About
Distributed Artificial Intelligence (DAI) is transforming how humans, machines, and institutions make decisions together. Yet its most profound challenges — from governance and trust to collaboration and accountability — lie beyond any single discipline. The Bridging Disciplines in Distributed AI (BDDAI) workshop invites researchers, practitioners, and policymakers to explore new frameworks, methods, and dialogues that connect the technical, social, ethical, and organizational dimensions of DAI. Our goal: to foster collaboration across boundaries and imagine distributed intelligence systems that are not only efficient — but responsible, explainable, and human-centered.
The workshop is co-located with the Distributed Artificial Intelligence (DAI) conference. Registration gives access to the entire (four day) conference. Check out the conference program!
For any questions related to the workshop, please contact A.Salehi-Fathabadi [at] soton.ac.uk
Topics of Interest
- Distributed governance and multi-agent coordination
- Organizational and sociotechnical models of collaboration
- Legal, ethical, and policy frameworks for federated or distributed AI
- Cognitive and behavioral foundations of collective decision-making
- Human–machine teaming, autonomy, and trust evaluation
- Participatory and human-centered design approaches in DAI
Keynote Speakers
Prof Thomas Irvine
University of Southampton, UK
Responsible Music AI: Perspectives from the Arts and Humanities
Prof Bo An
Nanyang Technological University, Singapore
From Algorithmic and RL-based to LLM-powered Agents
Dr Javid Farahani
Co-Founder & CEO, CogMap, UK
The Human Node in Distributed AI
Workshop Program
Location: KIN G21 (K0.31 – Small Committee Room)
09:00 – 10:00
Opening and Keynote — Prof. Thomas Irvine
Responsible Music AI: Perspectives from the Arts and Humanities
10:00 – 10:30
Accepted Talk — Larkin Liu
Optimal Incentivation for the Multi-Follower Principal Agent Stackelberg Game
10:30 – 11:00
☕ Coffee Break (Council Room)
11:00 – 12:00
Keynote — Dr. Javid Farahani
The Human Node in Distributed AI: Measuring the Cognitive Impact of Automation
12:00 – 12:30
Accepted Talk — Minghui Ding
Decentralized Multi-agent Reinforcement Learning: Design Challenges and Opportunities
12:30 – 13:30
🍽️ Lunch (Council Room)
13:30 – 14:30
Keynote — Prof. Bo An
From Algorithmic and RL-based to LLM-powered Agents
14:30 – 15:30
Discussion Panel and Closing
15:30 – 16:00
☕ Coffee Break (Council Room)
Organisers
Dr. Asieh Salehi Fathabadi
University of Southampton
Prof. Pauline Leonard
University of Southampton
Dr. Yali Du
King's College London
Dr. Teresa Scassa
University of Ottawa
Prof. Thomas Irvine
University of Southampton