DeepXplain 2025: Explaining AI for Responsible AI
Join the DeepXplain 2025 special session at IJCNN 2025 to improve the interpretability of Deep Neural Networks while addressing fairness and bias mitigation.
Join the DeepXplain 2025 special session at IJCNN 2025, dedicated to improving the interpretability of Deep Neural Networks (DNNs) while addressing fairness and bias mitigation. Learn more about the conference and submission guidelines.
Key dates:
- Submission link: https://cmt3.research.microsoft.com/IJCNN2025/
- Submission deadline: January 30, 2025
- Notification date: March 15, 2025
- Camera-ready submission: May 1, 2025
Topics of interest include theoretical advances in post-hoc explaining methods, development of inherently interpretable architectures, and studies on ethics, fairness, and interpretability in large-scale language models.
Tags: DeepXplain 2025, Explainable AI, Responsible AI, Deep Neural Networks, IJCNN 2025, Interpretability, Fairness, Bias Mitigation