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Autonomous Agents and Multi-Agent Systems - CfP: Special Issue on Citizen-Centric AI Systems

Journal of Autonomous Agents and Multiagent Systems

Citizen-centric AI systems are promising solutions to address pressing societal challenges, from transitioning to on-demand mobility to decarbonizing our energy system. However, to create trustworthy and fair AI systems, we need to consider citizens as first-class agents with diverse needs and preferences. The goal of this special issue is to showcase alternative approaches to building AI systems that are centred around citizens and their needs.

We invite researchers from the wider community interested in AI and its interaction with social sciences, policy, and governance to submit original research articles that address the technical challenges and opportunities of citizen-centric AI systems. Topics of interest include, but are not limited to:

  • Preference learning: How to learn the needs and preferences of citizens? How to do this with sparse observations and limited interactions? How to preserve user privacy? How to aggregate preferences in a privacy-aware way?
  • Incentive design: How to minimize strategic behaviour and scope for manipulation by all stakeholders? How to offer incentives for behaviour change in a transparent and socially acceptable manner?
  • Fairness: How to ensure that AI systems lead to fair and equitable decisions? How to monitor and minimize bias? How to trade off social, economic, and environmental objectives within a citizen-centric AI system?
  • Explainability and feedback: How to explain decisions to citizens? How to involve all stakeholders in gathering feedback, co-designing and monitoring the operation of a citizen-centric AI system?

We welcome submissions that use a wide range of techniques, including (but not limited to):

  • Agent-based modelling and simulation
  • Game theory and mechanism design
  • Preference elicitation and negotiation
  • Formal methods and norms
  • Multiagent reinforcement learning
  • Human-in-the-loop approaches
  • Deep learning approaches
  • Multi-objective optimization
  • Evaluation of agents
  • Cooperative exploration and learning
  • Learning trust and reputation
  • Bio-inspired AI
  • Explainable and responsible AI
  • Interdisciplinary approaches


Here, we use "citizen" to denote an end user of an AI system, or someone directly affected by it. We use this term to include a broad spectrum of users, including non-experts, but also to highlight the democratic nature of distributed human-AI systems. To that end, our special issue on citizen-centred AI systems welcomes studies that go beyond governmental applications and encompass a broader range of user-centred AI solutions. We also encourage submissions that look at applications of citizen-centric AI systems to complex real-world problems, such as:

  • Smart transportation in urban and rural areas
  • Uses of AI systems in smart energy
  • Disaster response
  • AI in the healthcare domain


This special issue is related to topics discussed in the Journal of Autonomous Agents and Multiagent Systems (JAAMAS) but focuses on human-centred approaches. We encourage submissions that provide novel insights into citizen-centric AI systems, look at how multiagent systems research can contribute to and benefit from citizen-centrality, and demonstrate practical applications, or contribute to the development of theoretical frameworks.

Timeline:

  • Submission deadline: October 2, 2023
  • First-round review notification: January 5, 2023
  • Revised manuscript deadline: March 1, 2024
  • Final decision notification: April 1, 2024
  • Expected publication date: June/July 2024


Guest Editors:

  • Sebastian Stein, University of Southampton, UK 
  • Reyhan Aydoğan, Ozyegin University, Turkey
  • Yali Du, King’s College London, UK
  • Behrad Koohy, University of Southampton, UK 
  • Vahid Yazdanpanah, University of Southampton, UK


In terms for formatting instructions, we follow the JAAMAS instructions as detailed on the following page: https://www.springer.com/journal/10458/submission-guidelines (this opens in a new tab)




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