniques from human-centred AI to promote fairness and to enable explainability. This workshop will be relevant for researchers, both in industry and academia, whose research affects and involves citizens end non-expert users.

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Published date: 30 May 2023
Keywords: Citizen-Centric AI Systems, Trustworthy autonomous systems, trustworthy AI, AI for social good, citizen-centric multiagent systems

Identifiers

Local EPrints ID: 477121
URI: http://eprints.soton.ac.uk/id/eprint/477121
PURE UUID: 1841f33f-354d-4974-9bc1-915dfa6a81e8
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: 30 May 2023 16:31
Last modified: 17 Mar 2024 04:02

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Contributors

Editor: Sebastian Stein ORCID iD
Editor: Natalia Criado
Editor: Behrad Koohy
Editor: Kate Larson
Editor: Marija Slavkovik
Editor: Vahid Yazdanpanah ORCID iD

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