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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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