contribute

 We invite submissions related to the theme of “Interpretability and Explainability”, which includes, but is not limited to:

• Causal and Counterfactual Reasoning in AI

• Cognitive Modeling for Interpretable and Human-Aligned AI

• Evaluation for Explainability, Trust, Transparency, and Faithfulness

• Explainable Reinforcement Learning (RL)

• Failure Recognition, Assessment, and Recovery in Robotic Scenarios

• Foundation models for Interpretability and Transparency

• Human and Context Awareness in Robotics

• Interactive Visualization and Explanation Interfaces

• Interpretable and Transparent Robot Behavior

• Knowledge-Based Robotic Design

• Multimodal and Grounded Explanations (Vision, Language, and Sensor Data)

• Multimodality and Language Grounding in Vision, Sound, Robotics, and Beyond

• Navigation, Planning, and Control in Robotic Systems

• Post-hoc Explanation Techniques

• Robotic Decision-Making

• Security and Ethics AI in Explainable Systems

• Trustworthiness, Faithfulness, and Robustness in AI and Robotics

• Authors should submit a PDF file to the submission site: https://www.conferences.uni-hamburg.de/event/675/

• Extended abstract manuscripts should consist of 2-4 pages, excluding references. 

• The following template should be used: https://www.overleaf.com/read/vbwsgjvkpyjt#58e0d7

The peer review process will be Open review process. The identity of the Authors and the Reviewers will be public / visible to each other. 

Every paper will be reviewed by at least two reviewers. Should a paper be accepted, the authors will be asked to submit a camera-ready version.