[CfP] Special Issue on “Causal AI: Integrating Causality and Machine Learning for Robust Intelligent Systems”

[Dr. Vinod Kumar Chauhan]

We are pleased to invite submissions to a special issue (Research Topic) jointly hosted by Frontiers in Artificial Intelligence and Frontiers in Big Data on:

Causal AI: Integrating Causality and Machine Learning for Robust Intelligent Systems🔗 https://www.frontiersin.org/research-topics/73155/causal-ai-integrating-causality-and-machine-learning-for-robust-intelligent-systems

This Research Topic welcomes original research, reviews, and perspective papers that lie at the intersection of causality and artificial intelligence. We particularly encourage contributions that advance the development of robust, trustworthy, and generalisable machine learning models using causal inference, as well as methodological innovations in causal discovery, counterfactual reasoning, causal representation learning, and individualised treatment effect estimation.

📌 Manuscript Summary Submission Deadline: 15 November 2025
📌 Manuscript Submission Deadline: 27 February 2026

We look forward to your contributions to this emerging and impactful field.

1. Kind regards,

2. Thanks and Regards
   Dr Vinod Kumar Chauhan
   Strathclyde Chancellor's Fellow in AI (Lecturer)
   Department of Computer and Information Sciences
   University of Strathclyde, UK
   Visiting Scholar and MPLS Enterprise & Innovation Fellow 2025-26
   University of Oxford, UK
   Editor: PLOS Digital Health & Int. J. AI in Healthcare
   Email: vinod...@strath.ac.uk
   Lab page: https://lab-chai.github.io/ (in progress)