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