Agents for Societal Impact (ASI)

The 7th International Workshop on Agents for Societal Impact (formerly Autonomous Agents for Social Good) will be held in conjunction with the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) in 25 May 2026 in Paphos, Cyprus.

This workshop focuses on the design, analysis, and deployment of intelligent agents that contribute positively to society. As AI agents become increasingly autonomous and embedded in real-world systems, it is critical to ensure that their behavior aligns with human values and societal goals, rather than optimizing narrowly defined technical objectives. The workshop provides a forum to discuss how agent-based technologies can be responsibly applied to real-world societal systems, including (but not limited to):

Topics of Interest

• Public health and healthcare
• Education
• Climate, sustainability, conservation
• Transportation and mobility
• Public infrastructure, smart cities, smart grids
• Supply chains and logistics
• Emergency response and disaster management
• Agriculture and food systems
• Labor markets and the future of work
• Housing and land-use planning
• Ethics, fairness, and discrimination
• Online information integrity and misinformation
• Security and cybersecurity
• Governance, policy design, and decision support

Societal impact cannot be achieved through algorithmic optimization alone. Progress requires an integrated perspective that connects agent engineering (how agents are built), computational social science (how social systems are modeled and studied), and human agent interaction (how agents work with people). Therefore, we welcome researchers working on agents and society across AI, empirical social science, and public policy.

For any questions related to the workshop, please contact Panayiotis Danassis at P.Danassis [at] soton.ac.uk

Submission Information at a Glance

Detailed Information

We invite papers (work-in-progress, or published works with interesting novelty) in two categories:

1. Research papers describing novel contributions using multi-agent systems in societal challenges. Both work-in-progress and recently published work will be considered. Submissions describing recently published work should clearly indicate the earlier venue and provide a link to the published paper. Papers in this category should be at most 6-8 pages (in AAMAS format), with any number of additional pages containing bibliographic references only.

2. Position papers describing open problems or neglected perspectives in the field, proposing ideas for bringing MAS methods into a new application area, or summarizing the focus areas of a group working on MAS for societal challenges. Papers in this category should be at most 4 pages (in AAMAS format), with any number of additional pages containing bibliographic references only.

The submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. Collaboration with NGOs and society stakeholders that have first-hand knowledge of the topic will be especially appreciated.

Please note that at least one author must register for the workshop and attend in person. This workshop has no archival proceedings, and the accepted papers are allowed to be submitted to other conference venues. Accepted submissions will have the option of being posted online on the workshop website. For authors who do not wish their papers to be posted online, please inform the organizers. We also welcome papers accepted at other venues to facilitate discussion.

Times below in local time (Cyprus Time)

1. Yohai Trabelsi, Guojun Xiong, Fentabil Getnet, Stéphane Verguet and Milind Tambe. Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Human-AI Alignment into Algorithmic Planning
2. Canyu Chen, Kangyu Zhu, Zhaorun Chen, Zhanhui Zhou, Shizhe Diao, Yiping Lu, Tian Li, Manling Li and Dawn Song. Federated Agent Reinforcement Learning
3. Yixuan Yuan, Dedai Wei, Chudong Qian, Ziyue Lin, Yuheng Zhao and Xinwu Ye. Hedging the Black Box: A Feasibility Study of Financial Risk Transfer for AI Adoption via Generative Agent Simulation
4. Or Bachar, Or Levi, Sardhendu Mishra, Adi Levi, Manpreet Singh Minhas, Justin Miller, Omer Ben-Porat, Eilon Sheetrit and Jonathan Morra. LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
5. Anastasia Psarou, Łukasz Gorczyca, Dominik Gaweł and Rafał Kucharski. Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games.
6. Stefan Roesch, Yali Du, Stefanos Leonardos and Odinaldo Rodrigues. Emergent Cooperation via Participation-Driven Partner Choice in Low-Information Social Dilemmas
7. Oskar Bohn Lassen, Serio Angelo Maria Agriesti, Filipe Rodrigues and Francisco Camara Pereira. Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
8. Syed Rafi Ahmed. Multi-Agent Systems for Economic Justice: Open Problems in Democratizing AI-Driven Decision Support for SMEs
9. Nikolaos Lazaridis and Pinar Yolum. Agent-Based Auditing of Online Platforms for Algorithmic Manipulative Personalization
10. Julio Cesar Dos Reis. Agentic Learning Ecosystem for Open, Negotiated, and Accountable Education
11. Guojun Xiong, Mauricio Tec, Haichuan Wang and Milind Tambe. Rule-Bottleneck RL: Learning to Decide and Explain for Sequential Resource Allocation via LLM Agents
12. Guilherme Santos and Pedro Campos. TERRA - Trade, Equity Resource Redistribution in Agriculture - An Agent-Based Model for Drought-Prone Areas
13. Federico Gabriele, Aldo Glielmo and Marco Taboga. Heterogeneous RBCs via deep multi-agent reinforcement learning
14. Itay Segev and Sarah Keren. Multi Perspective Actor Critic: Adaptive Value Decomposition for Robust and Safe Reinforcement Learning
15. Andrew Poile, Baharak Rastegari, Sebastian Stein and Vahid Yazdanpanah. A Stable and Student-Optimal School Choice Mechanism with Transportation
16. Vincenzo Auletta, Diodato Ferraioli and Grazia Ferrara. Influence Maximization in Unknown Social Networks: A Contextual Bandit Approach
17. Sabrina Guidotti, Gregor Donabauer, Davide Taibi, Giuseppe Vizzari, Udo Kruschwitz and Dimitri Ognibene. Introducing a Novel Framework for Recognizing Social Media Recommenders Under Absent Recommendations and a First Graph Neural Network-Based Implementation
18. Mrishika Nair, Georgios Ioannides, Jeremy Roghair, Rohit Thekkanal, Huan Song, Hannah Marlowe and Sharlina Keshava. Joint Contrastive-Generative Architecture for Domain-Specific Multi-Agent Orchestration in Clinical Decision Assistance
19. Stefano Livella, Luca Bolis, Sabrina Patania, Matteo Papini, Kenji Morita and Dimitri Ognibene. Modelling and Mitigating Problematic Social Media Use through Paired Recommender Systems with Contrasting Objectives
20. Ivan Puga-Gonzalez, Önder Gürcan, Vanja Falck, Christopher Frantz, F. Leron Shults, David Herbert, Larissa Lopes Lima and Markus Grendstad Rousseau. A Multi-Level Agent-Based Architecture for Climate Governance Integrating Cognitive and Institutional Dynamics
21. Lokesh Singh, Athina Georgara, Jayati Deshmukh, Tan Viet Tuyen Nguyen and Sarvapali D Ramchurn. Decision-Level Fusion for Robust Wearable Affect Recognition
22. Elsa Donnat. Designing Governable Agent Economies: A Coupled Design Space
23. Keeheon Lee, Kunhee Ryu and Hogyun Yoo. Manners Maketh MAN: Multi-Agent Norm Dynamics under Cultural Moral Values
24. Mariam Afonso, Iohan Sardinha, Jadna Cruz, Thiago Sobral and Rosaldo Rossetti. Simulating Nudging Policies for Sustainable Urban Mobility
25. Filippo Gasco, Nicolo' Luigi Allegris, Stefano Livella, Luca Bolis, Sabrina Guidotti and Dimitri Ognibene. Beyond Personalization: Multi-User Recommender Dynamics and Robust Mitigation of Social Media Addiction
26. Jari Ala-Ruona, Harko Verhagen, Claes Granmar, Joakim Hedenstedt and Outi Korhonen. Reconfiguring the social turn of multi-agent systems research in the age of agentic genAI
27. Vrinda Malhotra. Spillover-Aware Integrity for Human-AI Platform Governance: Why Single-Platform Metrics Fail and What to Measure Instead
28. Zeina Elrawashdeh, Amir Sartipi, Igor Tchappi and Afshin Khadangi. Agentic Science: Orchestrating MAS and LLMs for Multidisciplinary to Transdisciplinary Discovery