EXTRAAMAS 2023

The 5th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS) runs since 2019, and is a well-established workshop and forum. It aims to discuss and disseminate research on explainable artificial intelligence, with a particular focus on intra/inter-agent explainability and cross-disciplinary perspectives. In its 5th edition, EXTRAAMAS 2023 identifies four particular focus topics with the ultimate goal of strengthening cutting-edge foundational and applied research.

• Track1: XAI in symbolic and subsymbolic AI
  XAI for Machine learning  •  Explainable neural networks  •  Symbolic knowledge injection or extraction  •  Neuro-symbolic computation  •  Computational logic for XAI  •  Multi-agent architectures for XAI  •  Surrogate models for sub-symbolic predictors  •  Explainable planning (XAIP)  •  XAI evaluation 

• Track3: Explainable Robots and Practical Applications
  Explainable remote robots  •  Explainability and embodiment  •  Practical XAI applications  •  Emotions in XAI  •  Perception in XAI  •  Human-Robot Interaction (HRI) studies  •  Communication and reception of explanations  •  Agent simulations and XAI 

• Track2: XAI in negotiation and conflict resolution
  Explainable conflict resolution techniques/frameworks  •  Explainable negotiation protocols and strategies  •  Explainable recommendation systems  •  Trustworthy voting mechanisms  •  Argumentation for explaining the process itself  •  Argumentation for explaining and supporting the potential outcomes  •  Explainable user/agent profiling (e.g., learning user's preferences or strategies)  •  User studies and assessment of the aforementioned approaches  •  Applications (virtual coaches, robots, IoT) 

• Track4: (X)AI in Law, and Ethics
  XAI in AI & Law  •  Fair AI  •  XAI & Machine Ethics  •  Bias reduction  •  Deception and XAI  •  Persuasive technologies and XAI  •  Nudging and XAI  •  Legal issues of XAI  •  Liability and XAI  •  XAI, Transparency, and the Law  •  Enforceability and XAI  •  Culture-aware systems and XAI