Connectionists: Call for Papers: AIMLAI Workshop @ECML-PKDD 2025

[Megha Khosla]

We invite researchers working on interpretability and explainability in machine learning and artificial intelligence, as well as related topics, to submit regular papers (14 pages, single column) or short papers (7 pages, single column)to the AIMLAI Workshop, to be held in conjunction with ECML/PKDD 2025.
Website: https://project.inria.fr/aimlai/
Submission link: https://cmt3.research.microsoft.com/ECMLPKDDWorkshopTrack2025/Submission/Index
Submission deadline: June 14, 2025
 
AIMLAI (Advances in Interpretable Machine Learning and Artificial Intelligence) aims to foster principled research and discussion on building explainable machine learning and AI systems . We invite contributions from researchers in academia and industry that approach the challenges of achieving explainability and interpretability in AI systems from technical, as well as legal, ethical, or sociological perspectives.
 
Submissions may include:
Novel research results
Application experiences
Tools and systems
Preliminary ideas with promising potential
Topics of Interest (non-exhaustive)
 
Interpretable Machine Learning
Interpretable-by-design models
Explainable recommendation systems
Multimodal explanations
Explainability for large language models (LLMs)
LLMs as tools for explainability
Mechanistic interpretability
 
Transparency, Ethics, Fairness and Privacy
Ethical implications of AI/ML
Legal frameworks and compliance
Fairness and bias mitigation
Interplay of explainability and privacy 
 
Methodology & Evaluation
Formal measures of interpretability and explainability
Trade-offs between interpretability and model complexity
Evaluation frameworks
User-centered interpretability
 Explanation Modules & Human Integration
Semantics in explanations
Human-in-the-loop systems
Combining ML, information visualization, and human-computer interaction
We look forward to your contributions and to engaging discussions at AIMLAI 2025!
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