Workshop on Decoding Decisions: Explainability in ML & Sequential Decision Making

Workshop at The Conference on Robots and Vision (CRV) 2025

Machine learning and sequential decision making systems are increasingly deployed in high-stakes domains such as healthcare, finance, and autonomous systems. However, the opaque nature of these models raises concerns about transparency, accountability, and robustness. This workshop aims to advance research in explainability for machine learning and sequential decision-making by exploring methodologies to interpret model-driven decisions, understand causal mechanisms, and ensure fairness and reliability in real-world use cases.

Submission Deadline: 14th May, 2025, 11:59 PM (AoE).
The workshop will be held on 26th May in Calgary.
For latest news about the workshop, follow @ddxmlcrv on X/Twitter.


Confirmed Speakers

David Meger

McGill University, Mila
 
 

Svetlana Yanushkevich

University of Calgary
 
 

Hassan Sajjad

Dalhousie University
 
 

Tutorials

Samira Ebrahimi Kahou

University of Calgary, Mila, CIFAR AI Chair
 
 

Ulrich Aïvodji

ETS Montreal, Mila
 
 

Organizers

Ankur Garg

University of Calgary
 
 

Manizheh GhaemiDizaji

University of Calgary
 
 

Rishav Rishav

Mila, University of Calgary
 
 

Samira Ebahimi Kahou

University of Calgary, Mila, CIFAR AI Chair
 
 

Program Committee

  • Ankur Garg
  • Manizheh GhaemiDizaji
  • Rishav Rishav
  • Kiana Kazeminejad
  • Gona Rahmaniani

Questions?

Contact us at explainableml2025@gmail.com or @ddxmlcrv.